SYED MUZAMIL BASHA's Books

Reinforcement Learning - Principles, Concepts and Applications

By: Bhavatarini N,Syed Thouheed Ahmed,Syed Muzamil Basha

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Reinforcement Learning - Principles, Concepts and Applications

By: Bhavatarini N,Syed Thouheed Ahmed,Syed Muzamil Basha

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.

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144

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MileStone Research Publications

Published Date

ISBN 10

9360130087

ISBN 13

9789360130084

Deep Learning

Practical approach

By: Bhavatarini N,Syed Muzamil Basha,Syed Thouheed Ahmed

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Deep Learning

Practical approach

By: Bhavatarini N,Syed Muzamil Basha,Syed Thouheed Ahmed

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 doesn’t work as well as you had hoped. This is when you enter the next stage, finding and reading state-of-the-art research on deep learning. However, there’s a voluminous body of knowledge on deep learning, with three decades of theory, techniques, and tooling behind it. As you read through some of this research, you realize that humans can explain simple things in really complicated ways. Scientists use words and mathematical notation in these papers that appear foreign, and no textbook or blog post seems to cover the necessary background that you need in accessible ways. Engineers and programmers assume you know how GPUs work and have knowledge about obscure tools.

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158

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MileStone Research Publications

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ISBN 10

9355781962

ISBN 13

9789355781963

Big Data Analytics and Cloud Computing

A Beginner's Guide

By: Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil

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Big Data Analytics and Cloud Computing

A Beginner's Guide

By: Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil

Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment

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101

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MileStone Research Publications

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ISBN 10

9354738281

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9789354738289

Artificial Intelligence: Practical Approach

By: Syed Muzamil Basha,Syed Thouheed Ahmed,Santhosh Kumar M Naidu

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Artificial Intelligence: Practical Approach

By: Syed Muzamil Basha,Syed Thouheed Ahmed,Santhosh Kumar M Naidu

The book introduces programming concepts through Python language. The simple syntax of Python makes it an ideal choice for learning programming. Because of the availability of extensive standard libraries and third-party support, it is rapidly evolving as the preferred programming language among the application developers. It will bolster your foundational skills in Artificial Intelligence. Make the most of our Expert Mentor-ship facility and gain a practical understanding of Artificial Intelligence and Machine Learning. Make the most of our real-world projects from diverse industries. The content in this book goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Artificial Intelligence and Machine Learning. The steps in creating computers that are as fluent in human language as people has long been a goal for scientists and the general public. Human language communication both represents and challenges an intelligence, because while languages appear to follow some unseen rules of spelling and grammar. Systems that understand or use language, which we call ?Natural Language Processing? (NLP) systems, have been created by specifying algorithms for computers based on the observable regularities of language noted by experts.Use this book to learn the principles and methods of NLP to understand what it is, where it is useful, how to use it, and how it might be used people. The book includes the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modeling, and higher level tasks and applications that analyze or generate language, using both rule-based search and machine learning approaches. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes some history and trends that are important for understanding why things have been done in a certain way

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183

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MileStone Research Publications

Published Date

ISBN 10

9355660634

ISBN 13

9789355660633

PATTERN RECOGNITION

AN INTRODUCTION

By: Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Mallikarjun M Kodabagi

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PATTERN RECOGNITION

AN INTRODUCTION

By: Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Mallikarjun M Kodabagi

This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part, the initial foundation aspects of pattern recognition is discussed with reference to probabilities role in influencing a pattern occurrence, pattern extraction and properties. Introduction: Definition of Pattern Recognition, Applications, Datasets for Pattern Recognition, Different paradigms for Pattern Recognition, Introduction to probability, events, random variables, Joint distributions and densities, moments. Estimation minimum risk estimators, problems. Representation: Data structures for Pattern Recognition, Representation of clusters, proximity measures, size of patterns, Abstraction of Data set, Feature extraction, Feature selection, Evaluation. Par t - II In Part - II of the text, the mathematical representation and computation algorithms for extracting and evaluating patterns are discussed. The basic algorithms of machine learning classifiers with Nearest neighbor and Naive Bayes is reported with value added validation process using decision trees. Computational Algorithms: Nearest neighbor algorithm, variants of NN algorithms, use of NN for transaction databases, efficient algorithms, Data reduction, prototype selection, Bayes theorem, minimum error rate classifier, estimation of probabilities, estimation of probabilities, comparison with NNC, Naive Bayesclassifier, Bayesian belief network. Decision Trees: Introduction, Decision Tree for Pattern Recognition, Construction of Decision Tree, Splittingat the nodes, Over-fitting& Pruning, Examples.

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156

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MileStone Research Publications

Published Date

ISBN 10

9354931375

ISBN 13

9789354931376

Real Time Systems

Challenges and Applications

By: Syed Muzamil Basha,Syed Thouheed Ahmed,Kumar Raja D R

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Real Time Systems

Challenges and Applications

By: Syed Muzamil Basha,Syed Thouheed Ahmed,Kumar Raja D R

Real-time systems are computer systems that are designed to respond to external events within a specified time constraint. These systems are used in a variety of applications, including control systems, communication systems, multimedia systems, and embedded systems. Real-time systems must be able to respond to events in a timely and deterministic manner, meaning that the response time must be guaranteed and consistent. One of the main challenges in designing real-time systems is ensuring that they are predictable and reliable. Real-time systems must be able to handle a wide range of input conditions, from normal operation to extreme conditions, without crashing or failing to meet their deadlines. This requires careful design and implementation, as well as testing and verification to ensure that the system behaves as intended. Real-time systems often have unique requirements that differ from those of traditional computer systems. For example, real-time systems may need to operate in harsh environments, such as extreme temperatures or high radiation levels. They may also need to communicate with other systems in real-time, which requires low-latency communication protocols and high bandwidth. In addition to these technical challenges, there are also legal and ethical considerations when designing real-time systems. For example, systems used in safety-critical applications, such as medical devices or transportation systems, must meet strict regulatory requirements and undergo rigorous testing and certification processes. Overall, the design and implementation of real-time systems is a complex and challenging task that requires a deep understanding of the system's requirements, its environment, and the technologies available. In this textbook, we will explore the key concepts, principles, and techniques used in the design and analysis of real-time systems. We will cover topics such as scheduling, synchronization, communication, fault-tolerance, and performance analysis, and provide examples and case studies to illustrate these concepts. By the end of this book, readers will have a solid understanding of real-time systems and the skills needed to design and implement them effectively.

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113

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MileStone Research Publications

Published Date

ISBN 10

9358134267

ISBN 13

9789358134261

Deep Learning

Practical approach

By: Bhavatarini N,Syed Muzamil Basha,Syed Thouheed Ahmed

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Deep Learning

Practical approach

By: Bhavatarini N,Syed Muzamil Basha,Syed Thouheed Ahmed

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158

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MileStone Research Publications

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ISBN 10

9355781962

ISBN 13

9789355781963

Analog Electronic Circuits

Principles and Fundamentals

By: Kumar Raja D R,Syed Thouheed Ahmed,Syed Muzamil Basha

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Analog Electronic Circuits

Principles and Fundamentals

By: Kumar Raja D R,Syed Thouheed Ahmed,Syed Muzamil Basha

This book is an introductory textbook on Analog Electronics and circuits for undergraduate, Post graduate and beginner students. It aims at exploring the basic electronic devices such as clippers, clampers, oscillators, and Operational Amplifiers. It also explores the applications of clipper circuits in relevant places to inculcate interest among readers. It is probably no longer possible to cover everything in a single semester. Because of this, we have structured the book so that readers can find easy to understand the basic electronic circuits.

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141

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MileStone Research Publications

Published Date

ISBN 10

9356361789

ISBN 13

9789356361782

Natural Language Processing: Practical Approach

By: Syed Muzamil Basha,Afifa Salsabil Fathima

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Natural Language Processing: Practical Approach

By: Syed Muzamil Basha,Afifa Salsabil Fathima

The "Natural Language Processing Practical Approach" is a textbook that provides a practical introduction to the field of Natural Language Processing (NLP). The goal of the textbook is to provide a hands-on, practical guide to NLP, with a focus on real-world applications and use cases. The textbook covers a range of NLP topics, including text preprocessing, sentiment analysis, named entity recognition, text classification, and more. The textbook emphasizes the use of algorithms and models to solve NLP problems and provides practical examples and code snippets in various programming languages, including Python. The textbook is designed for students, researchers, and practitioners in NLP who want to gain a deeper understanding of the field and build their own NLP projects. The current state of NLP is rapidly evolving with advancements in machine learning and deep learning techniques. The field has seen a significant increase in research and development efforts in recent years, leading to improved performance and new applications in areas such as sentiment analysis, text classification, language translation, and named entity recognition. The future prospects of NLP are bright, with continued development in areas such as reinforcement learning, transfer learning, and unsupervised learning, which are expected to further improve the performance of NLP models. Additionally, increasing amounts of text data available through the internet and growing demand for human-like conversational interfaces in areas such as customer service and virtual assistants will likely drive further advancements in NLP. The benefits of a hands-on, practical approach to natural language processing include: 1. Improved understanding: Practical approaches allow students to experience the concepts and techniques in action, helping them to better understand how NLP works. 2. Increased motivation: Hands-on approaches to learning can increase student engagement and motivation, making the learning process more enjoyable and effective. 3. Hands-on experience: By working with real data and implementing NLP techniques, students gain hands-on experience in applying NLP techniques to real-world problems. 4. Improved problem-solving skills: Practical approaches help students to develop problem-solving skills by working through real-world problems and challenges. 5. Better retention: When students have hands-on experience with NLP techniques, they are more likely to retain the information and be able to apply it in the future. A comprehensive understanding of NLP would include knowledge of its various tasks, techniques, algorithms, challenges, and applications. It also involves understanding the basics of computational linguistics, natural language understanding, and text representation methods such as tokenization, stemming, and lemmatization. Moreover, hands-on experience with NLP tools and libraries like NLTK, Spacy, and PyTorch would also enhance one's understanding of NLP.

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103

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MileStone Research Publications

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ISBN 10

9358109254

ISBN 13

9789358109252

Advanced Machine Learning using Python Programming

By: SOHARA BANU A R,SYED MUZAMIL BASHA,SYED THOUHEED AHMED

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Advanced Machine Learning using Python Programming

By: SOHARA BANU A R,SYED MUZAMIL BASHA,SYED THOUHEED AHMED

THE AUTHOR(S) AND PUBLISHER OF THIS BOOK HAVE USED THEIR BEST EFFORTS IN PREPARING THIS BOOK. THESE EFFORTS INCLUDE THE DEVELOPMENT, RESEARCH ANDTESTING OF THE THEORIES AND PROGRAMS TO DETERMINE THEIR EFFECTIVENESS. THE AUTHORS AND PUBLISHER MAKES NO WARRANTY OF ANY KIND, EXPRESSED OR IMPLIEDWITH REGARD TO THESE PROGRAMS OR THE DOCUMENTATION CONTAINED IN THIS BOOK. THE AUTHORS AND PUBLISHER SHALL NOT BE LIABLE IN ANY EVENT FORINCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH, OR ARISING OUT OF, THE FURNISHING, PERFORMANCE, OR USE OF THESE PROGRAMS. COPYRIGHTS © 2023 BY MILESTONE RESEARCH PUBLICATIONS, INC. THIS EDITION IS PUBLISHED BY ARRANGEMENT WITH MILESTONE RESEARCH FOUNDATION, INC. THIS BOOK IS SOLD SUBJECT TO THE CONDITION THAT IT SHALL NOT, BY WAY OF TRADE OR OTHERWISE, BE LENT, RESOLD, HIRED OUT, OR OTHERWISE CIRCULATED WITHOUTTHE PUBLISHER'S PRIOR WRITTEN CONSENT IN ANY FORM OF BINDING OR COVER OTHER THAN THAT IN WHICH IT IS PUBLISHED AND WITHOUT A SIMILAR CONDITIONINCLUDING THIS CONDITION BEING IMPOSED ON THE SUBSEQUENT PURCHASER AND WITHOUT LIMITING THE RIGHTS UNDER COPYRIGHT RESERVED ABOVE, NO PART OF THISPUBLICATION MAY BE REPRODUCED, STORED IN OR INTRODUCED INTO RETRIEVAL SYSTEM, OR TRANSMITTED IN ANY FORM OR BY ANY MEANS (ELECTRONIC, MECHANICAL,PHOTOCOPYING, RECORDING AND OTHERWISE) WITHOUT THE PRIOR WRITTEN PERMISSION OF BOTH THE COPYRIGHT OWNER AND THE ABOVE MENTIONED PUBLISHER OFTHIS BOOK.

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101

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MileStone Research Publications

Published Date

ISBN 10

9359149780

ISBN 13

9789359149783

Mathematical Principles in Machine Learning

By: Syed Thouheed Ahmed,Syed Muzamil Basha

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Mathematical Principles in Machine Learning

By: Syed Thouheed Ahmed,Syed Muzamil Basha

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

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Solve jigsaw puzzle

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Page Count

321

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MileStone Research Publications

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ISBN 10

9357774548

ISBN 13

9789357774543

Book's by SYED MUZAMIL BASHA

Reinforcement Learning - Principles, Concepts and Applications

Reinforcement Learning - Principles, Concepts and Applications

Deep Learning

Deep Learning

Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing

Artificial Intelligence: Practical Approach

Artificial Intelligence: Practical Approach

PATTERN RECOGNITION

PATTERN RECOGNITION

Real Time Systems

Real Time Systems

Deep Learning

Deep Learning

Analog Electronic Circuits

Analog Electronic Circuits

Natural Language Processing: Practical Approach

Natural Language Processing: Practical Approach

Advanced Machine Learning using Python Programming

Advanced Machine Learning using Python Programming

Mathematical Principles in Machine Learning

Mathematical Principles in Machine Learning

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