Introduction:- Machine Learning is a branch of artificial intelligence that helps computers learn without being explicitly programmed. It involves using computers to make predictions, which are then tested and evaluated by human beings.
Machine learning can be used in many real-world applications, such as medical diagnosis, image recognition and text translation. As a result, machine learning is becoming an important part of our daily lives.
In This E-Book we learn about these kinds of topics
1. Why Machine Learning Strategy
Machine Learning free e-book is designed to help you learn about the different types of Machine Learning, their importance and use cases. Learn about tradeoffs between supervised and unsupervised learning, how machine learning works, explain how ML algorithms are built, and share your insights on implementing ML techniques in real life projects.
2. How to use this book to help your team
Use this book to help you jumpstart your machine learning career. Learn how to start a machine learning project by reading, building, and evaluating solutions in just a few hours. This is the perfect guide for anyone interested in applying machine learning to their organization, whether as a beginner or advanced practitioner.
3. Prerequisites and Notation
In this free e-book, you will find the basic knowledge that you will need to understand artificial intelligence. You will also go through the math and programming necessary for building a program that can learn from images and other data sets.
4. Scale drives machine learning progress
This ebook shows how to scale your machine learning efforts, from starting with a small team to distributing your work across many systems. In the process it describes techniques that make machine learning more practical, less error-prone, and faster; explains how to manage large models effectively; describes best practices for reproducibility; and lays out a roadmap for moving forward.
5. Your development and test sets
This book contains:1. A presentation of the different types of problems that can be solved using machine learning.2. Quick and easy to read tutorials on how to build a model for your specific business types, including classification, regression, decision trees and neural networks.3. Over 100 pictures so you can follow along easily with your code.
Conclusion
Machine learning can help you automate tasks that would be difficult or impossible to do by hand.
Machine Learning is a hot topic right now.
To get started with machine learning, you need some code
You can use this free e-book to learn about common algorithms for machine learning and data science.
2 Comments
Thanks buddy nice content
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