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Machine Learning with Python
Alexander Cane
Are you looking for a guide that will teach you all you need to know about machine learning? Are you looking for a way to learn how to write algorithms from scratch? Then read on...
Artificial intelligence is a common part of our lives, and we use it daily. Machine learning is one application of artificial intelligence and is where software, computers and devices use cognition to learn. If you use Siri on an iPhone, Cortana on your Windows PC, or Alexa, you are already making use of machine learning, especially when they provide you with traffic news, weather predictions, search results, and more.
With this guide, you will learn the machine learning basics, using real code and open-source data sets.
You will learn:
An overview of the Python languagePopular machine learning algorithmsBasics of machine learningMachine learning terminologyHow to preprocess dataHow to create data setsHow to use Scikit-learn to build modelsUsing TensorFlow to build neural networksAnd much more
I even provide you with a multiple choice quiz, complete with answers, to help you test your knowledge.
If you know nothing about Machine Learning, this is the guide for you - simple, precise, and with plenty of examples.
Hit the Buy Now button to start learning how to code your very own machine learning algorithms.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2020年1月13日 |
| ISBN13 | 9781660139606 |
| 出版社 | Independently Published |
| ページ数 | 184 |
| 寸法 | 152 × 229 × 10 mm · 254 g |
| 言語 | 英語 |