
The Kaggle Book
Data Analysis and Machine Learning for Competitive Data Science
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Narrado por:
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Alex Freeman
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Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.
The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.
Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this audiobook is for you.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Chemistry and Our Universe: How It All Works is your in-depth introduction to this vital field, taught through 60 engaging half-hour lectures that are suitable for any background or none at all. Covering a year’s worth of introductory general chemistry at the college level, plus intriguing topics that are rarely discussed in the classroom, this amazingly comprehensive course requires nothing more advanced than high-school math. Your guide is Professor Ron B. Davis, Jr., a research chemist and award-winning teacher at Georgetown University.
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Great Professor, Hard to Follow.
- De Jen en 05-14-19
De: Ron B. Davis, y otros
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Letters from an Astrophysicist
- De: Neil deGrasse Tyson
- Narrado por: Neil deGrasse Tyson, Vikas Adam, Piper Goodeve, y otros
- Duración: 5 h y 35 m
- Versión completa
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Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by unveiling his candid correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 100 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto.
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Dear Neil...
- De Tina G. en 10-14-19
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My Big TOE: Discovery
- Book Two of a Trilogy Unifying Philosophy, Physics, and Metaphysics
- De: Thomas Campbell
- Narrado por: Thomas Campbell
- Duración: 15 h y 25 m
- Versión completa
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Section 3 develops the interface and interaction between we the people and our digital consciousness reality. It derives and explains the characteristics, origins, dynamics, and function of ego, love, and free will. It derives our larger purpose. Finally, Section 3 develops the psi uncertainty principle as it explains and interrelates psi phenomena, free will, love, consciousness evolution, reality, human purpose, entropy and physics.
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A guidebook to a bigger reality & realization
- De Diana en 11-27-13
De: Thomas Campbell
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Inspired
- How to Create Tech Products Customers Love, Second Edition
- De: Marty Cagan
- Narrado por: Marty Cagan
- Duración: 7 h y 45 m
- Versión completa
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How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.
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Great book, terrible audio wanted to ask a refund
- De Srikanth Ramanujam en 11-15-18
De: Marty Cagan
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Welcome to the Universe
- An Astrophysical Tour
- De: Michael A. Strauss, J. Richard Gott, Neil deGrasse Tyson
- Narrado por: Michael Butler Murray
- Duración: 17 h y 53 m
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Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.
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All About What We Know About the Universe - ALL
- De J.B. en 02-17-17
De: Michael A. Strauss, y otros
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The Structure of Scientific Revolutions
- De: Thomas S. Kuhn
- Narrado por: Dennis Holland
- Duración: 10 h y 14 m
- Versión completa
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General
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Narración:
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Historia
A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were - and still are. The Structure of Scientific Revolutions is that kind of book.
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The problem is not with the book
- De Marcus en 08-09-09
De: Thomas S. Kuhn
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A Crack in Creation
- Gene Editing and the Unthinkable Power to Control Evolution
- De: Jennifer A. Doudna, Samuel H. Sternberg
- Narrado por: Erin Bennett
- Duración: 9 h y 22 m
- Versión completa
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General
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Narración:
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Historia
Not since the atomic bomb has a technology so alarmed its inventors that they warned the world about its use. Not, that is, until the spring of 2015, when biologist Jennifer Doudna called for a worldwide moratorium on the use of the new gene-editing tool CRISPR - a revolutionary new technology that she helped create - to make heritable changes in human embryos.
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In to the abyss we ascend, a scary future
- De Philomath en 06-17-17
De: Jennifer A. Doudna, y otros
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The Quantum Universe
- (And Why Anything That Can Happen, Does)
- De: Brian Cox, Jeff Forshaw
- Narrado por: Samuel West
- Duración: 8 h y 28 m
- Versión completa
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General
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Narración:
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Historia
In The Quantum Universe, Brian Cox and Jeff Forshaw approach the world of quantum mechanics in the same way they did in Why Does E=mc2? and make fundamental scientific principles accessible - and fascinating - to everyone.The subatomic realm has a reputation for weirdness, spawning any number of profound misunderstandings, journeys into Eastern mysticism, and woolly pronouncements on the interconnectedness of all things. Cox and Forshaw's contention? There is no need for quantum mechanics to be viewed this way.
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Not suitable as an audio book
- De SPN en 03-29-22
De: Brian Cox, y otros
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Ten Drugs
- How Plants, Powders, and Pills Have Shaped the History of Medicine
- De: Thomas Hager
- Narrado por: Angelo Di Loreto
- Duración: 8 h y 39 m
- Versión completa
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General
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Beginning with opium, the “joy plant,” which has been used for 10,000 years, Thomas Hager tells a captivating story of medicine. His subjects include the largely forgotten female pioneer who introduced smallpox inoculation to Britain, the infamous knockout drops, the first antibiotic, which saved countless lives, the first antipsychotic, which helped empty public mental hospitals, Viagra, statins, and the new frontier of monoclonal antibodies. This is a deep, wide-ranging, and wildly entertaining book.
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Engrossing to physicians & lay persons alike
- De C. White en 03-08-19
De: Thomas Hager
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Becoming a Data Head
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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
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Great advice, and read well.
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Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
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Not meant to be an audiobook
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Deep Learning with Python (Second Edition)
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audible version is useless - has no PDF
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Machine Learning Bookcamp
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In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
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If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
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Becoming a Data Head
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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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Great Start for Those interested in data.
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Machine Learning Interviews
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As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
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Great advice, and read well.
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Not meant to be an audiobook
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De: Marco Peixeiro
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Deep Learning with Python (Second Edition)
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
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In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
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AI and Machine Learning for Coders
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Database Internals
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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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I can't believe this exists as an audiobook.
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Data Mesh
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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
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Great coverage of current and future data product states.
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Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
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Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
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Audio isn't a good fit for material
- De William May en 04-05-23
De: Saurabh Shrivastava, y otros
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Artificial Intelligence for Dummies (3rd Edition)
- De: Stephanie Diamond, Luca Massaron, John Paul Mueller
- Narrado por: Paul Boehmer
- Duración: 18 h y 37 m
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General
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Narración:
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Historia
Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.
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Hyphen
- De City till I die en 02-18-25
De: Stephanie Diamond, y otros
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Grokking Algorithms
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- Versión completa
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General
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Narración:
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Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
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Deep Learning with PyTorch
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General
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Narración:
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Historia
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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Why Machines Learn
- The Elegant Math Behind Modern AI
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- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
- Versión completa
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General
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Narración:
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Historia
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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A great listen, but a physical book is pre appropriate
- De Sameer D. en 11-07-24
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The Model Thinker
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General
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Narración:
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Historia
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
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It does not work on Audible
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De: Scott E. Page
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Building Microservices
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General
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Narración:
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Historia
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Advances in Financial Machine Learning
- De: Marcos Lopez de Prado
- Narrado por: Steven Jay Cohen
- Duración: 12 h y 58 m
- Versión completa
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General
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Narración:
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Historia
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.
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Beware - not suited to audio-book format.
- De Theo en 07-10-18
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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
- Duración: 17 h y 17 m
- Versión completa
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General
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Narración:
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Historia
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
De: Daniel Situnayake, y otros
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The Engineering Executive's Primer
- Impactful Technical Leadership
- De: Will Larson
- Narrado por: Al Kessel
- Duración: 11 h y 56 m
- Versión completa
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General
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Narración:
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Historia
In this book, author Will Larson shows you ways to obtain your first executive job and quickly ramp up to meet the challenges you may not have encountered in non-executive roles: measuring engineering for both engineers and the CEO, company-scoped headcount planning, communicating successfully across a growing organization, and figuring out what people actually mean when they keep asking for a "technology strategy."
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An insight into the responsibilities of CTOs
- De Voytek en 12-26-24
De: Will Larson
Lo que los oyentes dicen sobre The Kaggle Book
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Ejecución
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Historia
- Jon Bown
- 03-05-23
Game Changer
This book is full of so much valuable information on how to get better at machine learning in general in addition to the competitions hosted in Kaggle. The technical breadth contained in both the audio and print versions make it a must have reference for anyone working in data.
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- D B B
- 05-16-24
Absolutely disastrous
In the Audiobook version of "The Kaggle Book," the narrator, Alex Freeman, consistently pronounces "Kaggle" KAY-guhl, like "kegel." The word "kaggle" is used in almost every sentence, sometimes more than once per sentence.
Kaggle (KAH-gul) is a data science platform. Kegel (KAY-guhl) is a pelvic floor exercise. Astonishingly, he does this even in the sentence where he says that the name was chosen to rhyme with "gaggle."
I contacted Packt to see if they could provide an explanation, but I couldn't get passed their GPT-generated form letters. All in all, a shameful adaptation to audiobook, and a bad sign for any Packt books I might see on Audible in the future.
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