The Second Machine Age PDF Free Download

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eBook Details:

The Second Machine Age Pdf Free Download Free

  • Paperback: 328 pages
  • Publisher: WOW! eBook (April 30, 2019)
  • Language: English
  • ISBN-10: 1789619890
  • ISBN-13: 978-1789619898
  1. The time machine: free download. On-line books store on Z-Library Z-Library. Download books for free.
  2. To my parents, David McAfee and Nancy Haller, who prepared me for the second machine age by giving me every advantage a person could have. Chapter 1 THE BIG STORIES Chapter 2 THE SKILLS OF THE NEW MACHINES: TECHNOLOGY RACES AHEAD Chapter 3 MOORE’S LAW AND THE SECOND HALF OF THE CHESSBOARD.
  3. Andrew McAfee is the co-director of the MIT Initiative on the Digital Economy and co-author of the best-selling The Second Machine Age and Machine, Platform, Crowd: Harnessing Our Digital Future. He and co-author Erik Brynjolfsson are the only people named to both the Thinkers 50 list of the world’s top management thinkers and the Politico 50.

eBook Description:

Machine Learning With Go, 2nd Edition: Infuse an extra layer of intelligence into your Go applications with machine learning and AI

This updated edition of the popular Machine Learning With Go shows you how to overcome the common challenges of integrating analysis and machine learning code within an existing engineering organization.

Machine Learning With Go, Second Edition, will begin by helping you gain an understanding of how to gather, organize, and parse real-world data from a variety of sources. The book also provides absolute coverage in developing groundbreaking machine learning pipelines including predictive models, data visualizations, and statistical techniques. Up next, you will learn the thorough utilization of Golang libraries including golearn, gorgonia, gosl, hector, and mat64. You will discover the various TensorFlow capabilities, along with building simple neural networks and integrating them into machine learning models. You will also gain hands-on experience implementing essential machine learning techniques such as regression, classification, and clustering with the relevant Go packages. Furthermore, you will deep dive into the various Go tools that help you build deep neural networks. Lastly, you will become well versed with best practices for machine learning model tuning and optimization.

  • Become well versed with data processing, parsing, and cleaning using Go packages
  • Learn to gather data from various sources and in various real-world formats
  • Perform regression, classification, and image processing with neural networks
  • Evaluate and detect anomalies in a time series model
  • Understand common deep learning architectures to learn how each model is built
  • Learn how to optimize, build, and scale machine learning workflows
  • Discover the best practices for machine learning model tuning for successful deployments

The Second Machine Age Pdf free. download full


The Second Machine Age Pdf Free Download Pdf

By the end of the Machine Learning With Go, 2nd Edition book, you will have a solid machine learning mindset and a powerful Go toolkit of techniques, packages, and example implementations.