Ml-class.org Website Review


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Traffic and Value

Is ml-class.org legit?
Website Value $833
Alexa Rank 813714
Monthly Visits 9254
Daily Visits 309
Monthly Earnings $46.27
Daily Earnings $1.54
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Ml-class.org Server Location

Country: United States
Metropolitan Area: Seattle
Postal Reference Code: 98108
Latitude: 47.54
Longitude: -122.3032




Summarized Content

Filled StarFilled StarFilled StarFilled StarHalf Faded Star4.9 89,137 ratings Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this clas*, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics Unsupervised learning (clustering, dimensionality reduction, recommender systems, de*p learning). (iii) Best practices in machine applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Subtitles: English, Chinese (Simplified), Hebrew, Spanish, Hindi, Japanese.. More Logistic RegressionArtificial Neural NetworkMachine Learning (ML) AlgorithmsMachine Learning Subtitles: English, Chinese (Simplified), Hebrew, Spanish, Hindi, Japanese.. More Welcome to Machine Learning! In this module, we introduce the core idea of teaching a computer to learn concepts using data—without being explicitly programmed. The Course Wiki is under construction. Please visit the resources tab for the most complete and up-to-date


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