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Machine Learning Made Easy Using Python : For Absolute Beginners Guidebook to Supervised and Unsupervised Learning Using Different 'Algorithms' From Scikit-LearnНазвание: Machine Learning Made Easy Using Python : For Absolute Beginners Guidebook to Supervised and Unsupervised Learning Using Different 'Algorithms' From Scikit-Learn (Python Programming)
Автор: Rahul Mula
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 234
Язык: английский
Формат: pdf
Размер: 50.4 MB

This book is prepared especially for beginners (at Data Science and Machine Learning), but you should be familiar with programming in Python. We will work with packages and modules like NumPy, SciPy, Pandas, Matplotlib, Scikit Learn, etc. to perform analysis and other tasks. I kept this book open to the basic concepts of data science to help the beginners to understand everything but the book only covers data science concepts prior for machine learning, as the name suggests, the book is not for you if you're looking for data science, you check the other books page to find that. I also included advanced topics to not limit you to the basics. Machine learning, algorithms, data science, etc. moy seem tough end boring, but as you handle more end more data, you'll ploy with it!

Businesses & organizations are trying to deal with it by building intelligent systems using the concepts and methodologies from Data science, Data Mining and Machine learning. Among them, machine learning is the most exciting field of computer science. It would not be wrong if we call machine learning the application and science of algorithms that provides sense to the data.

Do you know all the automatic recommendations come when you type something while searching is a case of Machine Learning (ML). Isn't it magical? But nothing is, grab this book and:
- Get an insight of what machine learning is and not just that
- Learn how to train your own models using different algorithms like regressors, decision tress, classifiers, clustering algorithms and much more
- We will create models to predict the weight of people if height is known, decide which flavor is preferred by which people, predict whether it will rain or not, create a model to recommend movies to users, and much much more
- Everything may seem a bit hard for you like all those codes, functions, ALGORITHMS and all. But it's fine we will not jump right to them because we need to build a base first to take them head on! As mentioned this book is for beginners who started learning programming and have learned python programming
- Before training training machines you need to know how the algorithms work internally, because if you don't know what's going inside you are just SCRATCHING THE SURFACE
- The book is indeed about machine learning but DATA SCIENCE and MATHEMATICS important for the same are included too!

So if you are interested in learning how machines learn just preview the book and read out the first pages of the book to know what's going behind!

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Автор: Ingvar16 21-12-2020, 17:12 | Напечатать |
 
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