Tag: Machine Theory

Artificial Intelligence in Finance: A Python-Based Guide Front Cover

Artificial Intelligence in Finance: A Python-Based Guide

  • Length: 478 pages
  • Publication Date: 2020-11-03
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Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python Front Cover

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

  • Length: 432 pages
  • Publication Date: 2020-11-10
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Artificial Intelligence and Expert Systems Front Cover

Artificial Intelligence and Expert Systems

  • Length: 412 pages
  • Publication Date: 2020-04-14
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AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence Front Cover

AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence

  • Length: 390 pages
  • Publication Date: 2020-10-27
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Lean AI: How Innovative Startups Use Artificial Intelligence to Grow Front Cover

Lean AI: How Innovative Startups Use Artificial Intelligence to Grow

  • Length: 240 pages
  • Publication Date: 2020-03-10
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Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level Front Cover

Write Great Code, Volume 2, 2nd Edition: Thinking Low-Level, Writing High-Level

  • Length: 656 pages
  • Publication Date: 2020-08-18
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Programming Machine Learning: From Coding to Deep Learning Front Cover

Programming Machine Learning: From Coding to Deep Learning

  • Length: 342 pages
  • Publication Date: 2020-04-14
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow Front Cover

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

  • Length: 366 pages
  • Publication Date: 2020-07-28
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PyTorch 1.x Reinforcement Learning Cookbook Front Cover

PyTorch 1.x Reinforcement Learning Cookbook

  • Length: 340 pages
  • Publication Date: 2019-10-31
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Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps Front Cover

Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

  • Length: 404 pages
  • Publication Date: 2020-08-11
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Write Great Code, Volume 1, 2nd Edition: Understanding the Machine Front Cover

Write Great Code, Volume 1, 2nd Edition: Understanding the Machine

  • Length: 472 pages
  • Publication Date: 2020-07-31
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Statistical Machine Learning: A Unified Framework Front Cover

Statistical Machine Learning: A Unified Framework

  • Length: 524 pages
  • Publication Date: 2020-07-02
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