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Machine Learning: A Journey from Beginner to Advanced Including Deep Learning, Scikit-learn and Tensorflow
The rate that AI is growing is perhaps too fast to understand. The last 40 years have seen a few false starts but, in the last decade, we’ve seen huge advances in the processing power of computers and in data storage. All of a sudden, the game has changed in a big way.
These days, much of the technology we depend on and rely on daily is powered by AI. Take Google Translate, for example; next time you see something in another language, point your phone camera at it and Google Translate will translate it for you – instantly.
AI is also being used to design treatment plans (evidence-based) for cancer sufferers, analyzing medical results instantly so a patient is sent to the right specialist quickly, and helping in research for drug recovery.
In this guide, we will be exploring machine learning, the concepts that run these technologies and by the time you get to the end you will have more knowledge than many and will be equipped to start building your own applications.
These days, much of the technology we depend on and rely on daily is powered by AI. Take Google Translate, for example; next time you see something in another language, point your phone camera at it and Google Translate will translate it for you – instantly.
AI is also being used to design treatment plans (evidence-based) for cancer sufferers, analyzing medical results instantly so a patient is sent to the right specialist quickly, and helping in research for drug recovery.
In this guide, we will be exploring machine learning, the concepts that run these technologies and by the time you get to the end you will have more knowledge than many and will be equipped to start building your own applications.
312 pages, Paperback
Published July 20, 2018
65 people are currently reading
20 people want to read
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Displaying 1 of 1 review
September 17, 2018
Awful. Amateurishly written. Lightweight content.
There are multitudes of better choices for intro ML (Flach, James/Witten, Géron, etc).
No I didn't read the entire book. I value my time too much.
There are multitudes of better choices for intro ML (Flach, James/Witten, Géron, etc).
No I didn't read the entire book. I value my time too much.
Displaying 1 of 1 review