Star Maths Class 5 Part A, Part B, Part C & Part D (Four Booklets)
Author: Dr. Anupriya Pandya
Publisher: Goyal Brothers Prakashan
Published: 2019-01-01
Total Pages: 400
ISBN-13: 9388676130
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Author: Dr. Anupriya Pandya
Publisher: Goyal Brothers Prakashan
Published: 2019-01-01
Total Pages: 400
ISBN-13: 9388676130
DOWNLOAD EBOOKGoyal Brothers Prakashan
Author: Dr. Anupriya Pandya
Publisher: Goyal Brothers Prakashan
Published: 2019-01-01
Total Pages: 288
ISBN-13: 9388676114
DOWNLOAD EBOOKGoyal Brothers Prakashan
Author: Dr. Anupriya Pandya
Publisher: Goyal Brothers Prakashan
Published: 2020-01-01
Total Pages: 334
ISBN-13: 9388676122
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Author: Maria Miller
Publisher:
Published: 2024-05-30
Total Pages: 0
ISBN-13: 9781954358898
DOWNLOAD EBOOKAuthor: Erika Warecki
Publisher: Learning Express (NY)
Published: 2002
Total Pages: 0
ISBN-13: 9781576854167
DOWNLOAD EBOOKGetting Ready for the 4th Grade Assessment Test: Help Improve Your Child’s Math and English Skills – Many parents are expressing a demand for books that will help their children succeed and excel on the fourth grade assessment tests in math and English –especially in areas where children have limited access to computers. This book will help students practice basic math concepts, i.e., number sense and applications as well as more difficult math, such as patterns, functions, and algebra. English skills will include practice in reading comprehension, writing, and vocabulary. Rubrics are included for self-evaluation.
Author: Randy Pausch
Publisher:
Published: 2010
Total Pages: 0
ISBN-13: 9780340978504
DOWNLOAD EBOOKThe author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family.
Author:
Publisher:
Published: 2011
Total Pages:
ISBN-13: 9780547404783
DOWNLOAD EBOOKAuthor: Ian Goodfellow
Publisher: MIT Press
Published: 2016-11-10
Total Pages: 801
ISBN-13: 0262337371
DOWNLOAD EBOOKAn introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Weir
Publisher: Pearson Education India
Published: 2008
Total Pages: 1388
ISBN-13: 9788131718674
DOWNLOAD EBOOKAuthor: Colin Conrad Adams
Publisher: American Mathematical Soc.
Published: 2004
Total Pages: 330
ISBN-13: 0821836781
DOWNLOAD EBOOKKnots are familiar objects. Yet the mathematical theory of knots quickly leads to deep results in topology and geometry. This work offers an introduction to this theory, starting with our understanding of knots. It presents the applications of knot theory to modern chemistry, biology and physics.