Data Audiobooks
Browse our extensive library of audiobooks and Audiobook Summaries.
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Audiobook
Algorithms and Data Structures for Massive DatasetsAlgorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand.
By Dzejla Medjedovic, Emin Tahirovic, Ines Dedovic
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Big Data Analytics: Turning Big Data into Big MoneyThis audio edition tells how you can leverage big data into a key component in your business's growth strategy.
By Frank J. Ohlhorst
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Big Data at Work: Dispelling the Myths, Uncovering the OpportunitiesThis audio edition explains what big data means-and why everyone in business needs to know about it.
By Tom Davenport
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's BusinessesThis audio edition looks at cutting-edge companies supporting an exciting new generation of business analytics.
By Ambiga Dhiraj, Michael Minelli, Michele Chambers
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Big Data, Little Data, No Data: Scholarship in the Networked WorldThis audio edition asserts that managing data over the long term requires massive investment in knowledge infrastructures, putting the future of scholarship at stake.
By Christine L. Borgman
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Big Data: A Revolution That Will Transform How We Live, Work, and ThinkThis audio edition explores the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large.
By Kenneth Cukier, Viktor Mayer-Schönberger
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Big Data: Principles and Best Practices of Scalable Realtime Data SystemsThis audio edition teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data.
By James Warren, Nathan Marz
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Habeas Data: Privacy vs. the Rise of Surveillance TechIn 10 crucial legal cases, this audio edition explores the tools of surveillance that exist today, how they work, and what the implications are for the future of privacy.
By Cyrus Farivar
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How Data Happened: A History from the Age of Reason to the Age of AlgorithmsA sweeping history of data and its technical, political, and ethical impact on our world.
By Chris Wiggins, Matthew L. Jones
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Spark in ActionThis audio edition teaches you the theory and skills you need to effectively handle batch and streaming data using Spark.
By Marko Bonaci, Petar Zecevic
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A Human Algorithm: How Artificial Intelligence Is Redefining Who We AreThis audio edition is a groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. Read by the author.
By Flynn Coleman
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AI and Genius MachinesThis audio edition reviews work in the field and covers topics from chess-playing to quantum computing.
By Scientific American
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AI and Machine Learning for Coders: A Programmer's Guide to Artificial IntelligenceIf 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.
By Laurence Moroney
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AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st EditionThis insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.
By Laurence Moroney
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AI and the Future of BankingThis audio edition provides new and established banking industry professionals with essential information on the implications of data and analytics on their roles, responsibilities, and personal career development.
By Tony Boobier
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AI And The Future of Education: Teaching in the age of Artificial IntelligenceThis book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.
By Priten Shah
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AI at the Edge: Solving Real-World Problems with Embedded Machine LearningThis practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products.
By Daniel Situnayake, Jenny Plunkett
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AI for Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers, and Closing SalesThis audio edition offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML).
By A.K. Pradeep, Andrew Appel, Stan Sthanunathan
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All-in On AI: How Smart Companies Win Big with Artificial IntelligenceAll-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.
By Nitin Mittal, Tom Davenport
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Architects of Intelligence: The truth about AI from the people building itThis audio edition contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.
By Martin Ford
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Army of None: Autonomous Weapons and the Future of WarIn this audio edition, Paul Scharre, a Pentagon defense expert and former U.S. Army Ranger, explores what it would mean to give machines authority over the ultimate decision of life or death.
By Paul Scharre
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Artificial Intelligence Basics: A Non-Technical IntroductionThis audio edition equips you with a fundamental, timely grasp of AI and its impact.
By Tom Taulli
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Artificial Intelligence for DummiesThis audio edition provides a clear introduction to AI and how it's being used today.
By John Mueller, Luca Massaron
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Artificial Intelligence for Marketing: Practical ApplicationsThis audio edition provides a nontechnical crash course to help you stay ahead of the curve.
By Jim Sterne
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Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve ProblemsThis audio edition is a fascinating look into how companies use AI and machine learning to solve problems.
By Bernard Marr, Matt Ward
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Artificial Intelligence: From Medieval Robots to Neural NetworksThis audio edition takes listeners on a fascinating journey through the past, present, and future of artificial intelligence.
By Clifford A. Pickover
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Artificial Intelligence: The Insights You Need from Harvard Business ReviewFrom making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society.
By Erik Brynjolfsson, H. James Wilson, Thomas H Davenport
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Artificial Intelligence: What Everyone Needs to KnowThis audio edition discusses how, over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly.
By Jerry Kaplan
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Artificial Unintelligence: How Computers Misunderstand the WorldThis audio edition reminds us that there are fundamental limits to what we can (and should) do with technology.
By Meredith Broussard
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Atlas of AI: Power, Politics, and the Planetary Costs of Artificial IntelligenceThis book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.
By Kate Crawford, Larissa Gallagher, Tantor Audio
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Autonomous Transformation: Creating a More Human Future in the Era of Artificial IntelligenceAutonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.
By Brian Evergreen
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ChatGPT For DummiesLearn how the disruptive AI chatbot is going to change school, work, and beyond
By Pam Baker
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Deep LearningThis audio edition offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
By John D. Kelleher
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Deep Learning Patterns and PracticesIn it, you'll find deep learning models presented in a unique new way: As extendable design patterns you can easily plug-and-play into your software projects.
By Andrew Ferlitsch
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Deep Learning with PyTorch: Build, train, and tune neural networks using Python toolsThis book teaches you to create neural networks and deep learning systems with PyTorch.
By Eli Stevens, Luca Antiga, Manning Publications, Mark Thomas, Thomas Viehmann
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Deep Reinforcement Learning in Action NEW!Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you'll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you'll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.
By Alexander Zai, Brandon Brown
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Ensemble Methods for Machine Learning NEW!Ensemble Methods for Machine Learning teaches you practical techniques for applying multiple ML approaches simultaneously. Each chapter contains a unique case study that demonstrates a fully functional ensemble method, with examples including medical diagnosis, sentiment analysis, handwriting classification, and more. There's no complex math or theory-you'll learn in a visuals-first manner, with ample code for easy experimentation!
By Gautam Kunapuli
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Evolutionary Deep Learning NEW!Evolutionary Deep Learning introduces evolutionary computation (EC) and gives you a toolbox of techniques you can apply throughout the deep learning pipeline. Discover genetic algorithms and EC approaches to network topology, generative modeling, reinforcement learning, and more! Interactive Colab notebooks give you an opportunity to experiment as you explore.
By Micheal Lanham
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GANs in Action: Deep learning with Generative Adversarial NetworksThis audio edition teaches you to build and train your own Generative Adversarial Networks.
By Jakub Langr, Vladimir Bok
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Generative AI: The Insights You Need from Harvard Business Review HBR Insights NEW!Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI.
By David De Cremer, Ethan Mollick, Harvard Business Review, Prabhakant Sinha, Tsedal Neeley
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Graph-Powered Machine LearningThis book explains about machine learning.
By Alessandro Negro, Julie Brierley
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Grokking Artificial Intelligence AlgorithmsThis audio edition teaches you the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications.
By Rishal Hurbans
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Grokking Machine LearningGrokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand.
By Luis G. Serrano
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HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)The next generation of AI is here-use it to lead your business forward.
By Harvard Business Review
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Heart of the Machine: Our Future in a World of Artificial Emotional IntelligenceThis audio edition explores the next giant step in the relationship between humans and technology.
By Richard Yonck
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How Smart Machines ThinkThis audio edition offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart.
By Sean Gerrish
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Human/Machine: The Future of our Partnership with MachinesThis audio edition offers a blueprint to avoid being left behind and unearth the opportunities unique to human-machine partnership ecosystems.
By Daniel Newman, Olivier Blanchard
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I, Human: AI, Automation, and the Quest to Reclaim What Makes Us UniqueIn I, Human psychologist Tomas Chamorro-Premuzic takes readers on an enthralling and eye-opening journey across the AI landscape. Though AI has the potential to change our lives for the better, he argues, AI is also worsening our bad tendencies, making us more distracted, selfish, biased, narcissistic, entitled, predictable, and impatient.
By Tomas Chamorro-Premuzic
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Leading with AI and Analytics: Build Your Data Science IQ to Drive Business ValueThis book explain about Essential tools to help you: develop a strong data science intuition quotient, lead and scale AI and analytics throughout your organization, move from "best-guess" decision making to evidence-based decisions, and craft strategies and tactics to create real impact.
By Eric Anderson, Florian Zettelmeyer
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Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPTWriting computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever.
By Daniel Zingaro, Leo Porter
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Literary Theory for Robots: How Computers Learned to WriteLiterary Theory for Robots reveals the hidden history of modern machine intelligence, taking listeners on a spellbinding journey from medieval Arabic philosophy to visions of a universal language, past Hollywood fiction factories, and missile defense systems trained on Russian folktales.
By Dennis Yi Tenen
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Machine Learning Bookcamp: Build a Portfolio of Real-Life ProjectsMachine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts.
By Alexey Grigorev
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Managing Machine Learning Projects NEW!Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production. You'll learn how to plan essential infrastructure, coordinate experimentation, protect sensitive data, and reliably measure model performance. Many ML projects fail to create real value-read this book to make sure your project is a success.
By Simon Thompson
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Math for Programmers: 3D Graphics, Machine Learning and Simulations with PythonThis audio edition unlocks the door to interesting-and lucrative!-careers in some of today's hottest programming fields.
By Paul Orland
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MIT Sloan Management Review Article on Me, Myself, and AI NEW!Why do only 10% of companies succeed with AI? We're on a mission to figure it out.
By MIT Sloan Management Review
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Not with a Bug, But With a Sticker: Attacks on Machine Learning Systems and What to Do About ThemIn Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats.
By Hyrum Anderson, Ram Shankar Siva Kumar
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Our Planet Powered by AI: How We Use Artificial Intelligence to Create a Sustainable Future for HumanityA hands-on guide to evolving your company with ethical AI along with thought-provoking insights and predictions from a variety of well-known industry leaders.
By Mark Minevich
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Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your CompetitionIn this audio edition of "Own the A.I. Revolution" provides a future-forward look at AI - how it will look in the coming years, the countless business opportunities it will offer, the risks that come with it
By Michael Ashley, Neil Sahota
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Privacy-Preserving Machine LearningKeep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models.
By Di Zhuang, G. Dumindu Samaraweera, J. Morris Chang
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Real World Machine LearningThis audio edition will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics.
By Henrik Brink, Joseph Richards
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Regular Expression Puzzles and AI Coding Assistants: 24 Puzzles Solved by The Author, With and Without Assistance from Copilot, ChatGPT and MoreLearn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs.
By David Mertz
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Rise of the Machines: A Cybernetic HistoryThis audio edition reclaims the story of cybernetics, a control theory of man and machine. Thomas Rid delivers a portrait of our technology-enraptured era.
By Thomas Rid
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Robot-Proof: Higher Education in the Age of Artificial IntelligenceThis audio edition explains how to educate the next generation of college students to invent, to create, and to discover-filling needs that even the most sophisticated robot cannot.
By Joseph E. Aoun
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The AI DelusionThis audio edition explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.
By Gary Smith
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The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business ExponentiallyThis book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses-including yours-by strategically using your data's latent, transformative potential.
By Asha Saxena
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The Automation Advantage: Embrace the Future of Productivity and Improve Speed, Quality, and Customer Experience Through AIThis book refers to The Automation goes beyond optimizing process to using AI to transform almost any business activity in any industry to make it faster, more streamlined, cost efficient, and customer-focused - vastly improving overall productivity and performance.
By Bhaskar Ghosh PhD, Gayathri Pallail, J. Rajendra Prasad
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The Datapreneurs: The Promise of AI and the Creators Building Our FutureIn The Datapreneurs, Bob Muglia helps us understand how innovation in data and information technology have led us to AI-and how this technology must shape our future.
By Bob Muglia, Steve Hamm
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The Deep Learning RevolutionIn this audio edition, author Terrence J. Sejnowski explores how deep learning - from Google Translate to driverless cars to personal cognitive assistants - is changing our lives and transforming every sector of the economy.
By Terrence J. Sejnowski
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AUDIOBOOK SUMMARY
The Executive Guide to Artificial Intelligence: How to Identify and Implement Applications for AI in Your OrganizationThe Executive Guide to Artificial Intelligence explains how organizations can use machine intelligence to increase their efficiency and productivity. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By Andrew Burgess
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The Language of Deception: Weaponizing Next Generation AIIn the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.
By Justin Hutchens
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The Second Age of Computer Science: From Algol Genes to Neural NetsThis audio edition describes the evolution of computer science in its second age in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades.
By Subrata Dasgupta
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The Wolf Is At the Door: How to Survive and Thrive in an AI-Driven World NEW!The Wolf Is at the Door invites you on a compelling journey, unveiling this dramatic transformation and providing crucial insights for entrepreneurs and workers alike. Unraveling the boundless possibilities and problems borne by the digital frontier, this book breaks down the 10 most pressing threats we face and ten vital rules to thrive in an AI-driven world.
By Ben Angel
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Thinking Machines: The Quest for Artificial Intelligence--and Where It's Taking Us NextThis audio edition takes you through the history of AI and how it makes up the foundations of the machines that think for us today.
By Luke Dormehl
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Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge)This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled-"smart"-systems at work.
By Steven M. Miller, Thomas H. Davenport
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97 Things Every Data Engineer Should Know: Collective Wisdom from the ExpertsTake advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.
By Tobias Macey
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Data for AllDo you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it.
By John K. Thompson
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Data Mesh in ActionRevolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.
By Jacek Majchrzak, Marian Siwiak, Sven Balnojan
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Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st EditionWhen 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 and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
By Alex Petrov
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Fundamentals of Data Engineering: Plan and Build Robust Data SystemsData engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
By Joe Reis, Matt Housley
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Learning SQL: Generate, Manipulate, and Retrieve Data, 3rd EditionKnowledge of SQL is a must for interacting with data. With Learning SQL, you'll quickly discover how to put the power and flexibility of this language to work.
By Alan Beaulieu
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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQLThis book shows you EXACTLY what you need to know to successfully use the SQL programming language to enhance your career!
By Walter Shields
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Algorithms of the Intelligent Web, Second EditionThis audio edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs.
By Dmitry Babenko, Douglas McIlwraith, Haralambos Marmanis
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Build a Career in Data ScienceThis audio edition is your guide to landing your first data science job and developing into a valued senior employee.
By Emily Robinson, Jacqueline Nolis
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Classic Computer Science Problems in PythonThis audio edition sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python.
By David Kopec
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Data Mining Techniques: For Marketing, Sales, and Customer Relationship ManagementThis audio edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
By Gordon S. Linoff, Michael J.A. Berry
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Data ScienceThis audio edition offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project.
By John D. Kelleher
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Data Science BookcampThis book explain about data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science.
By Leonard Apeltsin
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Data Science For Dummies, 2nd EditionThis audio edition is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space.
By Lillian Pierson
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AUDIOBOOK SUMMARY
Data Smart: Using Data Science to Transform Information into InsightIn his book, Data Smart, author John W. Foreman explains how you can transform raw, meaningless data into information that provides insights into your business. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
By John W. Foreman
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Data Smart: Using Data Science to Transform Information into InsightIn this audio edition, how does one exactly do data science? John Foreman will teach how you how it's done within the familiar environment of a spreadsheet.
By John W. Foreman
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Deep Learning with PythonThis audio edition introduces the field of deep learning using the Python language and the powerful Keras library.
By Francois Chollet
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Deep Learning with Python, 2nd EditionThis book explains about python programming.
By Derek Dysart, Francois Chollet
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Practical Data Science with RThis audio edition of "Practical Data Science with R" lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business.
By Nina Zumel
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R in Action: Data Analysis and Graphics with R, Second EditionThis audio edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers.
By Robert Kabacoff