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Code: The Hidden Language of Computer Hardware and Software (Deve...
by Charles Petzold

Language

English

Pages

400

Publication Date

October 11, 2000

Product Description
Customer Reviews
<p>What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. <br /> Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. <br /> It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.
Don't Make Me Think, Revisited: A Common Sense Approach to Web Us...
by Steve Krug

Language

English

Pages

210

Publication Date

December 23, 2013

Product Description
Customer Reviews
Since<i> Don’t Make Me Think </i>was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug’s guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it’s one of the best-loved and most recommended books on the subject.<br /> <br />Now Steve returns with fresh perspective to reexamine the principles that made<i> Don’t Make Me Think</i> a classic–with updated examples and a new chapter on mobile usability. And it’s still short, profusely illustrated…and best of all–fun to read.<br /> <br />If you’ve read it before, you’ll rediscover what made <i>Don’t Make Me Think</i> so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.<br /> <br /> <br />“After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book.”<br />–Jeffrey Zeldman, author of Designing with Web Standards <p style="margin: 0px;"> </p>
The Definitive Guide to DAX: Business intelligence for Microsoft ...
by , Alberto Ferrari

Language

English

Pages

768

Publication Date

July 02, 2019

Product Description
Customer Reviews
<p>Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code. This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX’s remarkable capabilities? This no-compromise “deep dive” is exactly what you need.</p> <p> <br /> </p> <p>Perform powerful data analysis with DAX for Power BI, SQL Server, and Excel</p> <p>·         Master core DAX concepts, including calculated columns, measures, and calculation groups</p> <p>·         Work efficiently with basic and advanced table functions</p> <p>·         Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions</p> <p>·         Perform time-based calculations</p> <p>·         Use calculation groups and calculation items</p> <p>·         Use syntax of variables (VAR) to write more readable, maintainable code</p> <p>·         Express diverse and unusual relationships with DAX, including many-to-many relationships and bidirectional filters</p> <p>·         Master advanced optimization techniques, and improve performance in aggregations</p> <p>·         Optimize data models to achieve better compression</p> <p> </p> <p>·         Measure DAX query performance with DAX Studio and learn how to optimize your DAX </p>
Coding: 3 Manuscripts in 1 book : - Python For Beginners - Python...
by Timothy C. Needham

Language

English

Pages

434

Publication Date

October 16, 2018

Product Description
Customer Reviews
<H1>This Box Includes 4 Manuscripts in 1 book:</H1><br /><br /><br /><H2>- Python For Beginners: A Crash Course Guide To Learn Python in 1 Week </H2><br /><br /><br /><H2>- Python 3 Guide: A Beginner Crash Course Guide to Learn Python 3 in 1 Week </H2><br /><br /><br /><H2>- Learn Java: A Crash Course Guide to Learn Java in 1 Week </H2><br /><br /><br /><br /><br /><br /><br /><H2>Python For Beginners: A Crash Course Guide To Learn Python in 1 Week </H2><br />Here what you'll learn after downloading this Python for Beginners book:<br /><br /><br />✓Introduction<br />✓Chapter 1: Python: A Comprehensive Background <br />✓Chapter 2: How to Download and Install Python<br />✓Chapter 3: Python Glossary<br />✓Chapter 4: Interacting with Python<br />✓Chapter 5: Using Turtle for a Simple Drawing<br />✓Chapter 6: Variables<br />✓Chapter 7: Loops<br />✓Chapter 8: Native Python Datatypes<br />✓Chapter 9: Python Dictionaries<br />✓Chapter 10: Boolean Logic and Conditional Statements<br />✓Chapter 11: Constructing ‘While’ Loops In Python<br />Chapter 12: Constructing ‘For Loops’ In Python Programming<br />✓Chapter 13: Constructing Classes and Defining Objects<br /><br /><br /><br /><br />This Book Is Perfect For:<br /><br /><br />✓- Total beginners with zero programming experience <br />✓- Returning professionals who haven’t written code in years<br />✓- Seasoned professionals looking for a fast, simple, crash course in Python <br /><br /><br /><br /><br /><br /><br /><br /><br /><H2>Python 3 Programming: A Beginner Crash Course Guide to Learn Python </H2><br /><br /><br />The book is updated to the latest version of Python 3 and the main topics of what the book will be about include:<br /><br /><br />- An Introduction to Python<br />- How to Design a Software<br />- Learn How to Create Data Types and Variables <br />- Conditional Statements<br />- Create and modify Data Structures in Python<br />- Manipulate and Working with Strings<br />- How to Use Files<br />- Automate Coding Tasks By Building Custom Python Functions<br />- Solutions<br /><br /><br /><br /><br /><br /><br /><H2>Learn Java: A Crash Course Guide to Learn Java in 1 Week</H2><br /><br /><br />The book is updated to the latest Java versions (8 and 10) and the main topics of what the book will be about include:<br /><br /><br />• The fundamentals of Java<br />• How to program the right way, cutting out the useless fluff!<br />• Use arrays and classes for managing program data.<br />• Write programs that use loops to perform repetitive tasks.<br />• Design and write procedural programs that use methods.<br />• Understanding Java Variables, Arrays, Loops, and Conditional Statements<br />• Use if and switch statements to make decisions in your programs.<br />• Learn the concept of Object Oriented Programming (from fundamentals to advanced)<br />• How to understand and write simple Java programs<br />• And much, much more! Let’s begin our learning.<br /><br /><br /><br /><br /><br /><br /><H2>Get your copy today!</H2>
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Conce...
by Aurélien Géron

Language

English

Pages

576

Publication Date

March 13, 2017

Product Description
Customer Reviews
<div><p><b>Graphics in this book are printed in black and white</b>.</p><p>Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.</p><p>By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.</p><ul><li>Explore the machine learning landscape, particularly neural nets</li><li>Use scikit-learn to track an example machine-learning project end-to-end</li><li>Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods</li><li>Use the TensorFlow library to build and train neural nets</li><li>Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning</li><li>Learn techniques for training and scaling deep neural nets</li><li>Apply practical code examples without acquiring excessive machine learning theory or algorithm details</li></ul></div>
EXCEL 2019: A Comprehensive Beginners Guide to Learn Excel 2019 S...
by Alexander Cane

Language

English

Pages

119

Publication Date

July 20, 2019

Product Description
Customer Reviews
<p><b>A Direct No-Nonsense Guide to Learning Excel</b></p><br /><p>The Excel 2019 Guide has everything you need to get started in creating and making the most out of your spreadsheets. </p><br /><p>This book is designed for Excel 2019 users of all levels. May you be new to working on data or are already knowledgeable in handling different kinds of spreadsheet work, then this book is for you.</p><br /><p>Many people are overwhelmed by the powers of Excel, but these can be easily manipulated to your advantage, and this book helps you do just that. With this guide you can start playing with the program’s different functions such as:</p><br /><ul><br /><li>Creating, naming and formatting worksheets</li><br /><li>Freeze, unfreeze, hide, and protect rows and columns</li><br /><li>Using and customizing AutoFill and Flash Fill functions for routine tasks</li><br /><li>Move, copy, and format data</li><br /><li>Create formulas and come up with specific calculations</li><br /><li>Sort, filter, and pivot data for easier but reliable analysis</li><br /><li>Create charts out of your data</li><br /><li>Secure your workbook with passwords and restrictions for different users</li><br /><li>Use other Excel features for math, statistical, financial, and other advanced computations</li><br /></ul><br /><p>Let Excel be your new best friend. Click the BUY NOW BUTTON to get your copy today!</p><br /><br />
Swipe to Unlock: The Primer on Technology and Business Strategy
by , Neel Mehta

Language

English

Pages

345

Publication Date

September 19, 2017

Product Description
Customer Reviews
<b>Authored by 3 Product Managers at Google, Facebook, and Microsoft, </b><i>Swipe to Unlock</i> is a comprehensive guide on the must-know concepts of technology and business strategy. <b>It is a must-read for anyone pursuing product management, design, marketing, consulting or business strategy roles in the tech industry.</b><br /><br />***Swipe to Unlock was updated in 2019 to <b>include over 40 pages of new content</b> to cover the latest developments in the world of tech.***<b> We highly recommend buying our book directly from Amazon rather than a third-party seller as it's the only way to ensure you get the latest version.</b><br /><br />This <b>#1 Amazon Business Bestseller won a medal </b>from the <b>North American Book Awards</b> and has been featured in <b>The Wall Street Journal</b>, <b>Forbes</b>, and <b>Business Insider. </b><i>Swipe to Unlock</i> was touted as <b>"our generation's Rosetta Stone for enabling anyone to peer into the technology changing everyday life"</b> by Jeremy Schifeling.<br /><ul><li>How does Spotify determine what songs to recommend to you?</li><li>How did KaiOS become the third largest mobile operating system in just two years since launching?</li><li>Why does Amazon offer free shipping with Prime if it loses them money?</li><li>How did a single typo take down 20% of the internet?</li><li>Why did Microsoft acquire LinkedIn?</li></ul>By answering real-world questions like this, <b><i>Swipe to Unlock</i> gives you a peek under the hood of the technology you use every day, decodes tech's biggest buzzwords, and shows you how technology is changing the society we live in for better or for worse.</b><br /><br /><b>Topics Covered: </b>Software Development, Business Models & Strategies, Economics, Hacking & Security, Hardware & Robots, The Internet, Cloud Computing, Big Data, Technology Policy, Emerging Markets, Future Trends, and much more!<br /><br /><b>Featured Companies: </b>Google, Facebook, Microsoft, Amazon, Apple, Spotify, Uber, WeChat, Yelp, Tinder, Washington Post, Grab, Toyota, GoJek, Samsung, Salesforce, M-Pesa, Quora, KaiOS, Twitter, Tesla, ByteDance, Airbnb, Robinhood, Adobe, Alibaba, Netflix, Paytm, Target, and many more!<br /><br /><b>Unlock the answers you need to ace your tech interviews or become a better-educated digital citizen. Buy Swipe to Unlock today to understand why it's a Top Gifted Book of 2018!</b><br />
Generative Deep Learning: Teaching Machines to Paint, Write, Comp...
by David Foster

Language

English

Pages

330

Publication Date

June 28, 2019

Product Description
Customer Reviews
<div><p>Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.</p><p>Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative.</p><ul><li>Discover how variational autoencoders can change facial expressions in photos</li><li>Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation</li><li>Create recurrent generative models for text generation and learn how to improve the models using attention</li><li>Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting</li><li>Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN</li></ul></div>
Weapons of Math Destruction: How Big Data Increases Inequality an...
by Cathy O'Neil

Language

English

Pages

254

Publication Date

September 06, 2016

Product Description
Customer Reviews
<b><i>Longlisted for the National Book Award<br /></i>New York Times <i>Bestseller</i><br /><br />A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric</b><br /><br />We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.<br /><br />But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.<br /><br />Tracing the arc of a person’s life, O’Neil exposes the black box models that shape our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.<br /><br />O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it’s up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.<br /><br />— Longlist for National Book Award (Non-Fiction)<br />— Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)<br />— Kirkus, Best Books of 2016<br />— <i>New York Times,</i> 100 Notable Books of 2016 (Non-Fiction)<br />— <i>The Guardian</i>, Best Books of 2016<br />— WBUR's "On Point," Best Books of 2016: Staff Picks<br />— Boston Globe, Best Books of 2016, Non-Fiction
The Model Thinker: What You Need to Know to Make Data Work for Yo...
by Scott E. Page

Language

English

Pages

398

Publication Date

November 27, 2018

Product Description
Customer Reviews
<div><b>How anyone can become a data ninja</b><br /><br /> From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In <i>The Model Thinker</i>, 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. <i>The Model Thinker </i>provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.<br /><br /></div>

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