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Introduction to Machine Learning for Coders (fast.ai) Alternatives

Explore popular alternatives of Introduction to Machine Learning for Coders (fast.ai) at one place, all suggested and ranked by the CybrHome user community.
Introduction to Machine Learning for Coders (fast.ai) Alternatives in Machine Learning Courses
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Machine Learning Crash Course (Google Developers)

An intensive, practical 20-hour introduction to machine learning fundamentals, with companion TensorFlow exercises.

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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.

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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.

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Machine Learning with Python (edx.org)

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

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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.

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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.

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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.

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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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Stanford CS229 - Machine Learning

This course provides a broad introduction to machine learning and statistical pattern recognition.

Introduction to Machine Learning for Coders (fast.ai) Alternatives in Machine Learning Courses
coursera.org-1155425d3a Logo
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.

kaggle.com-5fdcdf3609 Logo
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.

Similar Websites
developers.google.com-c91c98d03a Logo
Machine Learning Crash Course (Google Developers)

An intensive, practical 20-hour introduction to machine learning fundamentals, with companion TensorFlow exercises.

coursera.org-1155425d3a Logo
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.

edx.org-295f631f0e Logo
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.

edx.org-cabc2098aa Logo
Machine Learning with Python (edx.org)

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

udacity.com-ab9edd3abb Logo
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.

udacity.com-0879cb3592 Logo
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.com-5fdcdf3609 Logo
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.

cognitiveclass.ai-1cd1fbc8d0 Logo
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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