Machine Learning for Healthcare

6 reviews

This course introduces students to machine learning in healthcare, including the nature of clinical data, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.

• MIT OpenCourseWare
• 31 hours
• On-Demand
• Free Video

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 reviews

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

• Udacity
• 4 weeks
• On-Demand
• Free Online Course

Machine Learning Essentials

Explore statistical learning techniques for machine learning, including linear regression and classification. Apply concepts through Python coding assignments and practical problem-solving.

• Coursera
• 17 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

AI and Machine Learning Essentials with Python

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• On-Demand
• Paid Course
• 3 courses

Machine Learning: Clustering & Retrieval

5 reviews

Explore similarity-based algorithms for document retrieval, clustering techniques, and topic modeling. Learn to implement k-nearest neighbors, k-means, EM, and LDA for analyzing large text datasets.

• Coursera
• 17 hours 21 minutes
• On-Demand
• Free Online Course (Audit)

Information Extraction from Free Text Data in Health

Learn advanced machine learning and NLP techniques to extract information from unstructured healthcare documents. Develop skills in medical entity recognition, clinical data extraction, and deep learning for health information analysis.

• Coursera
• 1 day 4 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning in Sports Analytics

21 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

AWS Machine Learning Engineer Nanodegree

41 ratings at Udacity

Equip developers with AWS SageMaker skills to build and deploy ML models in production. Learn data science, model design, and best practices for real-world applications.

• Udacity
• 4 months 2 weeks 5 days 11 hours 36 minutes
• On-Demand
• Paid Course

In this course, you’ll learn exactly what to expect during a machine learning interview.

• Udacity
• 1 week
• On-Demand
• Free Online Course

Introduction to Machine Learning

Explore machine learning concepts and workflows using AWS SageMaker, from data analysis to model deployment. Learn to apply ML techniques, use advanced algorithms, and optimize models for real-world scenarios.

• Udacity
• 4 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Small Datasets in Machine Learning

Explore techniques for leveraging small datasets in machine learning, including transfer learning and synthetic data generation, to build powerful models and solve real-world problems.

• Udacity
• 2 weeks, 3-4 hours a week
• On-Demand
• Paid Course

Microcredential

Data Science: Statistics and Machine Learning

Comprehensive data science program covering statistical inference, regression, machine learning, and data product development, culminating in a real-world capstone project.

• Coursera
• 26 weeks, 6 hours a week
• On-Demand
• Paid Course
• 5 courses

Training AI with Humans

Explore machine learning principles, data annotation, and crowdsourcing techniques to enhance AI performance. Develop skills in designing studies, using platforms like AMT, and implementing IAA for high-quality data.

• Coursera
• 22 hours 47 minutes
• On-Demand
• Free Online Course (Audit)

Applied Machine Learning: Techniques and Applications

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• On-Demand
• Free Online Course (Audit)