• Deep Learning: Machine Learning and Data Analytics Explained

  • By: David Feldspar
  • Narrated by: Jason R. Gray
  • Length: 1 hr and 12 mins
  • Unabridged Audiobook
  • Release date: 03-15-18
  • Language: English
  • Publisher: David Feldspar
  • 5 out of 5 stars 5.0 (5 ratings)

Regular price: $6.95

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Publisher's Summary

How can deep learning, even machine learning, help your organization?
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. Furthermore, you will hear about subtopics like:

Popular machine learning methods that are being applied today.
Data mining processes that you can easily use for your own company or individual proprietorship.
Insights in supervised versus unsupervised data mining.
Machine learning tactics and know-how.
The five best steps to implement unsupervised big data machine learning.
Ten ways to apply predictive analyses to the banking sector.
Financial optimization techniques for regular processes.
These machine learning, data mining, and other financing strategies are an intellectual, analytical goldmine you can feast your mind on.
©2018 David Feldspar (P)2018 David Feldspar
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Customer Reviews

Most Helpful
5 out of 5 stars
By corneliusdavid on 03-23-18

Quick and helpful...

Machine learning is a must have for every person involved with practical machine learning. The book not only presents a very well thought overview of a wide range of machine learning algorithms, but also shows the best practices when it comes to getting the most out of machine learning models.

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5 out of 5 stars
By Aaliyah on 03-23-18

Definitely helpful

The author successfully made tremendous efforts in bringing a variety of sophisticated machine learning algorithms in both classical statistical learning and deep learning by simple, straightforward and clear explanation together with fully-working step-by-step python codes down to average readers with basic technical understanding in machine learning area.

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