Computer Science Technology

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

In 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. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Sensational media reports speculate about the "rise of the machines" but fail to see that there's no real intelligence in AI. It is not an all-seeing master, but rather a functional tool that must combine with the intelligence we possess to be effective. With The AI Republic, Terence Tse, Mark Esposito, and Danny Goh have not written a book for coders, but for everyone curious about a future shaped by AI. They demystify this life-changing technology and explain how we can build a shared space where humans and intelligent automation work together.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

Take 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. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.

In the fast-paced world of oil and gas pipelines, innovation is key. With the PHMSA Mega Rule reshaping the industry, companies need cutting-edge solutions to stay compliant, safe, and efficient. This audiobook is your essential guide to leveraging GIS technology to meet these new challenges and elevate your operations. This comprehensive guide explores the integration of Virtual GIS with advanced technologies to enhance compliance, safety, and efficiency in pipeline operations.

AI Revolution 2023: Harnessing Artificial Intelligence for Profitable Startups and Business Success is a thorough exploration of the profound impact artificial intelligence (AI) is making in the business world.

Hoy en día, el mundo se vacía de cosas y se llena de información inquietante como voces sin cuerpo. La digitalización desmaterializa y descorporeíza el mundo. En lugar de guardar recuerdos, almacenamos inmensas cantidades de datos. Los medios digitales sustituyen así a la memoria, cuyo trabajo hacen sin violencia ni demasiado esfuerzo. La información falsea los acontecimientos.

Baby Zeke and Harold are on their way to the End. Herobrine's minion ordered them to kill the Ender King. If they don't, the minion has promised to kill Zeke and Harold's friends! Zeke and Harold are in an impossible situation. Can they find a way out? Or, will this be Herobrine's finest hour?

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

In late 2010, thousands of hacktivists joined a mass digital assault by Anonymous on the websites of VISA, MasterCard, and PayPal to protest their treatment of WikiLeaks. Splinter groups then infiltrated the networks of totalitarian governments in Libya and Tunisia, and an elite team of six people calling themselves LulzSec attacked the FBI, CIA, and Sony. They were flippant and taunting, grabbed headlines, and amassed more than a quarter of a million Twitter followers.

Through narratives and case studies spanning the brilliant history of engineering, Madhavan shows how the concepts of prototyping, efficiency, reliability, standards, optimization, and feedback are put to use in fields as diverse as transportation, retail, health care, and entertainment. Equal parts personal, practical, and profound, Applied Minds charts a path to a future where we apply strategies borrowed from engineering to create useful and inspired solutions to our most pressing challenges.

If a strange person asks to be your online friend, do you know what to do? Don’t worry if you don’t. This book is here to help! Learn tech-savvy ways to keep your social networking sites safe without taking away all the fun!

In our rapidly evolving digital age, where reality often intertwines with the virtual, a question emerges: could our very existence be a part of a grander digital construct? "Simulation Theory for Beginners" dives headfirst into this profound question, exploring the enigmatic simulation hypothesis in depth.

This book will open your eyes to the pitfalls of perception, and help you build a foundation for trust that elevates organizational performance... so you can make your data and AI initiatives succeed where others fail. Data, Strategy, Culture & Power is a must-listen for anyone who works with (or uses) data, analytics, and AI in today's complex organizations.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.