Machine Learning using Python: The New AI: For Absolute Beginners

How to Use This Kindle Edition Book
This book is for data scientists, Machine Learning professionals, and researchers in academia who want to understand the nuances of machine learning approaches/algorithms in practice using R. The book will also benefit readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig, and Spark.
Career Opportunities in Machine Learning

It is natural to associate ‘big data,’ ‘artificial intelligence’ and ‘machine learning skills’ with success and a big pay packet. Six-figure incomes are relatively standard for data science professionals in places like the U.S and this is by no means the top bracket of industry talent.Given the speed at which artificial intelligence is taking over almost every industry, many more jobs are going to become redundant.

This book is by no means claiming that you have to learn data science to keep your job and that everyone needs to understand machine learning programming to have a job in the future. Data science programs and machine learning teams are ultimately just one contingent of business, government department or sporting club.

Table of Contents
1.Machine Learning World
2.What Is Machine Learning?
3.Machine Learning Techniques
4.Machine Learning Importance
5.Machine Learning, Statistics, and Data Analytics
6.Cognitive Computing
7.Machine Learning with sci-kit-learn and Visualization
8.Chatbots using Python
9.Machine Learning Techniques using Python
10.Natural Language Processing using Python
11.Azure Machine Learning Services
12. Convolutional Neural Networks
13. Recurrent Neural Networks
14.Career Opportunities in Machine Learning
15.Make Them Smart, Make Them Learn with Machine learning

What is Machine Learning?
Machine learning is a special type of AI. This is the ability of machines to learn and work on new problem dimensions without being explicitly programmed to do so. The programs are changed as they are exposed to new data and scenarios.

•Machine learning plays a very important role in the so-called industry revolution 4.0.
•This revolution is centered around IoT (Internet of Things) and cognitive computing.
•Machine learning has an important role to play here, as this becomes an essential subcomponent in this ecosystem.
•Google and lot of other companies are now even able to provide machine learning as a cloud service
 Machine learning has some similarity to data mining or pattern analysis. These activities help to search through data points to generate outcomes as outputs. So, the primary action for these functionalities is to analyze and understand data and then to use it to comprehend outcomes or outputs for users. Similarly, machine learning also keeps on understanding the data it comes in touch with while processing, but the result of such findings is not an outcome for the user but a continuous process of adjusting and updating the artificial intelligence program.

About the Author
Narendra Mohan Mittal is the Founder and Chairman of Thesis Scientist and he is working in the field of Data Science/big data/machine learning/deep learning space. He has more than 10 years in Research and Teaching and he is very active in the Big Data, Data Science and Machine learning.