English | November 28, 2019 | ASIN: B0824VX3G1 | 128 pages | PDF | 2 MB

If you want to learn machine learning algorithms from scratch then read more.

Artificial Intelligence is everywhere. You are certainly using it every day. One of the popular applications of it is Machine Learning (ML), in which computers, software, and devices perform via cognition similarly to human brain. Machine learning is an important part of personal assistant like Siri, Alexa, Google Now or search engine results or traffic predictions and much more.

With this book you will learn fundamentals of machine learning, the underlying challenges with example from open source data sets that you can easily access and get your hands dirty.

You will learn:
The most popular and widely used machine learning algorithms
Fundamentals of machine learning used every day for thousands of algorithms
The different stages to create training data set
Scikit-Learn library to develop machine learning models using pictures and actual Python code
The end to end process of creating and training Neural Network models using the TensorFlow
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