Introduction to Machine Learning Algorithm
Creators
- 1. Professor & Principal in the Computer Science & Engineering Department at PERI Institute of Technology, Chennai, Tamil Nadu
- 2. Assistant Professor in the Department of Applied Electronics, at SGB Amravati University Amravati, Maharashtra state of India
- 3. Dean/Academics and Professor in Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore
- 4. Deputy Director of the Indian Institute of Banking and Finance
- 5. Associate Professor and Head of the Department of Computer Science and Engineering, Aditya Engineering College, Surampalem, AP
Contributors
- 1. Professor & Principal in the Computer Science & Engineering Department at PERI Institute of Technology, Chennai, Tamil Nadu
- 2. Assistant Professor in the Department of Applied Electronics, at SGB Amravati University Amravati, Maharashtra state of India.
- 3. Dean/Academics and Professor in Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore
- 4. Deputy Director of the Indian Institute of Banking and Finance
- 5. Associate Professor and Head of the Department of Computer Science and Engineering, Aditya Engineering College, Surampalem, AP.
Description
Welcome to the "Introduction to Machine Learning Algorithms." Machine learning is now a major factor in today's data-driven world. Behind technological breakthroughs, impacting everything from our interactions with common devices to how businesses make decisions. Whether you are a beginner keen to learn about the basics of machine learning or an experienced practitioner looking to improve your skills, this guide is your indispensable travel companion. Machine learning is more than just a catchphrase; it's a revolutionary field with the power to solve challenging issues and completely change industries. But given the quick speed of innovation, navigating its complex terrain can be frightening. This book serves as your guide, providing explanations and insights into the fundamental ideas, working methods, and real-world uses of machine learning. You will embark on a thorough investigation throughout this guide, starting with the fundamental ideas that underlie machine learning. From there, we explore the inner workings of a variety of algorithms, from state-of-the-art approaches like neural networks and deep learning to more conventional strategies like regression and decision trees. Case studies and real-world examples highlight the useful elements and show how Machine learning is used in many different fields. You'll also learn about the moral issues surrounding this potent technology as you go. Large computational power entails a duty to handle bias, fairness, and transparency concerns, all of which are essential for moral and just machine learning applications. We not only offer a strong foundation and useful knowledge, but we also anticipate developments in machine learning. The discipline is always changing, so keeping up with the newest developments and cutting-edge technologies is crucial for anyone hoping to stay on the cutting edge of this exciting field. Whether you work as a student, data scientist, engineer, or business leader, our mission is to equip you with the knowledge and skills required to realize the full potential of machine learning. We extend an invitation to you to embrace the excitement of learning, engage in practical exercises, and approach each chapter with curiosity. Welcome to the world of machine learning, where the potential is endless and data-driven creativity knows no limits. Only constrained by your creativity.
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Additional details
Dates
- Accepted
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2023-12-21