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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlo...
by Aur茅lien G茅ron

Language

English

Pages

856

Publication Date

September 05, 2019

Product Description
Customer Reviews
<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鈥擲cikit-Learn and TensorFlow鈥攁uthor Aur茅lien G茅ron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You鈥檒l 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鈥檝e 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></ul>
Swipe to Unlock: The Primer on Technology and Business Strategy
by , Neel Mehta

Language

English

Pages

347

Publication Date

September 19, 2017

Product Description
Customer Reviews
<b>Authored by 3 Product Managers at Google, Facebook, and Microsoft,聽</b><i>Swipe to Unlock</i>聽is a comprehensive guide on the must-know concepts of technology and business strategy.聽<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聽<b>#1 Amazon Business Bestseller won a medal聽</b>from the聽<b>North American Book Awards</b> and has been featured in聽<b>The Wall Street Journal</b>, <b>Forbes</b>,聽and聽<b>Business Insider.聽</b><i>Swipe to Unlock</i> was touted as聽<b>"our generation's Rosetta Stone for enabling anyone to peer into the technology changing everyday life"</b>聽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,聽<b><i>Swipe to Unlock</i>聽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:聽</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:聽</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 />
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鈥檛 Make Me Think </i>was first published in 2000, hundreds of thousands of Web designers and developers have relied on usability guru Steve Krug鈥檚 guide to help them understand the principles of intuitive navigation and information design. Witty, commonsensical, and eminently practical, it鈥檚 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鈥檛 Make Me Think</i> a classic鈥搘ith updated examples and a new chapter on mobile usability. And it鈥檚 still short, profusely illustrated鈥nd best of all鈥揻un to read.<br /> <br />If you鈥檝e read it before, you鈥檒l rediscover what made <i>Don鈥檛 Make Me Think</i> so essential to Web designers and developers around the world. If you鈥檝e never read it, you鈥檒l see why so many people have said it should be required reading for anyone working on Web sites.<br /> <br /> <br />鈥淎fter 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.鈥?lt;br />鈥揓effrey Zeldman, author of Designing with Web Standards <p>聽</p>
Database Internals: A Deep Dive into How Distributed Data Systems...
by Alex Petrov

Language

English

Pages

376

Publication Date

September 13, 2019

Product Description
Customer Reviews
<p>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鈥檚 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.</p><p>Throughout the book, you鈥檒l explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You鈥檒l discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.</p><p>This book examines:</p><ul><li><b>Storage engines:</b> Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each</li><li><b>Storage building blocks:</b> Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log</li><li><b>Distributed systems:</b> Learn step-by-step how nodes and processes connect and build complex communication patterns</li><li><b>Database clusters:</b> Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency</li></ul>
Code Complete (Developer Best Practices)
by Steve McConnell

Language

English

Pages

960

Publication Date

June 09, 2004

Product Description
Customer Reviews
<p>Widely considered one of the best practical guides to programming, Steve McConnell鈥檚 original CODE COMPLETE has been helping developers write better software for more than a decade. Now this classic book has been fully updated and revised with leading-edge practices鈥攁nd hundreds of new code samples鈥攊llustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking鈥攁nd help you build the highest quality code. <br /> Discover the timeless techniques and strategies that help you: <br /> <ul> <li>Design for minimum complexity and maximum creativity <li>Reap the benefits of collaborative development <li>Apply defensive programming techniques to reduce and flush out errors <li>Exploit opportunities to refactor鈥攐r evolve鈥攃ode, and do it safely <li>Use construction practices that are right-weight for your project <li>Debug problems quickly and effectively <li>Resolve critical construction issues early and correctly <li>Build quality into the beginning, middle, and end of your project </ul>
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聽鈥?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鈥攚here we go to school, whether we get a car loan, how much we pay for health insurance鈥攁re 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鈥橬eil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they鈥檙e wrong. Most troubling, they reinforce discrimination: If a poor student can鈥檛 get a loan because a lending model deems him too risky (by virtue of his zip code), he鈥檚 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 鈥渢oxic cocktail for democracy.鈥?Welcome to the dark side of Big Data.<br /><br />Tracing the arc of a person鈥檚 life, O鈥橬eil exposes the black box models that shape our future, both as individuals and as a society. These 鈥渨eapons of math destruction鈥?score teachers and students, sort r茅sum茅s, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.<br /><br />O鈥橬eil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it鈥檚 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 />鈥?Longlist for National Book Award (Non-Fiction)<br />鈥?Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology)<br />鈥?Kirkus, Best Books of 2016<br />鈥?<i>New York Times,</i> 100 Notable Books of 2016 (Non-Fiction)<br />鈥?<i>The Guardian</i>, Best Books of 2016<br />鈥?WBUR's "On Point," Best Books of 2016: Staff Picks<br />鈥?Boston Globe, Best Books of 2016, Non-Fiction
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鈥檚 ever wondered about the secret inner life of computers and other smart machines. <br /> It鈥檚 a cleverly illustrated and eminently comprehensible story鈥攁nd along the way, you鈥檒l discover you鈥檝e gained a real context for understanding today鈥檚 world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you鈥攁nd perhaps even awaken the technophile within.
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鈥檚 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鈥檒l 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鈥檚 remarkable capabilities? This no-compromise 鈥渄eep dive鈥?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>路聽聽聽聽聽聽聽聽 Master core DAX concepts, including calculated columns, measures, and calculation groups</p> <p>路聽聽聽聽聽聽聽聽 Work efficiently with basic and advanced table functions</p> <p>路聽聽聽聽聽聽聽聽 Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions</p> <p>路聽聽聽聽聽聽聽聽 Perform time-based calculations</p> <p>路聽聽聽聽聽聽聽聽 Use calculation groups and calculation items</p> <p>路聽聽聽聽聽聽聽聽 Use syntax of variables (VAR) to write more readable, maintainable code</p> <p>路聽聽聽聽聽聽聽聽 Express diverse and unusual relationships with DAX, including many-to-many relationships and bidirectional filters</p> <p>路聽聽聽聽聽聽聽聽 Master advanced optimization techniques, and improve performance in aggregations</p> <p>路聽聽聽聽聽聽聽聽 Optimize data models to achieve better compression</p> <p> </p> <p>路聽聽聽聽聽聽聽聽 Measure DAX query performance with DAX Studio and learn how to optimize your DAX聽</p>
Building Microservices: Designing Fine-Grained Systems
by Sam Newman

Language

English

Pages

280

Publication Date

February 02, 2015

Product Description
Customer Reviews
<p>Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices. But developing these systems brings its own set of headaches. With lots of examples and practical advice, this book takes a holistic view of the topics that system architects and administrators must consider when building, managing, and evolving microservice architectures.</p><p>Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You鈥檒l follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.</p><ul><li>Discover how microservices allow you to align your system design with your organization鈥檚 goals</li><li>Learn options for integrating a service with the rest of your system</li><li>Take an incremental approach when splitting monolithic codebases</li><li>Deploy individual microservices through continuous integration</li><li>Examine the complexities of testing and monitoring distributed services</li><li>Manage security with user-to-service and service-to-service models</li><li>Understand the challenges of scaling microservice architectures</li></ul>
Data Science from Scratch: First Principles with Python
by Joel Grus

Language

English

Pages

408

Publication Date

April 12, 2019

Product Description
Customer Reviews
<p>To really learn data science, you should not only master the tools鈥攄ata science libraries, frameworks, modules, and toolkits鈥攂ut also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.</p><p>If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today鈥檚 messy glut of data.</p><ul><li>Get a crash course in Python</li><li>Learn the basics of linear algebra, statistics, and probability鈥攁nd how and when they鈥檙e used in data science</li><li>Collect, explore, clean, munge, and manipulate data</li><li>Dive into the fundamentals of machine learning</li><li>Implement models such as k-nearest neighbors, Na茂ve Bayes, linear and logistic regression, decision trees, neural networks, and clustering</li><li>Explore recommender systems, natural language processing, network analysis, MapReduce, and databases</li></ul>

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