In this video, we go over what Machine Learning is and how it works within the Artificial Intelligence framework. We’ll review the Machine Learning model, learning methods and the algorithms used for different use cases.

A.I. vs Machine Learning vs Deep Networks 0:42
Machine Learning Overview 1:18
Machine Learning Model 1:45
Supervised Learning 2:15
Unsupervised Learning 2:40
Semi-Supervised Learning 3:09
Reinforcement Learning 3:27
Machine Learning Formula 4:05
Classification Algorithm 4:40
Clustering Algorithm 5:40
Recommendation Algorithm 6:43
Regression Algorithm 7:18
Dimensionality Reduction 8:17
Machine Learning Summary 9:27

Microsoft has announced it is incorporating artificial intelligence into its Bing search engine and Edge web broswer. Tony Dokoupil gets a first look at the new technology and sits down with Microsoft CEO Satya Nadella about the future of AI and the impacts on society.

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What does it really mean to deliver an “AI-powered Search” solution? Marry the art of the possible with real-world challenges involved in understanding your content, your users, and your domain. Learn about emerging trends in AI-powered Search, stumbling blocks in even the most advanced AI and Search applications, and learn how to proactively plan for and avoid them. Explore various uses of reflected intelligence and feedback loops for continuous learning from user behavioral signals and content updates, and the increasing importance of virtual assistants and personalized search use cases found within the intersection of traditional search and recommendation engines. Get a baseline of mainstream AI-powered Search capabilities available today, and what is just on the horizon.

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Microsoft announced this week that it is incorporating artificial intelligence into its software and search engine Bing as Google raced to announce similar plans. NBC News’ Jacob Ward has more details on the tech giants battling to win the AI-infused search race.

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