Machine Learning Systems

The 13 chapters of The Art of War, each devoted to one aspect of warfare, were compiled by the high-ranking Chinese military general, strategist, and philosopher Sun-Tzu. In spite of its battlefield specificity, The Art of War has found new life in the modern age, with leaders in fields as wide and far-reaching as world politics, human psychology, and corporate strategy finding valuable insight in its timeworn words.

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.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Hugh Howey is known for crafting riveting and immersive tales of boundless imagination. Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and 15 additional stories collected here for the first time. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note.

In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

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.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Algo trading and strategy development is hard, no question. But, does it really have to be so hard? The answer is "NO!" - if you follow the right approach, and get the right advice. Enter Champion Algo Trader Kevin Davey, and his book "Algo Trading Cheat Codes." In this groundbreaking book, Kevin reveals results of his research over millions of strategy backtests. He provides 57 "cheat codes" - tips you can use to build algo strategies faster and with more confidence. Some of the questions answered in this book: Is algo trading getting harder, and if so, what specific things can you do to ...

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

Dive into the fascinating world of Chaos Theory with the groundbreaking new eBook, "Chaos Theory and its Applications"! This captivating guide will take you on a journey to explore the profound impact of chaos and its limitless applications across various domains. The book's 20 comprehensive chapters unravel the secrets of chaos, leaving no stone unturned. Whether you're a seasoned expert or a curious novice, this page-turner will provide you with an awe-inspiring reading experience. Embark on this enthralling escapade with an in-depth look at the Butterfly Effect, understanding how simple ...

This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all-encompassing with accurate and concise principles of machine learning.

¿Está usted confundido acerca del furor que existe detrás de la inteligencia artificial y le gustaría aprender más? Este audiolibro lo abarca todo, desde el aprendizaje automático hasta la robótica y el Internet de las cosas. Usted puede usarlo como una guía útil cuando se encuentre con titulares de noticias que hablan de un nuevo avance en la inteligencia artificial por parte de Google o Facebook. Será consciente de lo que son las redes neuronales artificiales, cómo funcionan el descenso de gradiente y la propagación hacia atrás, y qué es el aprendizaje profundo.

Do you know how to build a machine learning algorithm in Python? Have you learned how to build a neural network in Python? If you have listened to the first three audiobooks in the series, you will know how to do both those things. If you want to learn more about the concepts related to machine learning and some subjects and concepts that are linked to machine learning, you have come to the right place.

If you need a go-to guide with numerous examples and coded programs, Python Machine Learning will be the answer. If you want to train your own models and enhance them to achieve your demand, Python Machine Learning is the exact tool. Do you want to train the machines and model to carry out complex jobs with accurate date and predictions in a more efficient way? Do you want to have a quick start in the right direction to enter into the Python world?

Step into the revolutionary world where quantum computing reshapes the landscape of global finance. "Quantum Economics: The Future of Financial Systems" offers a thrilling exploration of how cutting-edge quantum technology is poised to transform every aspect of our financial world, from intricate economic models to lightning-fast trading algorithms and ironclad financial security. Unlock the Power of Quantum Finance: Quantum Computing Fundamentals: Grasp the essentials of qubits, superposition, and entanglement, and how they're set to revolutionize data processing in finance. Redefining ...

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it? If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

This book serves as a comprehensive guide for individuals preparing for interviews in the field of prompt systems. It covers various roles within the prompt system domain, providing insights and practical information for each. Readers will explore the responsibilities of a prompt system architect, who designs and oversees the architecture, ensuring scalability and reliability. The book also delves into prompt system development, discussing coding, software optimization, module integration, and the implementation of prompt algorithms. Additionally, readers will gain an understanding of the ...