Computer Science Technology

Don't let this golden opportunity to unlock the mysterious power of AI for your marketing needs slip through your fingers. Delve into the future of digital marketing with Chat GPT Bible—Social Media Marketing Special Edition: Unveiling the Secrets of Powering Up Digital Marketing Strategies with AI-Generated Content. Grab your copy today, and start unveiling the secrets!

Mastering ChatGPT: A Comprehensive Guide to Using and Engineering Language Models for Natural Language Processing is a comprehensive guide to the cutting-edge technology of ChatGPT, the latest generation of GPT models. This book covers everything from understanding the basics of GPT-3 and its capabilities to advanced techniques for prompt engineering, fine-tuning for specific tasks, and utilizing GPT-3's built-in controllers and advanced features.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

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.

A compelling look inside the Space Shuttle missions that helped lay the groundwork for the Space Age, Shuttle, Houston explores the determined personalities, technological miracles, and 11th-hour saves that have given us human spaceflight. Relaying stories of missions (and their grueling training) in vivid detail, Paul Dye, NASA's longest-serving flight director, examines the split-second decisions that the directors and astronauts were forced to make in a field where mistakes are unthinkable and errors led to the loss of national resources - and more importantly one's crew.

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?

With security scares like the Heartbleed bug (which compromised even supposedly safe internet behemoths like Google and Yahoo!) becoming more commonplace, this book is a must-listen for anybody who values their privacy in a wired world.

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.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

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.

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.

In this book, I'll break down the complexities of AI into understandable, easy-to-apply concepts that anyone can grasp. Whether you are an entrepreneur, freelancer, student, or a nine-to-five employee, this book can help you adapt and know how to monetize. We provide different business examples, where you can use AI to scale quickly.

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.

Now, in the first book ever written about this ultrasecretive department, the former director of OTS teams up with an internationally renowned intelligence historian to give listeners an unprecedented look at the devices and operations deemed "inappropriate for public disclosure" by the CIA just two years ago.