Deep Learning for Beginners: This Book Includes 2 Manuscripts: Deep Learning for Beginners AND Data Science from Scratch

Steven Cooper

  • 出版商: W. W. Norton
  • 出版日期: 2018-09-06
  • 售價: $1,320
  • 貴賓價: 9.5$1,254
  • 語言: 英文
  • 頁數: 354
  • 裝訂: Paperback
  • ISBN: 1727127269
  • ISBN-13: 9781727127263
  • 相關分類: ScratchDeepLearningData Science
  • 無法訂購

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商品描述

Buy the Paperback version of this bundle, and get the Kindle eBook version included for FREE



Get 2 books in 1! This is the bundle of two successful books in the market!



Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn:


  • The different types of learning algorithm that you can expect to encounter

  • The numerous applications of machine learning

  • The different types of machine learning and how they diffe

  • The best practices for picking up machine learning

  • What languages and libraries to work with

  • The future of machine learning

  • The various problems that you can solve with machine learning algorithms

  • And much more...







Book 2: In "Neural Networks: A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention" you will learn:


  • The history of neural networks and the way modern neural networks work

  • How deep learning REALLY works

  • The different types of neural networks

  • The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST

  • How to build your own neural network

  • An effective technique for hacking into a neural network

  • Some introductory advice for modifying parameters in the code-based environment

  • And much more...


These books provide proven concepts and strategies for people who want to know more about machine learning and neural networks. After reading this bundle you will be able to choose the right kind of architecture, how to build a system that can learn, how to train it, and then how to use it to accomplish your goals.

Get your copy of these fantastic guides as a part of your commitment to improving your data knowledge. Don’t wait any longer and scroll up to click the buy now button!

商品描述(中文翻譯)

購買這個套裝的平裝本,並免費獲得 Kindle 電子書版本。

獲得 2 本書合而為一!這是市場上兩本成功書籍的套裝!

書籍 1:在《機器學習:初學者入門,為什麼機器學習在今天如此重要,以及機器學習網絡、算法、概念和神經網絡的真正運作方式》中,您將學到:

- 您可能會遇到的不同類型的學習算法
- 機器學習的眾多應用
- 機器學習的不同類型及其差異
- 學習機器學習的最佳實踐
- 應該使用哪些語言和庫
- 機器學習的未來
- 您可以用機器學習算法解決的各種問題
- 還有更多...

書籍 2:在《神經網絡:理解和編程神經網絡的實用指南以及啟發再創造的有用見解》中,您將學到:

- 神經網絡的歷史以及現代神經網絡的運作方式
- 深度學習的真正運作方式
- 不同類型的神經網絡
- 能夠向他人解釋神經網絡,同時能夠在不完全迷失的情況下基於這些知識進行深入
- 如何構建自己的神經網絡
- 一種有效的技術來破解神經網絡
- 在基於代碼的環境中修改參數的一些入門建議
- 還有更多...

這些書籍提供了經過驗證的概念和策略,適合想要深入了解機器學習和神經網絡的人士。閱讀完這個套裝後,您將能夠選擇合適的架構,如何構建一個能夠學習的系統,如何訓練它,然後如何利用它來實現您的目標。

獲得這些精彩指南的副本,作為您提升數據知識的承諾的一部分。不要再等待,向上滾動並點擊立即購買按鈕!