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Deep Learning for Beginners: 2 Manuscripts

Deep Learning for Beginners and Data Science from Scratch
Narrated by: Christopher Nieten
Length: 7 hrs and 47 mins
4 out of 5 stars (2 ratings)

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Publisher's Summary

This is the bundle of two successful audiobooks in the market!

In Deep Learning for Beginners: A Comprehensive Introduction of Deep Learning Fundamentals for Beginners to Understanding Frameworks, Neural Networks, Large Datasets, and Creative Applications with Ease, you will learn:

  • Deep learning utilizes frameworks which allow people to develop tools able to offer better abstraction, along with simplification of hard programming issues 
  • TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook 
  • Several components and tools of deep learning, such as the neural networks, CNNs, RNNs, GANs, and auto-encoders
  • Several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity
  • And much more

In Data Science from Scratch: The #1 Data Science Guide for Everything a Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees, you will learn:

  • In-depth information about what data science is and why it is important
  • The prerequisites you will need to get started in data science
  • What it means to be a data scientist
  • The roles that hacking and coding play in data science
  • The different coding languages that can be used in data science 
  • Why python is so important
  • How to use linear algebra and statistics 
  • The different applications for data science. 
  • How to work with the data through munging and cleaning
  • And much more

Get your copy of these fantastic audiobooks to master state-of-the-art deep-learning algorithms and their implementation!

©2018 Steven Cooper (P)2018 Steven Cooper

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