Tensor - Machine Learning: The Definitive Guide
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Do you want to learn the progress made in the web marketing space andhow you can exploit it for your marketing strategies? Do you want to gain an edge over your businesss competitors? If you want to knowHow Machine Learning and Artificial Intelligence Technology can give your business a majorperformance boost, then keep reading.The Fourth Industrial Revolution is upon us, led by the Artificial Intelligence technology and setting the humankind for aglobal social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the Artificial Intelligence technology to increase your business performance efficiency.Learning to incorporate the Artificial Intelligence applications, Machine Learning, and Big Data Analytics in line with your companys domain can only give your business positive results.Machine Learning: The Definive Guideincludes 3 books:- Machine Learning for Beginners- Artificial Intelligence Business Applications- Artificial Intelligence and Machine Learning for BusinessOur aim with this book is to provide you a360 viewof the fundamentals and importance of Machine Learning and Artificial Intelligence Technology.You Will Learn:The Fundamentals of Artificial Intelligence and Machine Learning Applications, and Why are They so Important in the World Today.Gain an In-depth Understanding of 12 of the Most Popular Artificial Intelligence Tools in the Market, in an Easy to Understand and Colloquial Language.The Science of Big Data and How Companies are Increasingly Employing Good Analytical Tools to Makes Sense of an Estimated 1.7 MB of Data that will be Generated per Second per Person by 2020.What Different Types of Machine Learning Algorithms are and How They Work to Make Machines Able to Learn and Train themselves with Repeated Use.Even if you are abeginner, you will be armed to makesound personal and professional technological choices.Would You Like to Know More?Download Now to get access to Artificial Intelligence power.Scroll to the top of the page and selectBUY NOWbutton
Tensor: author's other books
Who wrote Machine Learning: The Definitive Guide? Find out the surname, the name of the author of the book and a list of all author's works by series.
Ankur Saxena (editor)
Marr Bernard
The Editors of TIME
![Jim Sterne [Jim Sterne] - Artificial Intelligence for Marketing](/uploads/posts/book/124040/thumbs/jim-sterne-jim-sterne-artificial-intelligence.jpg)
Jim Sterne [Jim Sterne]
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MACHINE LEARNING
The Definitive Guide
This Book Includes:
Machine Learning for Beginners
Artificial Intelligence Business Applications
Artificial Intelligence and Machine Learning for Business
By Oliver Tensor
Copyright 2019 by Oliver Tensor - All rights reserved.
This Book is provided with the sole purpose of providing relevant information on a specific topic for which every effort has been made to ensure that it is both accurate and reasonable. Nevertheless, by purchasing this Book, you consent to the fact that the author, as well as the publisher, are in no way experts on the topics contained herein, regardless of any claims as such that may be made within. As such, any suggestions or recommendations that are made within are done so purely for entertainment value. It is recommended that you always consult a professional prior to undertaking any of the advice or techniques discussed within.
This is a legally binding declaration that is considered valid and fair by both the Committee of Publishers Association and the American Bar Association and should be considered as legally binding within the United States.
The reproduction, transmission, and duplication of any of the content found herein, including any specific or extended information will be done as an illegal act regardless of the end form the information ultimately takes. This includes copied versions of the work physical, digital, and audio unless an expressed consent of the Publisher is provided beforehand. Any additional rights reserved.
Furthermore, the information that can be found within the pages described forthwith shall be considered both accurate and truthful when it comes to the recounting of facts. As such, any use, correct or incorrect, of the provided information will render the Publisher free of responsibility as to the actions taken outside of their direct purview. Regardless, there are zero scenarios where the original author or the Publisher can be deemed liable in any fashion for any damages or hardships that may result from any of the information discussed herein.
Additionally, the information in the following pages is intended only for informational purposes and should thus be thought of as universal. As befitting its nature, it is presented without assurance regarding its prolonged validity or interim quality. Trademarks that are mentioned are done without written consent and can in no way be considered an endorsement from the trademark holder.
Table of Contents
Book 1: Machine Learning for Beginners: The Beginners Guide to Understand Artificial Intelligence Business Applications and Machine Learning for Business. Includes Deep Learning and Data Science for Business
Introduction
Congratulations on downloading Machine Learning for Beginners and thank you for doing so. The following chapters will discuss several different concepts that apply to machine learning.
Some of the interesting concepts that you will learn about include:
- Fundamental concepts of machine learning
- How machine learning can help business
- Artificial Intelligence and its importance in todays society
- The technology behind AI and its rapid evolution
- Fundamental concepts of deep learning
- Fundamental concepts of data science
- Algorithms
- Data science in the real world
- Finally, at the end of each chapter, you will find important lists of terminology that are used in the field of machine learning
Not only will you learn these interesting concepts, but you will be introduced to a book packed full of interesting and useful information that is sure to spark the imagination.
As you read further into the book, you may feel drawn by the chapter covering Artificial Intelligence. The reason why is because of the ease of reading and understandability of it all.
This book provides great information to have when you are just getting your feet wet in the field. Not only that but it can be a great conversation starter among family and friends.
We realize that there are plenty of other books that cover this type of subject on the market, but the difference is that there is not a book available that is exactly like this one. So, thanks again for choosing this one!
Every effort was made to ensure it is full of as much detail and useful information as possible, please enjoy!
Chapter 1: What Is Machine Learning?
When you think about it, all machine learning really entails is the ability to teach an algorithm or computer program the best way to improve progressively on a given task. When it comes to research, all machine learning is best viewed at the level of mathematical and theoretical models when concerning the process. Nevertheless, it is more practical to think of it as a way to construct many applications that are able to utilize the improvement. There is more than one way that we can make this idea a reality, but mainly they are recognized in three categories. These categories are reinforcement learning, unsupervised learning, and supervised learning.
As we continue to saturate ourselves with machine learning and artificial intelligence, we also continue to become more and more zealous about technology. Because of this, we will need to stay abreast of the understanding required to identify the various machine learning types that we may come in contact with. For the beginner, this may mean they would have to understand the various machine learning types, as well as exhibiting it all in different applications used. As far as the application creators are concerned, they know that it is important that one should know the machine learning types for all the tasks that you may run into. That way you will be able to create a learning environment that is properly-suited for it and you can understand how it worked.
Supervised Machine Learning
The most well-known machine learning is supervised machine learning. It is also the easiest paradigm to be understood and simple to be implemented. It is so simple that it is usually compared to learning flashcards.
When talking about supervised machine learning, it is oftentimes described as being task-oriented. This is because it becomes very focused on one task, as it continuously feeds the algorithm with examples until the desired task is performed. This will be the exact type of learning you will probably come in contact with as you use these applications:
- Advertisement Popularity :
Advertisements that could have good performance are often selected as a task for supervised learning. A lot of the advertisements that are found online while browsing has been put there with the help of an algorithm which believed that it was popular. It is also, sometimes, due to an algorithm that is associated with a query search where finds could be a good match for the ad placement.
- Classification of Spam :
If you have ever sent or received an email, then you should be familiar with the spam folder. Your spam folder is a system of supervised learning. This system was fed with many email examples so that it would filter email that seems malicious so that no harassment occurs to the user. These can also learn a users preferences as the user adds new email tabs.
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