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Machine Learning Foundations: Welcome to the Journey 4 года назад


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Machine Learning Foundations: Welcome to the Journey

This is a warm welcome to the Machine Learning Foundations series of interactive video tutorials. It provides an overview of the Linear Algebra, Calculus, Probability, Stats, and Computer Science that we'll cover in the series and that together make a complete machine learning practitioner. It also outlines the innovative combination of hands-on code demos, comprehension exercises, and fully-worked solutions that we'll use in the series in order to make learning this content fun and easy. More detail about the Machine Learning Foundation series and all of the associated open-source code is available at github.com/jonkrohn/ML-foundations The next video in the series is here:    • What Linear Algebra Is — Topic 1 of M...   The playlist for the entire series is here:    • Linear Algebra for Machine Learning   This course is a distillation of my decade-long experience working as a machine learning and deep learning scientist, including lecturing at New York University and Columbia University, and offering my deep learning curriculum at the New York City Data Science Academy. Information about my other courses and content is at jonkrohn.com Dr. Jon Krohn is Chief Data Scientist at untapt, and the #1 Bestselling author of Deep Learning Illustrated, an interactive introduction to artificial neural networks. To keep up with the latest from Jon, sign up for his newsletter at jonkrohn.com, follow him on Twitter @JonKrohnLearns, and on LinkedIn at linkedin.com/in/jonkrohn

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