Oswaal GATE Chapter-wise Topic-wise 15 Years' Solved Papers 2010 to 2024 | Engineering Mathematics For 2025 Exam


Book Description

Description of the Product: • Previous 15 Years’ GATE chapter-wise & topic-wise solved papers of General Aptitude (2010 -2024) • 100% Exam Ready With 2024 Papers (All 8 Shifts) Fully Solved • Concept Clarity With Revision Notes, Mind Maps & Key Concepts through Explanations • Extensive Practice With 1000+ Questions & 2 Sample Papers • 100% Exam Readiness With the Latest Previous Years’ Trend Analysis (2024- 2017) • Valuable Exam Insights With Tips & Tricks to ace GATE Exam in 1st attempt • Easy to Scan QR codes for online content




GATE 2021 - Mathematics - Solved Papers 2000-2020


Book Description

Hundreds of students write the GATE aerospace engineering Paper every year. Gate Mathematics solved papers -from GKP's GATE Prep Series is among Topper recommended books for GATE exam. Each question is supported with detailed answers for better understanding of concepts. This book consists of solved papers of year 2000 to 2020. Previous GATE solved papers help students better understand exam pattern and weightage of questions asked in GATE exam. With detailed solutions to previous year questions, students will be able to gain better insights into preparing more efficiently for GATE 2021. About the current edition: a. Completely solved papers from 2000 to 2020 B. Detailed answers to questions C. As per the exam pattern.




Oswaal GATE Year-wise 15 Years' Solved Papers 2010 to 2024 | Engineering Mathematics For 2025 Exam


Book Description

Description of the Product: • 100% Exam Ready With 2024 Papers (All 8 Shifts) Fully Solved • Concept Clarity Learn key Concepts through Mind Map & Explanations • Extensive Practice With 1000+ Questions & 2 Sample Papers • 100% Exam Readiness With the Latest Previous Years’ Trend Analysis (2017-2024) • Valuable Exam Insights With Tips & Tricks to ace GATE Exam in 1st attempt







Design of Electrical Machines


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IIT JAM Physics Solved Papers and Practice sets 2022


Book Description

1. IIT JAM solved papers and Practice sets are the preparatory guides for Physics, Chemistry, Biotechnology and Mathematics 2. The book is designed as per latest pattern and syllabus 3. 16 Previous years’ solved papers [2021-2015] for practice 4. 3 Practice Sets are given to track the progress 5. All the answers have been well explained with details for better understanding of the concepts M.Sc. from IITs and IISc is so worthwhile and blooming for the career. After all, these institutions are known for their quality education in the fields of engineering, science and technology. Both of these institutions jointly conduct IIT JAM – an all India admission test in M.Sc. programmes, P.hD. dual degree and other post B.Sc. Courses. Start preparing yourself with newly updated edition of “IIT JAM Physics Solved Papers [2021-2015]” designed according to the latest exam pattern and syllabus. The book contains good number of Previous Years’ Solved papers with their detailed and authentic solutions which fosters an exam like environment in you. 3 simultaneous Practice Sets are provided at the end for the quick revision of the paper. Step – by – step solutions to each question in solved papers and practice sets help to increase the edificial knowledge of the aspirants. TOC Solved Papers (2021-2015), 3 Practice Sets




GATE Mathematics


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Mathematics for Machine Learning


Book Description

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.