Machine Learning For Absolute Beginners: A Plain English Introduction (AI, Data Science, Python & Statistics for Beginners) [Theobald, Oliver] on Amazon.com. *FREE* shipping on qualifying offers. Machine Learning For Absolute Beginners: A Plain English Introduction (AI, Data Science, Python & Statistics for Beginners)

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add'Machine Learning' to your LinkedIn profile? Before you embark on your journey, there are some high-level theory and statistical principles to weave through first.

Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add'Machine Learning' to your LinkedIn profile? Before you embark on your journey, there are some high-level theory and statistical principles to weave through first. Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.

NOTICE: To buy the newest edition of this book (2021), please search "Machine Learning Absolute Beginners Third Edition" on Amazon. The product page you are currently viewing is for the 2nd Edition (2017) of this book. Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your epic journey, there are some high-level theory and statistical principles to weave through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first.

I purchased two introductory e-books on Machine Learning. The $20 book had 399 pages but I got so completely lost before hitting page 100 that I gave up in defeat. Then I found this $3 book – Machine Learning for Absolute Beginners – was not only short but it came out as the clear winner because I was able to get through right to the end of it with ease and without confusion. So turns out I got more than my money's worth here with this book! And on top of that, this book was clear, well-written and a definite confidence builder.

The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an'input command' to perform a task, but rather'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human would. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted.