Books and Authors Current Affairs Ebook - Download Free CA Notes PDF Here!

Books and Authors Current Affairs Ebook - Download Free CA Notes PDF Here! PDF Author: testbook.com
Publisher: Testbook.com
ISBN:
Category : Study Aids
Languages : en
Pages : 5

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Book Description
Get the Books and Authors Current Affairs News as Ebook here. Get to know about new books launched, books descriptions at glance, their authors for June month. Download the notes free as PDF to boost your preparation for Current Affairs section.

Books and Authors Current Affairs Ebook - Download Free CA Notes PDF Here!

Books and Authors Current Affairs Ebook - Download Free CA Notes PDF Here! PDF Author: testbook.com
Publisher: Testbook.com
ISBN:
Category : Study Aids
Languages : en
Pages : 5

Get Book Here

Book Description
Get the Books and Authors Current Affairs News as Ebook here. Get to know about new books launched, books descriptions at glance, their authors for June month. Download the notes free as PDF to boost your preparation for Current Affairs section.

Mergers and Events Current Affairs Ebook- Download Free CA Notes PDF here

Mergers and Events Current Affairs Ebook- Download Free CA Notes PDF here PDF Author: Testbook.com
Publisher: Testbook.com
ISBN:
Category : Study Aids
Languages : en
Pages : 5

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Book Description
Get the Mergers and Events Current Affairs News as Ebook here. Know about the mergers of industries, acquisition approves in the month of June. Download the notes as PDF for free to strengthen your preparation for Current Affairs section in the exam

How to Avoid a Climate Disaster

How to Avoid a Climate Disaster PDF Author: Bill Gates
Publisher: Vintage
ISBN: 0385546149
Category : Science
Languages : en
Pages : 201

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Book Description
#1 NEW YORK TIMES BEST SELLER • In this urgent, authoritative book, Bill Gates sets out a wide-ranging, practical—and accessible—plan for how the world can get to zero greenhouse gas emissions in time to avoid a climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help of experts in the fields of physics, chemistry, biology, engineering, political science, and finance, he has focused on what must be done in order to stop the planet's slide to certain environmental disaster. In this book, he not only explains why we need to work toward net-zero emissions of greenhouse gases, but also details what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. Drawing on his understanding of innovation and what it takes to get new ideas into the market, he describes the areas in which technology is already helping to reduce emissions, where and how the current technology can be made to function more effectively, where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete, practical plan for achieving the goal of zero emissions—suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers, and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but if we follow the plan he sets out here, it is a goal firmly within our reach.

Homotopy Type Theory: Univalent Foundations of Mathematics

Homotopy Type Theory: Univalent Foundations of Mathematics PDF Author:
Publisher: Univalent Foundations
ISBN:
Category :
Languages : en
Pages : 484

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Book Description


Deep Learning

Deep Learning PDF Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801

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Book Description
An 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.

The Emotion Thesaurus: A Writer's Guide to Character Expression (2nd Edition)

The Emotion Thesaurus: A Writer's Guide to Character Expression (2nd Edition) PDF Author: Becca Puglisi
Publisher: JADD Publishing
ISBN: 0999296353
Category : Language Arts & Disciplines
Languages : en
Pages : 541

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Book Description
The bestselling Emotion Thesaurus, often hailed as “the gold standard for writers” and credited with transforming how writers craft emotion, has now been expanded to include 56 new entries! One of the biggest struggles for writers is how to convey emotion to readers in a unique and compelling way. When showing our characters’ feelings, we often use the first idea that comes to mind, and they end up smiling, nodding, and frowning too much. If you need inspiration for creating characters’ emotional responses that are personalized and evocative, this ultimate show-don’t-tell guide for emotion can help. It includes: • Body language cues, thoughts, and visceral responses for over 130 emotions that cover a range of intensity from mild to severe, providing innumerable options for individualizing a character’s reactions • A breakdown of the biggest emotion-related writing problems and how to overcome them • Advice on what should be done before drafting to make sure your characters’ emotions will be realistic and consistent • Instruction for how to show hidden feelings and emotional subtext through dialogue and nonverbal cues • And much more! The Emotion Thesaurus, in its easy-to-navigate list format, will inspire you to create stronger, fresher character expressions and engage readers from your first page to your last.

Nineteen eighty-four

Nineteen eighty-four PDF Author: George Orwell
Publisher: DigiCat
ISBN:
Category : Fiction
Languages : en
Pages : 265

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Book Description
This is a dystopian social science fiction novel and morality tale. The novel is set in the year 1984, a fictional future in which most of the world has been destroyed by unending war, constant government monitoring, historical revisionism, and propaganda. The totalitarian superstate Oceania, ruled by the Party and known as Airstrip One, now includes Great Britain as a province. The Party uses the Thought Police to repress individuality and critical thought. Big Brother, the tyrannical ruler of Oceania, enjoys a strong personality cult that was created by the party's overzealous brainwashing methods. Winston Smith, the main character, is a hard-working and skilled member of the Ministry of Truth's Outer Party who secretly despises the Party and harbors rebellious fantasies.

New from Here

New from Here PDF Author: Kelly Yang
Publisher: Simon and Schuster
ISBN: 1534488324
Category : Juvenile Fiction
Languages : en
Pages : 384

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Book Description
An instant #1 New York Times bestseller! This “timely and compelling” (Kirkus Reviews) middle grade novel about courage, hope, and resilience follows an Asian American boy fighting to keep his family together and stand up to racism during the initial outbreak of the coronavirus. When the coronavirus hits Hong Kong, ten-year-old Knox Wei-Evans’s mom makes the last-minute decision to move him and his siblings back to California, where they think they will be safe. Suddenly, Knox has two days to prepare for an international move—and for leaving his dad, who has to stay for work. At his new school in California, Knox struggles with being the new kid. His classmates think that because he’s from Asia, he must have brought over the virus. At home, Mom just got fired and is panicking over the loss of health insurance, and Dad doesn’t even know when he’ll see them again, since the flights have been cancelled. And everyone struggles with Knox’s blurting-things-out problem. As racism skyrockets during COVID-19, Knox tries to stand up to hate, while finding his place in his new country. Can you belong if you’re feared; can you protect if you’re new? And how do you keep a family together when you’re oceans apart? Sometimes when the world is spinning out of control, the best way to get through it is to embrace our own lovable uniqueness.

Mathematics for Machine Learning

Mathematics for Machine Learning PDF Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392

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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.

How to Read a Book

How to Read a Book PDF Author: Mortimer J. Adler
Publisher: Simon and Schuster
ISBN: 1476790159
Category : Language Arts & Disciplines
Languages : en
Pages : 448

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Book Description
Investigates the art of reading by examining each aspect of reading, problems encountered, and tells how to combat them.