Machine Learning
Learn Machine Learning from the best Machine Learning tutorials, including the most popular Machine Learning online courses, videos, books, podcasts, and blogs.
Reinforcement Learning in Motion
Reinforcement Learning in Motion introduces you to the exciting world of machine systems that learn from their environments. In this course, he'll break down key concepts like how RL systems learn, how to sense and process environmental data, and how to build and train AI agents.
Keras in Motion
Keras in Motion teaches you to build neural-network models for real-world data problems using Python and Keras. In over two hours of hands-on, practical video lessons, you'll apply Keras to common machine learning scenarios, ranging from regression and classification to implementing Autoencoders and applying transfer learning.
Real-World Machine Learning
Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.
Machine Learning with R, Tidyverse, and MLR
Machine learning (ML) is a collection of programming techniques for discovering relationships in data. With ML algorithms, you can cluster and classify data for tasks like making recommendations or fraud detection and make predictions for sales trends, risk analysis, and other forecasts. Once the domain of academic data scientists, machine learning has become a mainstream business process, and tools like the easy-to-learn R programming language put high-quality data analysis in the hands of any programmer.