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Machine Learning | Google for Developers Since 2018, millions of people worldwide have relied on Machine Learning Crash Course to learn how machine learning works, and how machine learning can work for them We're delighted to announce the launch of a refreshed version of MLCC that covers recent advances in AI, with an increased focus on interactive learning Watch this video to learn more about the new-and-improved MLCC
Machine Learning | Google for Developers 自 2018 年以来，全球数百万人通过机器学习速成课程了解了机器学习的工作原理，以及机器学习如何为他们提供帮助。我们很高兴地宣布，全新版本的 MLCC 现已发布，该版本涵盖 AI 领域的最新进展，并更加侧重于互动式学习。观看此视频，详细了解经过改进的 MLCC。
Machine Learning | Google for Developers Educational resources for machine learning The advanced courses teach tools and techniques for solving a variety of machine learning problems The courses are structured independently Take them based on interest or problem domain
Introduction to Machine Learning | Google for Developers Welcome to Introduction to Machine Learning! This course introduces machine learning (ML) concepts This course does not cover how to implement ML or work with data Estimated Course Length: 20 minutes Learning objectives: Understand the different types of machine learning Understand the key concepts of supervised machine learning Learn how solving problems with ML is different from
Machine Learning Artificial Intelligence Basics - Google Developers New to machine learning, or need a refresher? Check out the resources below Estimated Read Time: 10 minutes Learning objectives: Define machine learning and artificial intelligence Describe applications of ML and AI Machine learning (ML) is the field of study of programs or systems that trains models to make predictions from input data
What is Machine Learning? | Google for Developers A reinforcement learning system generates a policy that defines the best strategy for getting the most rewards Reinforcement learning is used to train robots to perform tasks, like walking around a room, and software programs like AlphaGo to play the game of Go Generative AI Generative AI is a class of models that creates content from user input
Fairness | Machine Learning | Google for Developers The Fairness module of Machine Learning Crash Course provides an in-depth look at fairness and bias mitigation techniques People + AI Research (PAIR) offers interactive AI Explorables on Measuring Fairness and Hidden Bias to walk through these concepts