In Create Your Own Website Using WordPress in a Weekend, author Alannah Moore draws on her extensive experience to show how, in just a weekend, almost anyone can create a website in WordPress that looks professional, and is entirely tailored to their needs and preferences.
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Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.
If you’ve been curious about machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.
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You are being automated.
After decades of hype and sci-fi fantasies, artificial intelligence is leaping out of research labs and into the center of our lives. Automation doesn’t just threaten our jobs. It shapes our entire human experience, with AI and algorithms influencing the TV shows we watch, the music we listen to, the beliefs we hold, and the relationships we form. And while the age-old debate over whether automation will destroy jobs rages on, an even more important question is being ignored:
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A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides you through creating compelling AI-powered games and applications using the Scratch programming language.
Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code!
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Your logical, linear guide to the fundamentals of data science programming
Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.
Get Data Science Programming: All-in-One For Dummies (Paperback) by John Paul Mueller and other educational reference books online and at Fully Booked bookstore branches in the Philippines.
Put the power of Excel functions to work in your formulas
With this book, you’ll learn to apply the power of Excel functions and formulas to make your work and other tasks easier. Compare 15-year vs. 30-year mortgage terms, choose between leasing or buying a car, compute classroom grades, create an amortization table, evaluate investment performance, calculate the real cost of credit card purchases, or forecast college expenses and savings. All of this and more is possible when you master functions and formulas in Excel. Although it covers the latest software version, Excel 2019, the techniques and functions described in this book can be used on any version of Excel.
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Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.
Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math, you'll explore standard computer science algorithms for searching, sorting, and optimization; human-based algorithms that help us determine how to catch a baseball or eat the right amount at a buffet; and advanced algorithms like ones used in machine learning and artificial intelligence.
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"A deft, informative, and often screamingly funny primer on the ways that machine learning can (and often does) go wrong." —Margaret Harris, Physics World
“You look like a thing and I love you” is one of the best pickup lines ever… according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular AI Weirdness blog. Shane creates silly AIs that learn how to name colors of paint, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our human lives
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From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence
While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field--a one-stop-shop for AI's past, present, and world-changing future.
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Dr. Kai-Fu Lee-one of the world's most respected experts on AI and China-reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.
In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs.
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Jeff Lawson, software developer turned CEO of Twilio, shares a new approach for winning in the digital era: unleash the creativity and productivity of the 25 million most important workers in the digital economy, software developers.
the Ask Your Developer mindset enables companies to take advantage of an underutilized asset, unleash tremendous untapped creativity and brainpower inside their software teams, recruit and retain the best talent, and integrate developers into everyday decisions.
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Wired editor Alex Davies tells the dramatic, colorful story of the quest to develop driverless cars—and the fierce competition between Google, Uber, and other companies in a race to revolutionize our lives.
The self-driving car has been one of the most vaunted technological breakthroughs of recent years. But early promises that these autonomous vehicles would soon be on the roads have proven premature. Alex Davies follows the twists and turns of this story from its origins to today.
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An introduction to the Racket functional programming language and DrRacket development environment to explore topics in mathematics (mostly recreational) and computer science.
At last, a lively guided tour through all the features, functions, and applications of the Racket programming language. You’ll learn a variety of coding paradigms, including iterative, object-oriented, and logic programming; create interactive graphics, draw diagrams, and solve puzzles as you explore Racket through fun computer science topics from statistical analysis to search algorithms, the Turing machine, and more.
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Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question: How far will we let it go?
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Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing to become a true data ninja.
In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs.
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