Introduction to Machine Learning (The Complete MBA CourseWork Series Book 10) free ebook download.

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Introduction to Machine Learning (The Complete MBA CourseWork Series Book 10) free ebook download

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Catalogue

Author(s):	Ibnalkadi, Hicham and Mohamed

Date:	2019	Format:	epub	Language:	English	ISBN/ASIN:	B08MDM8JY8
Pages:		OCR:		Quality:		ISBN13:
Uploader:	topron	Upload Date:	4/9/2021 1:07:15 AM

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1.One cannot imagine the future without understanding the treasure of Machine Learning. It is the science of making machines or computers act in unprecedented situations without being programmed. The primary aim of machine learning is to make independent decisions based on the available data through millions of calculations and analysis. It gets done through artificial intelligence or deep learning. These applications create a machine to learn patterns and infer the given information with the least human intervention.

2.The world has been flooded with data, accompanied by less expensive and more powerful processing. This combination is giving rise to the concept of machine learning, and there are innumerable benefits associated with this. Hence there is a race for data among multinationals across the world. But before we can completely comprehend the advantages of Machine Learning, it's necessary to know some basics. Like, how can we build computer systems that keep on improving with experience? Also, we need to know the fundamental laws that govern all learning processes.

3.This book will help you to discover the potentials of machine learning, not only to understand the future world better but also to grow your own business. As a student, you must equip yourself with the marvel of machine learning. As a business professional, it will impact your business in the coming years. This book makes a great effort in explaining everything comprehensively and clearly. Vividly enough, it introduces the concept, then explains types of machine learning, such as supervised, unsupervised, reinforcement, deep learning to advantages and disadvantages. Within these chapters, further explanation of everything is provided, in perfect sequences and details, with appropriate examples and illustrations, and makes it easy to understand.

4.This book follows the Core and Elective Courses of prestigious institutions, like Wharton and Harvard Business Schools. Best for those looking for a self-motivated study of the MBA course. The book is comprehensive yet detailed, unlike conventional courses which are quite lengthy and time-consuming. This book is a part of 'The Complete MBA Coursework Series'.

5.Machine Learning finds its place everywhere, from healthcare industries to government schemes and policies. Talking about the health sector, doctors can monitor their patients' health statistics on a real-time basis, through data generated by wearable devices, and so on.

6.Government officials are also extensively using the data to make policy predictions and adapt to rapidly changing scenarios and situations. It by and large hold importance in cybersecurity and logistics management. Apart from this, it has shown the revolutionary impact on Marketing and sales. It is a well-known fact that many companies have successfully implemented artificial intelligence, which has considerably increased their return and customer satisfaction. When it comes to E-commerce, it analyses your buying and search history and makes recommendations accordingly, based on your past habits.

7.According to experts, the future world will be driven by AI and machine learning. Businesses are racing up to capture the markets based on data. Hence, learning these concepts is becoming immensely popular among business students.
Today is the right opportunity to make yourself acquainted with all about machine learning and the related concepts, and for that, this book can be the right pick for you.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2991879	Book	https://nitroflare.com/view/C3AF6FDFB59F...		0.00	topron

Tags: Book Complete CourseWork Introduction Learning Machine

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