Nome: | [Stone River eLearning] Math for Machine Learning - [FCO] GloDLS |
Description: Author: Richard Han Publisher[b/]: Stone River eLearning [b]Release Date: May 2018 ISBN: 200000006A0200 Language: English Torrent Contains: 79 Files Course Source: https://www.oreilly.com/library/view/math-for-machine/200000006A0200/ Video Description Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as: Computer Science Data Science Artificial Intelligence If you're looking to gain a solid foundation in Machine Learning to further your career goals, in a way that allows you to study on your own schedule at a fraction of the cost it would take at a traditional university, this online course is for you. If you're a working professional needing a refresher on machine learning or a complete beginner who needs to learn Machine Learning for the first time, this online course is for you. Why you should take this online course: You need to refresh your knowledge of machine learning for your career to earn a higher salary. You need to learn machine learning because it is a required mathematical subject for your chosen career field such as data science or artificial intelligence. You intend to pursue a masters degree or PhD, and machine learning is a required or recommended subject. Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus. Table of Contents • Course Promo • Introduction • Linear Regression • Linear Discriminant Analysis • Logistic Regression • Artificial Neural Networks • Maximal Margin Classifier • Support Vector Classifier • Support Vector Machine Classifier. | |
Video YouTube: | |
Categoria: | Tutorials |
Idioma: | English |
Total Size: | 521.30 MB |
Informações Hash: | 049F9792733CA74149FBD439DEDBEFCD218ABBAD |
Adicionado por: | Prom3th3uS |
Data adicionada: | 2019-01-11 14:29:48 |
Torrent Status: | Torrent Verified |
Ratings: | Not Yet Rated (Log in to rate it) |
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