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Objective mathematics volume 2

Objective mathematics volume 2

₹700 ₹845
17% off

1. "Complete Study Pack for Engineering Entrances" series provides Objective Study Guides 2. Objective Mathematics Volume-2 is prepared in accordance with NCERT Class 11th syllabus 3. Guide is divided into 16 chapters 4. complete text materials, Practice Exercises and workbook exercises with each theory 5. Includes more than 5000 MCQs, collection of Previous Years’ Solved Papers of JEE Main and Advanced, BITSAT, Kerala CEE, KCET, AP & TS EAMCET, VIT, and MHT CET. Our Objective series for Engineering Entrances has been designed in accordance with the latest 2021-2022 NCERT syllabus; Objective Mathematics Volume –2 is divided into 16 chapters giving Complete Text Material along with Practice Exercises and Workbook exercises. Chapter Theories are coupled with well illustrated examples helping students to learn the basics of Mathematics. Housed with more than 5000 MCQs and brilliant collection of Previous Years’ Solved Papers of JEE Main and Advanced BITSAT, Kerala CEE, KCET, AP & TS EAMCET, VIT, and MHT CET, which is the most defining part of this book. Delivering the invaluable pool of study resources for different engineering exams at one place, this is no doubt, an excellent book to maximize your chances to get qualified at engineering entrances. TOC Matrix, Determinants, Relations & Functions, Inverse Trigonometry Functions, Continuity & Differentiability, Differentiation, Application of Derivatives, Maxima & Minima, Indefinite Integrals, Definite Integrals, Area Bounded by Curves, Differential Equations, Vector Algebra, Three Dimensional Geometry, Linear Programming, Advanced Probability, JEE Advanced Solved Paper 2015, JEE Main & Advanced Solved Papers 2016, JEE Main & Advanced/BITSAT/Kerala CEE/ KCET/AP & TS EAMCET/VIT/MHT CET Solved Papers 2017, JEE Main & Advanced/BITSAT/Kerala CEE/ KCET/AP & TS EAMCET/VIT/MHT CET Solved Papers 2018, JEE Main & Advanced/BITSAT/Kerala CEE/ KCET/AP & TS EAMCET/VIT/MHT CET Solved Papers 2019-20.

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Applied thermodynamics book in new condition

Applied thermodynamics book in new condition

₹200

About the Book: This book presents a systematic account of the concepts and principles of engineering thermodynamics and the concepts and practices of thermal engineering. The book covers basic course of engineering thermodynamics and also deals with the advanced course of thermal engineering. This book will meet the requirements of the undergraduate students of engineering and technology undertaking the compulsory course of engineering thermodynamics. The subject matter is sufficient for the students of Mechanical Engineering/Industrial-Production Engineering, Aeronautical Engineering, undertaking advanced courses in the name of thermal engineering/heat engineering/applied thermodynamics etc. Presentation of the subject matter has been made in very simple and understandable language. The book is written in SI system of units and each chapter has been provided with sufficient number of typical numerical problems of solved and unsolved questions with answers. Contents: Fundamental Concepts and Definitions Zeroth Law of Thermodynamics First Law of Thermodynamics Second Law of Thermodynamics Entropy Thermodynamic Properties of Pure Substance Availability and General Thermodynamic Relations Vapour Power Cycles Gas Power Cycles Fuel and Combustion Boilers and Boiler Calculations Steam Engine Nozzles Steam Turbines Steam Condenser Reciprocating and Rotary Compressor Introduction to Internal Combustion Engines Introduction to Refrigeration and Air Conditioning Jet Propulsion and Rocket Engines Multiple Answer type Questions

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Hadoop Operations

Hadoop Operations

₹500

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models

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