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Deep Work
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Author : Cal Newport
language : en
Publisher: Grand Central Publishing
Release Date : 2016-01-05
Deep Work written by Cal Newport and has been published by Grand Central Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-05 with Business & Economics categories.
AN AMAZON BEST BOOK OF 2O16 PICK IN BUSINESS & LEADERSHIP WALL STREET JOURNAL BUSINESS BESTSELLER A BUSINESS BOOK OF THE WEEK AT 800-CEO-READ Master one of our economy’s most rare skills and achieve groundbreaking results with this “exciting” book (Daniel H. Pink) from an “exceptional” author (New York Times Book Review). Deep work is the ability to focus without distraction on a cognitively demanding task. It's a skill that allows you to quickly master complicated information and produce better results in less time. Deep Work will make you better at what you do and provide the sense of true fulfillment that comes from craftsmanship. In short, deep work is like a super power in our increasingly competitive twenty-first century economy. And yet, most people have lost the ability to go deep-spending their days instead in a frantic blur of e-mail and social media, not even realizing there's a better way. In Deep Work, author and professor Cal Newport flips the narrative on impact in a connected age. Instead of arguing distraction is bad, he instead celebrates the power of its opposite. Dividing this book into two parts, he first makes the case that in almost any profession, cultivating a deep work ethic will produce massive benefits. He then presents a rigorous training regimen, presented as a series of four "rules," for transforming your mind and habits to support this skill. 1. Work Deeply 2. Embrace Boredom 3. Quit Social Media 4. Drain the Shallows A mix of cultural criticism and actionable advice, Deep Work takes the reader on a journey through memorable stories-from Carl Jung building a stone tower in the woods to focus his mind, to a social media pioneer buying a round-trip business class ticket to Tokyo to write a book free from distraction in the air-and no-nonsense advice, such as the claim that most serious professionals should quit social media and that you should practice being bored. Deep Work is an indispensable guide to anyone seeking focused success in a distracted world.
Learning Tensorflow
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Author : Tom Hope
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-08-09
Learning Tensorflow written by Tom Hope and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with Computers categories.
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. You’ll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlessly Learn how to use TensorFlow to build deep learning models from the ground up Train popular deep learning models for computer vision and NLP Use extensive abstraction libraries to make development easier and faster Learn how to scale TensorFlow, and use clusters to distribute model training Deploy TensorFlow in a production setting
So Good They Can T Ignore You
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Author : Cal Newport
language : en
Publisher: Hachette UK
Release Date : 2016-12-01
So Good They Can T Ignore You written by Cal Newport and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Business & Economics categories.
Cal Newport's clearly-written manifesto flies in the face of conventional wisdom by suggesting that it should be a person's talent and skill - and not necessarily their passion - that determines their career path. Newport, who graduated from Dartmouth College (Phi Beta Kappa) and earned a PhD. from MIT, contends that trying to find what drives us, instead of focusing on areas in which we naturally excel, is ultimately harmful and frustrating to job seekers. The title is a direct quote from comedian Steve Martin who, when once asked why he was successful in his career, immediately replied: "Be so good they can't ignore you" and that's the main basis for Newport's book. Skill and ability trump passion. Inspired by former Apple CEO Steve Jobs' famous Stanford University commencement speech in which Jobs urges idealistic grads to chase their dreams, Newport takes issue with that advice, claiming that not only is thsi advice Pollyannish, but that Jobs himself never followed his own advice. From there, Newport presents compelling scientific and contemporary case study evidence that the key to one's career success is to find out what you do well, where you have built up your 'career capital,' and then to put all of your efforts into that direction.
Digital Minimalism
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Author : Cal Newport
language : en
Publisher: Penguin UK
Release Date : 2019-02-05
Digital Minimalism written by Cal Newport and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Technology & Engineering categories.
'A presence on the page, Newport is exceptional in the realm of self-help authors' - New York Times 'Cal Newport is a clear voice in a sea of noise, bringing science and passion in equal measure' - Seth Godin, entrepreneur and author of Purple Cow 'A compelling case for cultivating intense focus, and offers immediately actionable steps for infusing more of it into our lives' - Adam Grant, author of Originals on Deep Work Turn off notifications, don't bring your smartphone into the bedroom, check Twitter less often. Chances are you've already heard these tips intended to help control your digital addiction. But they aren't enough. In Digital Minimalism, computer science professor Cal Newport provides a radical new solution to help us embrace and not be enslaved by technology: a 30 day digital detox. Newport explains how to use this offline period to evaluate what we want to use the Internet for so that when we come back online, we spend our time wisely on a small number of carefully crafted activities that connect us to things and people we truly value. With easily implementable tips and practices like replacing web surfing with reading rituals, scheduling when we use digital tools (not when we take breaks from them), never leaving or reading comments on social media, and focusing on creation not consumption, you'll learn how to use and integrate technology into a life well-lived. Read Digital Minimalism and you'll never again sacrifice your productivity to clickbait, or lose 40 minutes of your evening to Instagram.
Deep Work Rules For Focused Success In A Distracted World Blinkist Summary
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Author :
language : en
Publisher:
Release Date : 2019
Deep Work Rules For Focused Success In A Distracted World Blinkist Summary written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
For many modern professionals, remaining electronically connected at nearly all times is the norm. And dealing with these constant distractions-from email, social media, apps, and so on-can wreak havoc on our ability to focus. In Cal Newport's 2016 book, Deep Work, he shares strategies for regaining your ability to focus on a task without distraction. This audiobook summary distills some of the most poignant lessons from Deep Work into quick, easily digestible tips. Tune in to learn how to enhance your productivity-and get more out of your spare time-though focused, deep work. Note: This audiobook summary was produced by Blinkist. We are pleased to host this content in our library.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
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 Rules Of Work Expanded Edition
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Author : Richard Templar
language : en
Publisher: FT Press
Release Date : 2010-06-22
The Rules Of Work Expanded Edition written by Richard Templar and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-22 with Business & Economics categories.
Some people are simply great at their job; they always seem to say or do the right thing. They are mentioned in every conversation. Everybody likes them. They get promoted. They get pay raises. They get along with the boss. And somehow, they do all these things without being unpleasant, breaking much of a sweat or seeming to put in excess effort. And when they are offered another step up the corporate ladder or a fabulous new job, no one is surprised. After all, they have 'potential' written all over them. How do they do it? Do they know some secret we don't? Yes, they know The Rules of Work. These rules aren't about how to do your job, they are about how you are seen doing it. They are about how you appear to others. And they are about helping you to achieve the success you richly deserve. The first edition of The Rules of Work: A Definitive Code for Personal Successbecame a global phenomenon, topping bestseller charts around the world. This new edition includes 10 brand new rules to take you further, faster. These rules are the guiding principles that will improve both what you do and how you do it, giving you the unmistakable air of confidence that will win you admiration, respect, and the next promotion. With The Rules under your belt you'll have the edge in everything you do, without having to compromise your principles.
Liminal Thinking
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Author : Dave Gray
language : en
Publisher: Rosenfeld Media
Release Date : 2016-09-14
Liminal Thinking written by Dave Gray and has been published by Rosenfeld Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-14 with Business & Economics categories.
"Why do some people succeed at change while others fail? It's the way they think! Liminal thinking is a way to create change by understanding, shaping, and reframing beliefs. What beliefs are stopping you right now? You have a choice. You can create the world you want to live in, or live in a world created by others. If you are ready to start making changes, read this book."
The Time Block Planner
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Author : Cal Newport
language : en
Publisher:
Release Date : 2020
The Time Block Planner written by Cal Newport and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Mathematics For Machine Learning
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Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23
Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.