Machine Learning

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Dynamic Programming: Applications In Machine Learning and Genomics (edX) EdX
University of California, San Diego,UC San DiegoX

Dynamic Programming: Applications In Machine Learning and Genomics (edX)

Sci: Biology & Life Sciences Sci: Mathematics

Dive into Dynamic Programming: Applications In Machine Learning and Genomics on edX. Learn how to compare genetic strings using sophisticated algorithms and understand the evolutionary paths of genes across different species. Perfect for bioinformatics enthusiasts, data scientists, and anyone interested in advanced computational biology.

Self Paced
Self-Paced
Machine Learning Genomics Dynamic Programming
Details
Essentials of Genomics and Biomedical Informatics (edX) EdX
IsraelX

Essentials of Genomics and Biomedical Informatics (edX)

Sci: Biology & Life Sciences Medicine & Pharmacology

Dive into the data-driven future of medicine with 'Essentials of Genomics and Biomedical Informatics'. This course is designed for clinicians, researchers, and digital health enthusiasts who want to harness the power of genomics and biomedical informatics. Gain an overview of how data is transforming medical research and patient care without becoming a bioinformatician.

Self Paced
5-12 Weeks
Health Artificial Intelligence Machine Learning
Details
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Statistics & Data Analysis Data Science

Elevate your career in data science by completing the Professional Certificate Program in Data Science and culminate it with our Data Science: Capstone project on edX. This final project will challenge you to apply your knowledge of data visualization, probability, inference, modeling, data wrangling, organization, regression, and machine learning through practical R data analysis tasks.

Self Paced
Self-Paced
Probability Machine Learning Regression
Details
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera) Coursera
DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

CS: Software Engineering Computer Science

Dive into the world of artificial intelligence with this comprehensive Introduction to TensorFlow course. Learn best practices for using TensorFlow, a powerful tool for developing scalable machine learning algorithms. Ideal for software developers eager to integrate AI and deep learning into their projects.

Sep 14th 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details
Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Sci: Mathematics

Dive into the fundamental world of Mathematical Matrix Methods with our expert-led online course. Whether you're a student, researcher, or professional looking to enhance your skills in data analysis and machine learning, this course offers a structured pathway to understanding key concepts such as matrix operations, solving linear equations, orthogonality principles, least squares approximations, and the critical Singular Value Decomposition technique. Learn how these methods are applied to real-world problems for dimensionality reduction, noise filtering, and more.

Sep 14th 2026
5-12 Weeks
Math Machine Learning Matrix
Details
CS50's Introduction to Artificial Intelligence with Python (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Artificial Intelligence with Python (edX)

Robotics & Computer Vision

Dive into the world of artificial intelligence with CS50's Introduction to Artificial Intelligence with Python on edX. This introductory course is designed for beginners who want to harness the potential of AI and machine learning using Python. From understanding basic concepts to applying them in practical scenarios, this course equips you with the skills needed to tackle real-world problems and stay ahead in a rapidly evolving tech landscape.

Self Paced
Self-Paced
Python Artificial Intelligence Machine Learning
Details
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

Statistics & Data Analysis Data Science

This course is designed for learners who have completed several courses on Data Science and Machine Learning and are ready to put their knowledge into practice. By working on a real-life data problem, you'll develop a project that demonstrates your ability to apply these techniques effectively in business scenarios, build predictive models, and stand out in the job market.

Self Paced
Self-Paced
Python Machine Learning Data Science
Details
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