000			02091nam a22002057a 4500
020			_a9789355516145
041			_aENG
082			_a006.31 _bSHA
100			_aSharma, Pooja.
245			_aSimplified machine learning : _bthe essential building blocks for machine learning expertise / _cPooja Sharma.
250			_a1st ed.
260			_aNew Delhi : _bBPB Publications, _c2024.
300			_axvi, 250 pages : _bIllustrations ; _c23 cm.
504			_aIncludes Index.
505			_a1. Introduction to Machine Learning 2. Data Pre-processing 3. Supervised Learning: Regression 4. Supervised Learning: Classification 5. Unsupervised Learning: Clustering 6. Dimensionality Reduction and Feature Selection 7. Association Rule Mining 8. Artificial Neural Network 9. Reinforcement Learning 10. Project Appendix Bibliography
520			_a"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. By the end, readers will be able to leverage Machine Learning effectively in their respective fields, armed with practical skills and a strategic approach to problem-solving.
650			_a Computing & information technology
650			_aMachine Learning
942			_2ddc _cBK
999			_c23737 _d23737