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Deep Work
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Author : Cal Newport
language : en
Publisher: Hachette UK
Release Date : 2016-01-05
Deep Work 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 2016-01-05 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.
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.
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.
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.
Summary Deep Work Rules For Focused Success In A Distracted World By Cal Newport The Mw Summary Guide
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Author : The Mindset Warrior
language : en
Publisher: KP
Release Date :
Summary Deep Work Rules For Focused Success In A Distracted World By Cal Newport The Mw Summary Guide written by The Mindset Warrior and has been published by KP this book supported file pdf, txt, epub, kindle and other format this book has been release on with Self-Help categories.
An Easy to Digest Summary Guide... ★☆BONUS MATERIAL AVAILABLE INSIDE★☆ The Mindset Warrior Summary Guides, provides you with a unique summarized version of the core information contained in the full book, and the essentials you need in order to fully comprehend and apply. Maybe you've read the original book but would like a reminder of the information? ✅ Maybe you haven't read the book, but want a short summary to save time? ✅ Maybe you'd just like a summarized version to refer to in the future? ✅. Inside You'll Learn: ✱ How to create a schedule that will supercharge your productivity without stressing you out. ✱ Communication strategies to prevent you from distraction, while still meeting the needs of other people. ✱ What to do in your downtime to make sure you don't erase all the hard work you put into your work hours. (Many people mess this up, they mistakenly think "hustle" is a long term strategy) ✱ How to build meaning into your work life so that it feels enriching rather than taxing. In any case, The Mindset Warrior Summary Guides can provide you with just that. Lets get Started. Download Your Book Today.. NOTE: To Purchase the "Deep Work"(full book); which this is not, simply type in the name of the book in the search bar of your bookstore.
The Principles Of Deep Learning Theory
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Author : Daniel A. Roberts
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-26
The Principles Of Deep Learning Theory written by Daniel A. Roberts 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 2022-05-26 with Computers categories.
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
The 5 Second Rule
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Author : Mel Robbins
language : en
Publisher: Savio Republic
Release Date : 2017-02-28
The 5 Second Rule written by Mel Robbins and has been published by Savio Republic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-28 with Self-Help categories.
Throughout your life, you've had parents, coaches, teachers, friends, and mentors who have pushed you to be better than your excuses and bigger than your fears. What if the secret to having the confidence and courage to enrich your life and work is simply knowing how to push yourself? Using the science habits, riveting stories and surprising facts from some of the most famous moments in history, art and business, Mel Robbins will explain the power of a "push moment." Then, she'll give you one simple tool you can use to become your greatest self. It take just five seconds to use this tool, and every time you do, you'll be in great company. More than 8 million people have watched Mel's TEDx Talk, and executives inside of the world's largest brands are using the tool to increase productivity, collaboration, and engagement. In The 5 Second Rule, you'll discover it takes just five seconds to: Become confident Break the habit of procrastination and self-doubt Beat fear and uncertainty Stop worrying and feel happier Share your ideas with courage The 5 Second Rule is a simple, one-size-fits-all solution for the one problem we all face—we hold ourselves back. The secret isn't knowing what to do—it's knowing how to make yourself do it. p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Arial}
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.
Neural Networks And Deep Learning
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2018-08-25
Neural Networks And Deep Learning written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-25 with Computers categories.
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
Automatic Speech Recognition
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Author : Dong Yu
language : en
Publisher: Springer
Release Date : 2014-11-11
Automatic Speech Recognition written by Dong Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Technology & Engineering categories.
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.