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Reinforcement Learning - Principles, Concepts and Applications
  • Language: en
  • Pages: 144

Reinforcement Learning - Principles, Concepts and Applications

Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.

Data Analytics and Learning
  • Language: en
  • Pages: 260

Data Analytics and Learning

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Deep Learning
  • Language: en
  • Pages: 158

Deep Learning

In a very short time, deep learning has become a widely useful technique, solving and automating problems in computer vision, robotics, healthcare, physics, biology, and beyond. One of the delightful things about deep learning is its relative simplicity. Powerful deep learning software has been built to make getting started fast and easy. In a few weeks, you can understand the basics and get comfortable with the techniques. This opens up a world of creativity. You start applying it to problems that have data at hand, and you feel wonderful seeing a machine solving problems for you. However, you slowly feel yourself getting closer to a giant barrier. You built a deep learning model, but it do...

Fundamental Theory of Computer Organization and Architecture
  • Language: en
  • Pages: 188

Fundamental Theory of Computer Organization and Architecture

This hand book is focusing the basic fundamental concepts of computer system organization and architecture in the trouble-free manner. It covers the structure and functionality of various computer system hardware's including CPU, Bus Systems, instruction, type of instructions, addressing modes, single bus CPU organization, Multiple bus CPU organization, hardwired control unit, micro programmed control unit, pipeline processor and its organization, data hazard, control hazard, structure hazard, exception handling, memory system, rom, ram, cache, secondary storage device and also extended to focus the concepts of direct memory access, bus interface circuits, standard I/O devices and processor....

Intelligent Sustainable Systems
  • Language: en
  • Pages: 821

Intelligent Sustainable Systems

This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Artificial Intelligence in Education Technologies: New Development and Innovative Practices
  • Language: en
  • Pages: 588
Mathematical Principles in Machine Learning
  • Language: en
  • Pages: 321

Mathematical Principles in Machine Learning

Machine learning, artificial intelligence (AI), and cognitive computing are dominating conversations about how emerging advanced analytics can provide businesses with a competitive advantage to the business. There is no debate that existing business leaders are facing new and unanticipated competitors. These businesses are looking at new strategies that can prepare them for the future. While a business can try different strategies, they all come back to a fundamental truth. If you’re curious about machine learning, this book is a wonderful way to immerse yourself in key concepts, terminology, and trends. We’ve curated a list of machine learning topics for beginners, from general overviews to those with focus areas, such as statistics, deep learning, and predictive analytics. With this book on your reading list, you’ll be able to: · Determine whether a career in machine learning is right for you · Learn what skills you’ll need as a machine learning engineer or data scientist · Knowledge that can help you find and prepare for job interviews · Stay on top of the latest trends in machine learning and artificial intelligence

Advances in Data-Driven Computing and Intelligent Systems
  • Language: en
  • Pages: 517

Advances in Data-Driven Computing and Intelligent Systems

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Selections from the Gospel of Sri Ramakrishna
  • Language: en
  • Pages: 207

Selections from the Gospel of Sri Ramakrishna

Ramakrishna experienced the truth of all religions, inspiring seekers of every creed. Now his “gospel” is made accessible to all readers. Ramakrishna is India’s greatest example of God-consciousness and mystical ecstasy in recent history. He became known to the world not merely as a saint but as a divine incarnation and a “supremely realized self.” His message has inspired millions of devotees for more than a century—and now his teachings are made accessible to many more. Introduces the fascinating world of the Indian mystic and the universal appeal of his message. Now, readers can explore this classic text without any prior knowledge of Hinduism. Selections from the original text and insightful yet unobtrusive facing-page commentary highlight the most important and inspirational teachings, including: How to see God and how to live in the world. Religious harmony. The dynamics of spiritual awakening. The spiritual power of the Feminine. Prayer and meditation.