Machine Learning: A Step-by-Step Guide from Beginners to Expert. Concepts and Techniques (Beginners, Intermediate & Advanced)
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You are reading this guide because you’re ready to learn about machine learning, artificial intelligence, and big data. Or maybe you want to consider having a career change or starting a career as a data scientist or machine learning scientist then this guide is for you. This guide is also for you if you are a business owner no matter the size of your organization and you want to start utilizing the power of Business Intelligence to improve sales and help improve the performance of your organization. This guide is very comprehensive, detailed and easy-to-understand and you will find in it how you can leverage the power of these rapidly expanding technologies that are shaping the world.
Or maybe you’re already using machine learning and want to take things to the next level?
Then this E-book has been prepared to guide you because this E-book will share the secrets and techniques most tech giants like Uber, Amazon, Facebook use to improve sales and how you can apply the same system and techniques to suit the needs of your organization.
In fact this is the most current and up-to-date E-book on machine learning, Big Data, Data Mining and Artificial Intelligence.
We’ve left no stone unturned.
In this guide, we will cover:
Introduction
What is Machine Learning
Theory
Approaches
Basic Concepts and Ideals of Machine Learning
Application
Principles and Effects of Machine Learning
Techniques of Supervised Learning
Techniques of Unsupervised Learning
Artificial Intelligence
Information Theory
Computational Science
Exploratory Data Analysis
Predictive Analytics
Business Intelligent
Analytics
Data Mining
Big Data
Practical Usage: Pattern Recognition
Regularization
Regression Analysis
Conclusion
Furthermore, you do not need any technical background or coding experience to read this guide.
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A clear and concise overview of Machine Learning. I always wondered how AI could determine so many of our wants and desires before we knew them ourselves. Turns out it’s all based on probability. Machine Learning: The Complete Beginnerâs Guide to learn and Understand Machine Learning, gives you insights into what machine learning entails and how it can impact the way you can weaponize data to gain incredible insights. Your information is pretty much as good as what you are doing with it and the…
I found the guidance clear and prescriptive. The instructions for accessing different language code were pertinent and relevant, allowing for ease of flow. I was initially discouraged by the use of Python as the programming language of choice, but I then found it to be relatively painless and well suited to the reader a modular view of how these machine learning algorithms work and the potential optimizations when eventually implementing them. Some of the examples required many vector and…
The book itself is a fairly quick read and can be tackled in an afternoon if it keeps your interest and the visual examples and clear instructions made the rest of the book a breeze to follow. Although it was easy to follow, I donât feel like I lost out on technical content an for a high-level introduction, it was concise and detailed and it was entertaining and highly educational and i especially appreciated the effort made by the author to walk a newbie through installation of a new…