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MACHINE LEARNING APPLICATIONS
There is a great deal of individualization involved in the process of learning for every one of us. The subject "Is Man a Machine?" was presented by Will Durant in his wellknown book, The Pleasures of Philosophy. In the study titled "Is Man a Machine?", Durant composed lines that are regarded to be masterpieces. These statements include: "Here is a youth; When you take into consideration the fact that it is striving to lift itself to a vertical dignity for the very first time, it is doing it with both fear and courage; why should it be so eager to stand and walk? In addition, why should it shake with an insatiable curiosity, with a hazardous and unquenchable ambition, with touching and tast...
FUNDAMENTALS OF MACHINE LEARNING TECHNIQUES
Machine learning is a subfield of computing science that evolved both from the knowledge obtained through the process of learning how to classify data based on that understanding and also from the understanding gained through the process of learning the computational-based concepts of Artificial Intelligence, or AI. Machine learning, also known as ML, is a common abbreviation for the field. To put it another way, machine learning is the process of training computers to learn on their own via their interactions with data without being explicitly taught to do so. This is accomplished through the use of artificial neural networks. Both humans and animals may claim to be the first to conceptuali...
PMI: Agile Certified Practitioner
Agile, a topic of growing importance in project management, is an iterative and incremental software developmental methodology that helps organizations to be more flexible to change and to deliver workable software in a shorter span of time. PMI-ACPSM is the new credential offered by the Project Management Institute, and validates a practitioner's ability to understand and apply agile principles and practices. PMI: Agile Certified Practitioner is a self-study guide that is essential reading for all PMI-ACPSM aspirants to clear the certification exam. Following an easy and a step-by-step learning approach, this book presents not only the basic agile concepts but also the latest developments in the field, based entirely on the guidelines from the Project Management Institute.
Understanding Machine Learning
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Machine Learning Solutions
Practical, hands-on solutions in Python to overcome any problem in Machine Learning Key Features Master the advanced concepts, methodologies, and use cases of machine learning Build ML applications for analytics, NLP and computer vision domains Solve the most common problems in building machine learning models Book Description Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build project...
Statistical Reinforcement Learning
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. The book provides a bridge between RL and data mining and machine learning research.
India's Doctrine Puzzle
The balance of power in South Asia is tenuous. Neighbouring states with nuclear arsenal pose a serious threat in times of conflict and the danger of escalation into a nuclear holocaust in South are ever-present. This book locates the change in India’s war doctrine at the turn of the century, following the Kargil War in 1999 between India and Pakistan. It examines how war policy was shaped by the threat posed by India’s neighbours and the need for greater strategic assertion. It also reveals that this change was forced by the military’s need to adapt itself to the nuclear age. Finally, it raises questions of whether the Limited War doctrine has made India more secure. An astute analysis of not only India’s military strategy but also of military doctrine in general, this book will be valuable to scholars and researchers of defence and strategic studies, international relations, peace and conflict studies, South Asia studies as well as government and military institutions.
Machine Learning in Action
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill neede...
Hands-On Machine Learning with ML.NET
Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core Key FeaturesGet well-versed with the ML.NET framework and its components and APIs using practical examplesLearn how to build, train, and evaluate popular machine learning algorithms with ML.NET offeringsExtend your existing machine learning models by integrating with TensorFlow and other librariesBook Description Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. Wit...
