Fun with Machine Learning

“Fun with Machine Learning” is an essential guide for anyone looking to learn about machine learning and how it can be used to make informed business decisions.

The book covers the basics of machine learning, providing an overview of key concepts and terminology. To fully understand machine learning, it is important to have a basic understanding of statistics and mathematics. The book provides a simple introduction to these topics, making it easy for you to understand the core concepts. One of the key features of the book is its focus on AutoML tools. It introduces you to different AutoML tools and explains how to use them to simplify the data science processes. The book also shows how machine learning can be used to solve real-world business problems, such as predicting customer churn, detecting fraud, and optimizing marketing campaigns.

By the end of the book, you will be able to transform raw data into actionable insights with machine learning.

KEY FEATURES

* Get familiar with the common machine learning problems and understand how to solve them.
* Understand the importance of different types of data and how to work with them effectively.
* Learn how to use machine learning and AutoML tools to solve real-world problems.

WHAT YOU WILL LEARN

* Get a clear understanding of what machine learning is and how it works.
* Learn how to perform regression analysis using Orange.
* Understand how to implement classification In machine learning.
* Get to know more about the clustering and association algorithms.
* Analyze, visualize, manipulate, and forecast time series data with Orange.

WHO THIS BOOK IS FOR

This book is for Machine Learning engineers, Machine Learning enthusiasts, Data Scientists, beginners, and students who are looking to implement machine learning techniques to solve real-life business problems. It is also a great resource for business leaders who are responsible for making data-driven decisions.

1. Significance of Machine Learning in Today’s Business
2. Know Your Data
3. Up and Running With Analytical Tools
4. Machine Learning in a Nutshell
5. Regression Analysis
6. Classification
7. Clustering and Association
8. Time Series Forecasting
9. Image Analysis
10. Tips and Tricks

Arockia Liborious stands out as a celebrated leader in analytics, having amassed over a dozen accolades for his work in machine learning over the past 12 years. He is a seasoned professional who has conceptualized and implemented machine learning solutions for businesses across different domains. His expertise includes computer vision and natural language processing, which enables him to provide insights into emerging technologies and their impact on businesses. Arockia has a unique blend of technical and business expertise, which allows him to evaluate the long-term return on investment (eROI) of machine learning solutions, as well as their strategic positioning within the market. He has successfully led several initiatives to develop innovative service and product strategies that leverage machine learning to solve complex business problems.

Throughout his career, Arockia has worked with clients in diverse industries, including Manufacturing, Fintech, Banking, Food and Beverage, and large Energy clients. His experience has equipped him with the ability to understand and cater to the unique needs of each industry, enabling him to deliver custom-tailored solutions that drive business results. Apart from his work in machine learning, Arockia is also an expert in data analytics, predictive modeling, feature engineering, and data visualization. He is passionate about using data to drive informed decision-making and believes that businesses that leverage the power of data will be the ones that succeed in today’s competitive market. Arockia holds a master’s degree in data science and is a sought-after speaker at industry events and conferences. He has received numerous awards throughout his career, recognizing his contributions to the field of analytics.

Dr. Rik Das is a Lead Software Engineer (Artificial Intelligence Unit) at Siemens Technology and Services Pvt. Ltd. (Siemens Advanta), Bengaluru. He is a thought leader with over 18 years of experience in Industrial and Academic Research. Rik has been a seasoned academician before joining the corporate and has served as a Professor in multiple prestigious Universities, Institutions and EduTechs of the country.

Dr. Das is conferred with the title of ACM Distinguished Speaker by the Association for Computing Machinery (ACM), New York, USA. He is also a Member of International Advisory Committee of AI-Forum, UK. Dr. Das is a Ph.D. (Tech.) in Information Technology from University of Calcutta. He has also received his M.Tech. (Information Technology) from University of Calcutta after his B.E. (Information Technology) from University of Burdwan. As an innovation leader, Rik has carried out collaborative research in multiple domains. He has filed and published two Indian patents consecutively during the year 2018 and 2019 and has over 80 International publications till date with reputed publishers He has published 10 books on applications of AI/ML and Computer Vision. He has also chaired multiple sessions in International Conferences on Machine Learning and has acted as a resource person / invited speaker in multiple events and refresher courses on Information Technology. Dr. Rik Das is recipient of multiple prestigious awards due to his significant contributions in the domain of Technology Consulting, Research Innovations and Academic Excellence. He is awarded with Warner von Siemens Country Award 2021 followed by Divergent category award 2022 consecutively during his current employment at Siemens Advanta. He has received “Best Innovation Award” in Computer Science category at UILA Awards 2021. He was featured in uLektz Wall of Fame as one of the “Top 50 Tech Savvy Academicians in Higher Education across India” for the year 2019. His keen interest towards application of machine learning and deep learning techniques for real life use case solutions has resulted in joint publications of research articles with Professors and Researchers from various reputed Multinationals brands namely Philips-Canada, Cognizant Technology Solutions, TCS, etc. and International Universities including College of Medicine, University of Saskatchewan, Canada, Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czechia, Cairo University, Giza, Egypt and so on. Dr. Rik Das is always open to discuss new research project ideas for collaborative work and for techno-managerial consultancies.