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Stanford CS229 - Machine Learning Alternatives
Explore popular alternatives of Stanford CS229 - Machine Learning at one place, all suggested and ranked by the CybrHome user community.
Stanford CS229 - Machine Learning Alternatives in Machine Learning Courses
Machine Learning Crash Course (Google Developers)↗
An intensive, practical 20-hour introduction to machine learning fundamentals, with companion TensorFlow exercises.
Machine Learning Course by Andrew Ng (Coursera)↗
Learn Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.
Data Science: Machine Learning by Harvard (edx.org)↗
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Machine Learning with Python (edx.org)↗
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Intro to Machine Learning (Udacity)↗
This class will teach you the end-to-end process of investigating data through a machine learning lens & you'll apply what you've learned to real-world dataset.
Machine Learning by Georgia Tech (Udacity)↗
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
Kaggle Learn↗
Beginner level Machine Learning course using Python. Practical data skills you can apply immediately: that's what you'll learn in these free micro-courses.
Machine Learning with R↗
Learn machine learning in this beginner course with hands-on labs, such as classification, clustering, neural networks, regression & recommender systems.
Introduction to Machine Learning for Coders (fast.ai)↗
fast.ai's practical deep learning MOOC for coders.
Similar Websites
Machine Learning Crash Course (Google Developers)↗
An intensive, practical 20-hour introduction to machine learning fundamentals, with companion TensorFlow exercises.
Machine Learning Course by Andrew Ng (Coursera)↗
Learn Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.
Data Science: Machine Learning by Harvard (edx.org)↗
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Machine Learning with Python (edx.org)↗
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.
Intro to Machine Learning (Udacity)↗
This class will teach you the end-to-end process of investigating data through a machine learning lens & you'll apply what you've learned to real-world dataset.
Machine Learning by Georgia Tech (Udacity)↗
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
Kaggle Learn↗
Beginner level Machine Learning course using Python. Practical data skills you can apply immediately: that's what you'll learn in these free micro-courses.
Machine Learning with R↗
Learn machine learning in this beginner course with hands-on labs, such as classification, clustering, neural networks, regression & recommender systems.
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