01_01_intro-to-course-3-with-andrew-and-pranav

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

01_02_about-course-3

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

02_01_absolute-risk-reduction

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

02_02_randomized-control-trials

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_01_clarifications-about-upcoming-causal-inference_instructions.html

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_02_causal-inference

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_03_average-treatment-effect

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_04_conditional-average-treatment-effect

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_05_t-learner

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

03_06_s-learner

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

04_01_evaluate-individualized-treatment-effect

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

04_02_c-for-benefit

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

04_03_c-for-benefit-calculation

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

05_01_measuring-treatment-effects_quiz.html

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

06_01_optional-downloading-your-notebook-downloading-your-workspace-and-refreshing_instructions.html

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

06_02_about-the-autograder_instructions.html

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

07_01_medical-question-answering

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

07_02_handling-words-with-multiple-meanings

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

07_03_define-the-answer-in-a-text

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

08_01_automatic-label-extraction-for-medical-imaging

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

08_02_synonyms-for-labels

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

08_03_is-a-relationships-for-labels

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

08_04_presence-or-absence-of-a-disease

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

09_01_evaluating-label-extraction

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

09_02_precision-recall-and-f1-score

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

09_03_evaluating-on-multiple-disease-categories

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

10_01_information-extraction-with-nlp_quiz.html

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

11_01_drop-column-method

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

11_02_permutation-method

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

12_01_individual-feature-importance

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

12_02_shapley-values

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

12_03_combining-importances

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week

12_04_shapley-values-for-all-patients

AI for Medicine Specialization is a training set in the field of artificial intelligence in medical science. Artificial intelligence (machine intelligence) in computer science refers to the intelligence shown by machines. Artificial intelligence helps us by using the commands we give to the machine to make its intelligence similar to human intelligence, ready to learn and solve problems in different fields. Currently, artificial intelligence is very useful in the field of medical science and helps doctors to diagnose diseases more accurately. In the AI ​​for Medicine Specialization training series, you will fully familiarize yourself with the uses of artificial intelligence in the medical industry.

Things taught in this course:

• Diagnosis of diseases using X-rays and 3D MRI images of the brain
• Predict patient survival more accurately using tree-based models
• Estimating treatment effects on patients using data from randomized trials
• Automating the task of labeling medical datasets using natural language processing

Course details

• Publisher: Coursera
• University: deeplearning.ai
• Instructors: Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
• average level
• Number of courses: 3 courses
• English language
• Duration of training: 2 months including 10 hours of work per week