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Simplified Machine Learning
Paperback
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- Book Synopsis
- "Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications. The first section introduces foundational concepts such as supervised and unsupervised learning, regression, classification, clustering, and feature engineering, providing a solid base in Machine Learning theory. The second section explores algorithms like decision trees, support vector machines, and neural networks, explaining their functions, strengths, and limitations, with a special focus on deep learning, reinforcement learning, and ensemble methods. The book also covers essential topics like model evaluation, hyperparameter tuning, and model interpretability. The final section transitions from theory to practice, equipping readers with hands-on experience in deploying models, building scalable systems, and understanding ethical considerations.
- About The Author
- Dr. Pooja Sharma, Assistant Professor, in Computer Science and Engineering has teaching and research experience of more than 17 years. She is a gold medalist in post-graduation and her other academic achievements include a fellowship for a regular PhD from UGC, New Delhi after qualifying UGC NET and JRF, several merit certificates, gold and silver medals in matric, higher secondary, undergraduate and postgraduate levels.
- Product Details
-
- ISBN
- 9789355516145
- Format
- Paperback
- Publisher
- BPB Publications, (15 June 2024)
- Number of Pages
- 266
- Weight
- 450 grams
- Language
- English
- Dimensions
- 190.5 x 240 x 15.2 mm
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