Introduction to Machine Learning
A self-study guide for aspiring machine learning practitioners
Machine Learning Tutorial for Beginners-Using Javascript
Tackle real browser or server challenges with machine learning and neural networks
18 m
Machine Learning
Popular courseMachine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed.
60 h
Data Science: Machine Learning
Learn the basics of machine learning, the science behind the most popular and successful data science techniques, to build a movie recommendation system.
24 h
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Learn Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai. If you are a software developer who wants to build scalable AI-powered algorithms
30 h
Structuring Machine Learning Projects
You will learn how to build a successful machine learning project.
5 h
Machine Learning Foundations: A Case Study Approach
Learn Machine Learning Foundations: A Case Study Approach from University of Washington. Do you have data and wonder what it can tell you?
24 h
Mathematics for Machine Learning: Linear Algebra
Offered by Imperial College London. In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices.
19 h
Sequences, Time Series and Prediction
Learn Sequences, Time Series and Prediction from deeplearning.ai. If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them.
8 h
Data Science, Machine Learning, Data Analysis, Python & R
FREE Python and R Programming Course on Data Science, Machine Learning, Data Analysis, and Data Visualization
8 h 7 m
Machine Learning: Regression
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms).
22 h
Fundamentals of Reinforcement Learning
Learn Fundamentals of Reinforcement Learning from University of Alberta, Alberta Machine Intelligence Institute. Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making
19 h
Machine Learning: Classification
In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks.
21 h
Введение в машинное обучение
Введение в машинное обучение from National Research University Higher School of Economics, Yandex School of Data Analysis.
56 h
Subjects
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