Practical Machine Learning book introduces machine learning concepts through a hands-on approach along with extensive discussions on every theoretical concept. The need of knowing machine learning is growing as the use of artificial intelligence (AI) and machine learning is becoming increasingly prevalent in a wide range of industries and applications. Machine learning is becoming an increasingly important subject in technical, management, applied science, and other fields of education, as it is transforming many industries, and having a significant impact on the way we live and work. In technical education, machine learning is often taught as a subfield of computer science, artificial intelligence, or statistics. In management education, machine learning is often taught as a tool for solving business problems, and students learn how to use machine learning models to make decisions, improve customer experiences, and increase efficiency. This can include data analysis, predictive modeling, and data science courses. The integration of machine learning into technical, management, and other fields of education is helping to prepare the next generation of professionals for a rapidly changing job market and is enabling students to develop the skills and knowledge necessary to leverage this powerful technology to drive innovation and create a positive impact. This book facilitates students to learn about the basics of machine learning and advanced topics of machine learning in an easy way without any coding or programming using free and open source software JASP.
This book helps the reader to explore various machine learning techniques without writing the codes. The book also provides detailed explanations about various processes, sub-processes, terminologies, and other knowledge areas related to machine learning.