Introduction To Machine Learning


The last two decades have seen Machine Learning emerge as a critical component of information technology. As more and more information becomes accessible, it stands to reason that sophisticated data analysis will grow increasingly vital to the advancement of technology. From a high level of generalization, we may say that machine learns anytime it makes adjustments to its internal structure, software, or data (in reaction to or as a result of external information) that result in an improvement in performance. Some of these alterations, such adding a new record to a database, belong more appropriately in other fields and aren’t always better understood when labeled learning. Yet when, for instance, a voice-recognition system becomes better at its job after hearing several examples of a given person’s speech. This book aims to provide reader a bird’s-eye perspective of the wide variety of applications that boil down to a machine learning issue and to offer some semblance of organization to the otherwise chaotic landscape. Book will provide a collection of simple algorithms for addressing a significant challenge, namely, categorization. Later sections of the book will include more complex methods, elaborate analyses, and discussions of more broad topics.
Name of Author

Dr. R. Kavitha, Dr. R. Mythili, Dr. R. Deeptha, Mrs. B. Sathyabama

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