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Mathematics for machine learning by Marc Peter Deisenroth
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Arihant All in One mathematics CBSE class 10 2022
With newly introduced 2 Term Examination Pattern, CBSE has eased out the pressure of preparation of subjects and cope up with lengthy syllabus. Introducing, Arihant’s CBSE TERM II – 2022 Series, the first of its kind that gives complete emphasize on the rationalize syllabus of Class 9th to 12th. The all new “CBSE Term II 2022 – English Language and Literature” of Class 10th provides explanation and guidance to the syllabus required to study efficiently and succeed in the exams. The book provides topical coverage of all the chapters in a complete and comprehensive manner. Covering the 50% of syllabus as per Latest Term wise pattern 2021-22, this book consists of: 1. Complete Theory in each Chapter covering all topics 2. Case-Based, Short and Long Answer Type Question in each chapter 3. Coverage of NCERT, NCERT Examplar & Board Exams’ Questions 4. Complete and Detailed explanations for each question 5. 3 Practice papers base on entire Term II Syllabus. Table of Content Reading: Reading Comprehension, Writing Skills: Formal Letters, Analytical Paragraphs, Grammar: Tenses, Modals Subject-Verb Concord, Determiners, Reported Speech (Commands & Requests, Statements, Questions), Integrated Grammar Exercise, Literature – First Flight: Prose – Glimpses of India, Madam Rides the Bus, The Sermons at Benares, The Proposal (Play), First Flight: Poetry – Amanda, Animals, The Tale of Custard the Dragon, Foot Prints Without Feet: Supplementary – The Making of a Scientist, The Necklace, The Hack Driver, Bholi, Practice Papers (1-3).
Database Systems by Ramez Elmasri, and shamkant B Navathe
Pearson introduces the seventh edition of its best seller on database systems by Elmasri and Navathe. This edition is thoroughly revised to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications,
Distributed Computing by Ajay D. Kshemkalyani and Mukesh Singhal
This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.
QUANTITATIVE APTITUDE for CAT 10th Edition) - Arun Sharma
1. ‘Quantum Cat’- the bestselling study guide for Management entrances 2. The entire syllabus has been divided into 21 Chapters 3. Every chapter is accompanied with CAT Test for quick revision of concepts 4. More than 400 Fundamental Concepts are provided for better understanding 5. More than 1000 Examples are provided with Use-Cases, Twists, Tricks Choices and Lateral Solutions 6. More than 5000 hand crafted problem are given for the practice 7. 2000 New MCQs have been provided for thorough practice Quantitative Aptitude is a core component for getting a winning CAT Score. Out of every section, Quantitative Ability is one of the most unpredictable and time consuming section. Quantitative Aptitude stems an important part of an individuals’ analytical and logical ability for solving complex problems, making it a filtering tool for qualifying CAT and other Management Entrances. The current edition of “Quantum Cat” has been designed by keeping in mind the needs of those who wish to enhance Quantitative Aptitude for CAT and other Management Examinations. The entire syllabus of Quantitative Aptitude section is divided into 21 Chapters and every topic has 2-3 levels of questions that help students to get prepared for the most difficult problems even beyond the CAT Level. At the end of every chapter there is ‘CAT Test’ that contains problems related to the topic that helps in the quick revision of the concepts. This edition has more than 400 Fundamental Concepts to remember, more than 1000 examples are used to give the conceptual clarity with the methods and tricks are used to solve the questions. With the solution oriented approach this book provides more than 5000 hand crafted problems with their respective solution. It also includes more than 2000 MCQs for thorough practice. This book provides the alternative and smarter solutions to get correct answers in lesser time to crack CAT. This book is highly useful for not only for management entrances but for other competitive examinations. With so many features this book
