Machine learning for absolute beginners: Learn To Code A Beginners Introduction To Machine Learning



  • Machine learning for absolute beginners: Learn To Code A Beginners Introduction To Machine Learning by Mike Jones

    English | April 10, 2019 | ISBN: N/A | ASIN: B07QJG3YT7 | 76 pages | AZW3 | 0.21 Mb

    This book is a basic introduction to Machine Learning for Absolute Beginners .

    Will smart machines take over my job? That is a familiar question that comes up whenever people talk about artificial intelligence and machine learning. All of the sudden one’s job security is being threatened. People often fear that which they do not know. And this is the goal of this book—to remove that fear of the unknown for the neophytes and complete 100% beginners to artificial intelligence and machine learning. No, you do not need programming background to understand the concepts presented in this book. This is a mere introduction to the vast ocean of knowledge machine learning and artificial intelligence. This book starts with the basic concepts and touches on some complex topics such as:

    • language processing,
    • deep learning, and machine language.
    • Machine Learning vs. Machine Language
    • Machine Learning vs. Natural Language Processing (NLP)
    • Machine Learning vs. Artificial Intelligence (AI)
    • Machine Learning vs. Deep Learning
    • What are Machine Learning Tasks?
    • History of Machine Learning
    • Types of Machine Learning
    • Machine Learning and its Relationship to Other Fields
    • An introduction to Computational Learning Theory
    • Artificial Neural Networks

      You also get a short history lesson on artificial intelligence and later developments. Beginners will also be introduced to algorithms—and that is where most of the fun get turned up a notch. The book goes over a lot of the problems today that machine learning can help solve. And no, the goal is not to replace you in your job. The author breaks everything down for you from linear regression, big data, to artificial neural networks. Will you learn how to program your own machine learning algorithm with this book? Unfortunately that is a whole different beast altogether and will require an entire series of books if you are interested in that subject. What you will learn here from this book may just be the tip of the iceberg but it is enough to dip your toes soaking wet in the subject. Finally you will learn about the tools of the trade and the next steps in case you are interested in the applications of machine learning—either launching a career or incorporating it into your business.

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