Machine Learning for Beginners: Learn How Artificial Intelligence, Data Science, and Neural Networks Work through Real Examples and further knowledge in statistics and programming
- Length: 107 pages
- Edition: 1
- Language: English
- Publication Date: 2021-08-30
- ISBN-10: B09F3JTRC1
- Sales Rank: #0 (See Top 100 Books)
MACHINE LEARNING FOR BEGINNERS
Learn How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples and further knowledge in statistics and programming
Machine learning is an incredible technology which we’re only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it’s not too late to start!
This guide breaks down the fundamentals of machine learning in a way that anyone can understand. Concerning the different kinds of machine learning models, neural networks, and the way these models learn data, you’ll find everything you need to know to get started with machine learning in a concise, easy-to-understand way.
Here’s what you’ll discover inside:
- What is Artificial Intelligence Really, and Why is it So Powerful?
- Choosing the Right Kind of Machine Learning Model for You
- An Introduction to Statistics
- Supervised and Unsupervised Learning
- The Power of Neural Networks
- Reinforcement Learning and Ensemble Modeling
- “Random Forests” and Decision Trees
- Must-Have Programming Tools
- And Much More
Download Your Copy Now…
Introduction The Purpose Of This Book What Is Artificial Intelligence? How Is Machine Learning Used? Recent Advancements In Data Analysis Introduction To Statistics Choosing The Right Kind Of Model For Machine Learning Supervised Learning Classifications Unsupervised Learning Neural Networks Reinforcement Learning Ensemble Modeling Things You Must Know For Machine Learning Programming Tools Developing Models Conclusion
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