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INNOVATIONS IN MACHINE LEARNING

Pencil Bitz Publishing

DATA SCIENCE WITH MACHINE LEARNING CONCEPTS, APPLICATIONS AND CHALLENGES

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Lead Editor

Dr. Syed Hassan Imam Gardezi

Associate Editor-1

Dr. P. Anandavalli

Associate Editor-2

Dr. Shilpa Ravindra Muley

Associate Editor-3

Mrs. K. Sangeetha

About This Book

Data Science with Machine Learning: Concepts, Applications and Challenges explores how data science integrates statistical analysis, machine learning algorithms and computational tools to extract meaningful insights from data. It covers supervised and unsupervised learning, data preprocessing, model evaluation and deployment. The book highlights applications in healthcare, finance, business and IoT. It also discusses challenges such as data quality, privacy, algorithmic bias, scalability and the need for ethical, transparent and responsible AI systems.

Book Specifications

Release Date

December 2025

Features

77 Pages, B&W/Color

ISBN

978-93-89911-90-9

Book Details

Table of Contents: Innovations in Machine Learning: Techniques and Trends

1. Fundamentals of Data Science: Concepts and Foundations Page 01

Authors: Dr. Sivakumar Dhandapani, Dr Jothimani Ponnusamy, Mr Arunkumar Palanichamy

2. Introduction to Machine Learning Algorithms Page 08

Authors: Mrs. E. Ajitha

3. Classification Models and Real-World Applications Page 15

Authors:Kalpana Chittor S

4. Neural Networks and Deep Learning Basics Page 22

Authors:J. Rathanaa Ranjeni

5. Convolutional Neural Networks (CNN) for Image Data Page 30

Authors:Mrs. R. Deepa, Mrs. K. Saroja, Mrs. P. Ranjani, Mr. K. N. Sivakumar

6. Natural Language Processing with Machine Learning Page 38

Authors:A. Saranya

7. Machine Learning in Healthcare Applications Page 45

Authors:Dr. V. Priya, N. M. K. Ramalingamsakthivelan, Ragunathan R

8. Ethics, Fairness, and Bias in Data Science Page 52

Authors: Urmila Burde, Sandhya Shahaji Chavan

9. Future Trends: Explainable AI & AutoML Page 59

Authors:Anik Acharjee

10. Ensemble Learning: Bagging, Boosting, and Random Forests Page 65

Authors:Nageswara Rao Putta, P Nirupama, R Yamuna, Gudivada Lokesh