Machine Learning Explained – Real Case Studies for Real Businesses

Solve different business-related challenges and monetize your data by leveraging the power of Machine Learning About This Book * Get the real stories of machine learning implementation from our industry experts; * Learn, explore, and evaluate various machine learning implementations with the help of rich case studies; * Look at machine learning from a business perspective and understand the benefits of machine learning for monetization. Who This Book Is ForThis book is intended for CEOs, CTOs, project leads, or anyone who wishes to understand how machine learning is implemented by different organizations, the impact it has, and how one can implement it for their customized business needs. What You Will Learn * Impact of machine learning on various industries like, Healthcare, Insurance, Cyber-Security etc. * Evaluate if your organization needs machine learning, and how can it be optimally implemented. * Various problems in different domains in the industry and how machine learning solved them * Implementing machine learning in an existing system, support for developing these systems, developer quality, training requirements, and more. * Understand the application of machine learning techniques across multiple industries and verticals * Requirements for implementing machine learning- infrastructure, systems, developers, machine learning experts, and more. In DetailWith the flow of information from varied sources such as internet, devices, social media etc. everyone wants to implement machine learning algorithms for practical problems faced. Machine learning techniques and its application in multiple areas have emerged as one of the biggest game changers in industry. The companies are experimenting to exploit the power of machine learning. This book will take you through an eventful journey in machine learning. You will know how companies implemented machine learning to monetize their data, and how they successfully implemented it to bring out revolutionary uptake in their revenues. The book shall help companies of large and small scale to exploit the power of machine learning and understand the impact. Each of the topics mentioned in the book will help you understand and appreciate the value of machine learning techniques and its implementation. The case studies discussed will take you into the journey machine learning techniques. You will be made aware of new developments in the field of machine learning. This book is filled with examples for solving real life problems which are encountered in order to make your applications produce improved results. You will be equipped with the practical challenges faced in the field of machine learning. You shall gain hands on experience of problem solving. The topics covered have been carefully selected after a comprehensive research. By the end of this book, you will understand the latest development taking place in varied fields and industries with machine learning techniques. This shall help you develop the cutting edge knowledge.

About the Author :
Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.