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The Machine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data
Author:
David Feldspar
Read by:
Jason R. Gray
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Release Date
July 26, 2019
Duration
3 hours 51 minutes
Summary
Book 1: The lofty expectations about machine learning and deep studies and projects have skyrocketed, and yet, there is so much left to be said about the methods that trigger the higher-functioning corners of the human neural networks. With so many data and investments on the line, how can we deepen our understanding of these subjects? That is where this guide will take you to the next level. It touches on exactly those problems and methods that optimize your financing and comprehension of the little details that often get overlooked.
Book 2: Big data can tremendously improve a company’s performance. Many company owners or accountants don’t look at all the numbers, misread the numbers, or don’t know how to scale faster and more effectively.
Book 3: Dive deeper into the world of mining for or analyzing text. Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in specific texts, and using existing models to analyze each and every word in relation to each other.
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