000 | 02282nam a22002297a 4500 | ||
---|---|---|---|
020 | _a9789355516343 | ||
041 | _aENG | ||
082 |
_a006.31 _bTYA |
||
100 | _aTyagi, Amit Kumar. | ||
245 |
_a Advanced machine learning : _bfundamentals and algorithms / _cAmit Kumar Tyagi, Khushboo Tripathi, and Avinash Kumar Sharma |
||
250 | _a1st ed. | ||
260 |
_aNew Delhi : _bBPB Publications, _c2024. |
||
300 |
_axxv, 494 pages : _bIllustrations ; _c24 cm. |
||
504 | _aIncludes Index. | ||
505 | _aIntroduction to Machine Learning Statistical Analysis Linear Regression Logistic Regression Decision Trees Random Forest Rule-Based Classifiers Naïve Bayesian Classifier K-Nearest Neighbors Classifiers Support Vector Machine K-Means Clustering Dimensionality Reduction Association Rules Mining and FP Growth Reinforcement Learning Applications of ML Algorithms Applications of Deep Learning Advance Topics and Future Directions | ||
520 | _aOur book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms. | ||
650 | _aMachine Learning | ||
650 | _aInformation Technology | ||
700 | _aTripathi Khushboo. | ||
700 | _aSharma, Avinash Kumar. | ||
942 |
_2ddc _cBK |
||
999 |
_c23739 _d23739 |