|Название: Machine Learning: 2 Manuscripts in 1 Book: Machine Learning For Beginners & Machine Learning With Python
Автор: Hein Smith
Издательство: Independently published
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB
A baby learns to crawl, walk and then run. we are in the crawling stage when it comes to appllying Machine Learning.
Just about anyone with the slightest bit of interest in modern technology is looking to learn more about Machine Learning. This innovative new form of computer programming is the primary tool that makes it possible for a machine to perform a wide range of tasks for you that could range from recommending a good movie to driving you to work every day.
This Machine Learning bundle contains everything you need to know about Machine Learning and has the following guides:
1. Machine Learning For Beginners
2. Machine Learning with Python
Most of the books on the topic assume that you have at least a fundamental knowledge of the subject. If you’re interested in getting a better grasp at just how this new technology works and what it means for the masses then this is the book for you. Here you will learn :
- What Machine learning truly is
- What are Neural networks
- How it applies to Deep Learning
- What are algorithms and how are they used
- And some of the many applications that Machine learning is already using
Are you stuck in getting started with machine learning with Python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. You’ll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you’ll learn :
- The important concepts and real-world application of machine learning.
- Pros and cons of most popular machine learning algorithms
- The basics of Python
- Learn about data preprocessing, analysis, and visualization
- Preprocessing techniques to use in data
- Regression methods
- Recommendation engines
- And many more
If you’re ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.
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