<p>If you need to learn how to use the <strong>Python Programming Language</strong> to implement your own <strong>Machine Learning</strong> solution, and you are searching for a reference to start from, then keep reading.<br></p><p>Machine learning represents now the most interesting, performing and
Python Machine Learning: A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)
β Scribed by Konnor Cluster
- Year
- 2019
- Tongue
- English
- Leaves
- 144
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
If you need to learn how to use the Python Programming Language to implement your own Machine Learning solution, and you are searching for a reference to start from, then keep reading.
Machine learning represents now the most interesting, performing and growing technology among all technologies related to Artificial Intelligence and represents also an incredible opportunity if you want to grow your business or if you are searching for a new job, but itβs not very easy to understand how it works. Sometimes, even the most seasoned and skilled engineers are scared to approach this new topic.
This book can assist you in understandingΒ
- How machine learning worksΒ
- How to work with Python
- How to set up and run a machine learning solution on your home computer
- How to use two of the most popular Machine Learning libraries Β
Even if you have not a degree in computer science or math, even if you have never worked with Machine Learning or Python, with this book you can understand how to benefit from this set of technologies and unlock their extraordinary potential.Β
If you want to enter into the exciting world of Machine Learning, scroll up and click the "buy now" button!
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The book you were waiting for to learn how to program with Python ! <b>β 100% Beginners centered</b> <ul><br><li>Introduction to Python</li><br><li>Variables, Math expressions</li><br><li>User input and conditional statements</li><br><li>Comments, lists, tuple</li><br><li>Dictionary, Loop,