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Navarro R: Work Reimagined

Work Reimagined

The AI Era

A NEW YORK TIMES &amp; SUNDAY TIMES BESTSELLER 'Extraordinary... beautifully written, clear-eyed and engaged in the deepest ethical questions of our day' Rory Stewart 'Mallaby has done full justice to his kaleidoscopically interesting subject ... expertly structured and vividly reported, the book presents the most insightful portrait of Hassabis to date' Financial Times A revelatory portrait of the visionary behind Google DeepMind, the race to control the future - and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

A frank, hands-on guide to using AI at work, unpacking for the curious and skeptical alike the “24 Laws” of AI and revealing strategies that businesses of every size can use to free up time, innovate, and add to the bottom line—from a Wall Street Journal tech columnist “The antidote to AI panic. Read it. You’ll breathe easier.”—Scott Galloway, NYU Stern School of Business professor and co-host of Pivot with Kara Swisher “A clear, practical, and hype-free guide to the AI revolution that will resonate with anyone trying to figure out the how to make AI deliver real value.”—Ethan Mollick, Wharton professor and New York Times bestselling author of Co-Intelligence AI is nothing to be afraid of. After all, AI is merely software. It’s great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them job security, and boosting their income. In How to AI, Wall Street Journal columnist Christopher Mims introduces readers to people just like them who are at the forefront of using AI in the world of work. Imagine a freelance lawyer who suddenly has a whip-smart assistant to help her nail every deposition. Or a mom-and-pop contractor whose new software tool is automating construction bids that used to eat up hundreds of hours. But even as half a billion people around the world have leapt at the chance to use ChatGPT and other tools, millions of us have stayed on the sidelines. Are you one of them? Maybe you feel you should be using AI tools, but you don’t know where to begin. Or maybe you love AI but find yourself struggling to get your co-workers or employees on board. In How to AI, Mims teaches readers twenty-four simple but eye-opening “laws” about AI and how we should approach it, including: • AI is an assistant, not a replacement. • AI isn’t creative, but it can help you be. • Give AI your least favorites things to do. • AI can’t create finished products, but it’s great at prototypes. Animated by the wit and brilliant explanatory power that have earned Mims’s Wall Street Journal columns a devoted following, How to AI will prepare readers to become a part of the AI revolution—and, most important, arm them with the tools to make it work for them.

A frank, hands-on guide to using AI at work, unpacking for the curious and skeptical alike the “24 Laws” of AI and revealing strategies that businesses of every size can use to free up time, innovate, and add to the bottom line—from a Wall Street Journal tech columnist “The antidote to AI panic. Read it. You’ll breathe easier.”—Scott Galloway, NYU Stern School of Business professor and co-host of Pivot with Kara Swisher “A clear, practical, and hype-free guide to the AI revolution that will resonate with anyone trying to figure out the how to make AI deliver real value.”—Ethan Mollick, Wharton professor and New York Times bestselling author of Co-Intelligence AI is nothing to be afraid of. After all, AI is merely software. It’s great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them job security, and boosting their income. In How to AI, Wall Street Journal columnist Christopher Mims introduces readers to people just like them who are at the forefront of using AI in the world of work. Imagine a freelance lawyer who suddenly has a whip-smart assistant to help her nail every deposition. Or a mom-and-pop contractor whose new software tool is automating construction bids that used to eat up hundreds of hours. But even as half a billion people around the world have leapt at the chance to use ChatGPT and other tools, millions of us have stayed on the sidelines. Are you one of them? Maybe you feel you should be using AI tools, but you don’t know where to begin. Or maybe you love AI but find yourself struggling to get your co-workers or employees on board. In How to AI, Mims teaches readers twenty-four simple but eye-opening “laws” about AI and how we should approach it, including: • AI is an assistant, not a replacement. • AI isn’t creative, but it can help you be. • Give AI your least favorites things to do. • AI can’t create finished products, but it’s great at prototypes. Animated by the wit and brilliant explanatory power that have earned Mims’s Wall Street Journal columns a devoted following, How to AI will prepare readers to become a part of the AI revolution—and, most important, arm them with the tools to make it work for them.

Cut Through the Hype. Master the Basics. Transform Your Work

How to AI

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), enabling advanced applications such as machine translation, text summarization, and sentiment analysis. This book serves as a comprehensive guide for data scientists, machine learning engineers, and developers, offering foundational theory and practical skills to harness the power of LLMs for real-world problems. From understanding the fundamentals of LLMs to deploying them in cloud and open-source environments, this book equips readers with the essential knowledge to excel in modern NLP.


The book takes a hands-on approach, guiding readers through the end-to-end deployment of LLMs-from data collection and preprocessing to model training, evaluation, and real-time inference. Using popular frameworks like Amazon SageMaker and Hugging Face Transformers, you'll explore practical tasks such as text generation, classification, and named entity recognition. Additionally, it delves into industry use cases like customer support chatbots and content generation while addressing emerging trends, scaling techniques, and ethical considerations like bias and fairness in AI. This is your ultimate resource for mastering LLMs in production-ready environments.


You Will:


 Learn to implement cutting-edge NLP tasks such as text generation, sentiment analysis, and named entity recognition using AWS services and open-source tools like Hugging Face.

 Understand best practices for scaling and maintaining NLP models in production, focusing on real-time performance, monitoring, and iterative improvements.

 Practice techniques for training and optimizing LLMs, covering data preprocessing, hyperparameter tuning, and evaluation strategies.





This book is for: 


Data scientists, Machine learning engineers, and developers

Mastering LLMs and SLMs for Real-World NLP in Cloud and Open-Source

Practical Solutions for Modern NLP Challenges

Recursions

Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more "errant" truth?Errant Intelligence challenges the prevailing biological and individualistic interpretations of machine learning, arguing instead for a radical understanding of machine intelligence. The book embraces the deviations, inconsistencies, and "errant behaviour" as fundamental to the discovery of new knowledge, moving beyond the illusion of mere optimisation. Drawing on media theory, cybernetics, and a unique psychoanalytic lens, it explores the "technological unconscious" of machine learning. It traces the historical roots of AI, from early automatons and the Turing machine to natural language processing and contemporary machine learning systems. Challenging the idea of an autonomous, self-generating AI, the book exposes the hidden labour, assumed logics, and inherent biases that animate its operation. It re-evaluates computational thinking, insisting on its inherently social, collective, and symbolic character, and revealing how language and logical paradoxes are not obstacles but constitutive forces that shape intelligent machines.Errant Intelligence offers a vital new framework for understanding the profound co-evolution of human and machine learning. It's time to "unlearn" our assumptions and embrace the productive ambiguity and fallibility at the core of machine intelligence.

A Media Theory of Machine Learning

Errant Intelligence

ChatGPT - Das Praxisbuch - 2. Auflage 

 KI entwickelt sich überaus rasant weiter und bietet immer wieder neue Möglichkeiten und Anwendungen. In der zweiten, 
 komplett aktualisierten Auflage ihres erfolgreichen Praxisbuches
 führen Oliver Bock und Florian Knust die Leser wieder durch die faszinierende Welt von ChatGPT. Sie zeigen die neusten Trends und Fortschritte und bieten erneut einen umfassenden Überblick über die 
 Funktionen und Einsatzmöglichkeiten von ChatGPT. 

 Dieses Buch ist ein Must-have für jeden, der das volle Potenzial von ChatGPT ausschöpfen möchte. Mit Schritt-für-Schritt Anleitungen und 
 praxisnahen Beispielen
 machen die Autoren die komplexe Materie auch für Einsteiger verständlich. Der praktische Teil stellt verschiedene Nutzungsszenarien vor und zeigt, wie ChatGPT in den Alltag integriert werden kann.
 

 ¿ 
 Was du in diesem Buch lernst: 

 ¿ 
 ChatGPT sicher bedienen:
 Verständlicher Einstieg mit Praxisspielen, keine Vorkenntnisse nötig
 

 ¿ 
 15 sofort umsetzbare Schritt-für-Schritt-Anleitungen
 für Alltag, Job und Business
 

 ¿ 
 KI Assistenten:
 Dein persönliches CustomGPT - so geht's!
 

 ¿ 
 KI für Kreative:
 Mit DALL-E atemberaubende Bilder generieren (inkl. 24 Bilder Prompts)
 

 ¿ 
 Produktiver arbeiten:
 Von smarten E-Mail-Texten bis hin zu perfekten To-Do-Listen
 

 ¿ 
 Recht und Datenschutz:
 Mit Expertenwissen von Christian Solmecke sicher durch den KI-Dschungel und EU AI Act
 

 ¿ 
 KI-Updates für Käufer:
 Exklusive Tipps und neue KI-Trends gratis per E-Mail ¿
 Bonus:
 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)
 Für wen ist dieses Buch? 

 ¿ KI-Neulinge: Starte sofort - verständlich, praxisnah &amp; unterhaltsam!
 

 ¿ Profis &amp; Unternehmer: Automatisiere Aufgaben und steigere deine Effizienz!
 

 ¿ Kreative &amp; Content-Creator: Nutze KI für Texte, Bilder und mehr!
 

 ¿ Künstliche Intelligenz ist die Zukunft - steig jetzt ein und sei ganz vorne mit dabei!
 Aus dem Inhalt: 

 - ChatGPT: alles, was du wissen musst, um zu starten
 

 - Profi-Funktionen: erweiterte Techniken für fortgeschrittene Nutzer
 

 - Anwendungsbeispiele: 15 sofort umsetzbare Ideen für den Alltag
 

 - KI-Bilder mit DALL-E: Bilder generieren und erkennen mit künstlicher Intelligenz
 

 - CustomGPT: dein persönliches ChatGPT einrichten und nutzen
 

 - Bonus: 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)

ChatGPT - Das Praxisbuch - 2. Auflage 
 KI entwickelt sich Ã¼beraus rasant weiter und bietet immer wieder neue MÃ¶glichkeiten und Anwendungen. In der zweiten, 
 komplett aktualisierten Auflage ihres erfolgreichen Praxisbuches
 fÃ¼hren Oliver Bock und Florian Knust die Leser wieder durch die faszinierende Welt von ChatGPT. Sie zeigen die neusten Trends und Fortschritte und bieten erneut einen umfassenden Ãœberblick Ã¼ber die 
 Funktionen und EinsatzmÃ¶glichkeiten von ChatGPT. 
 Dieses Buch ist ein Must-have fÃ¼r jeden, der das volle Potenzial von ChatGPT ausschÃ¶pfen mÃ¶chte. Mit Schritt-fÃ¼r-Schritt Anleitungen und 
 praxisnahen Beispielen
 machen die Autoren die komplexe Materie auch fÃ¼r Einsteiger verstÃ¤ndlich. Der praktische Teil stellt verschiedene Nutzungsszenarien vor und zeigt, wie ChatGPT in den Alltag integriert werden kann.
 
 ðŸ“Œ 
 Was du in diesem Buch lernst: 
 âœ… 
 ChatGPT sicher bedienen: 
 VerstÃ¤ndlicher Einstieg mit Praxisspielen, keine Vorkenntnisse nÃ¶tig
 
 âœ… 
 15 sofort umsetzbare Schritt-fÃ¼r-Schritt-Anleitungen
 fÃ¼r Alltag, Job und Business
 
 âœ… 
 KI Assistenten:
 Dein persÃ¶nliches CustomGPT â€“ so gehtâ€™s!
 
 âœ… 
 KI fÃ¼r Kreative:
 Mit DALL-E atemberaubende Bilder generieren (inkl. 24 Bilder Prompts)
 
 âœ… 
 Produktiver arbeiten:
 Von smarten E-Mail-Texten bis hin zu perfekten To-Do-Listen
 
 âœ… 
 Recht und Datenschutz:
 Mit Expertenwissen von Christian Solmecke sicher durch den KI-Dschungel und EU AI Act
 
 âœ… 
 KI-Updates fÃ¼r KÃ¤ufer:
 Exklusive Tipps und neue KI-Trends gratis per E-Mail ðŸ“©
 Bonus:
 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)
 FÃ¼r wen ist dieses Buch? 
 ðŸ”¹ KI-Neulinge: Starte sofort â€“ verstÃ¤ndlich, praxisnah &amp; unterhaltsam!
 
 ðŸ”¹ Profis &amp; Unternehmer: Automatisiere Aufgaben und steigere deine Effizienz!
 
 ðŸ”¹ Kreative &amp; Content-Creator: Nutze KI fÃ¼r Texte, Bilder und mehr!
 
 ðŸ’¡ KÃ¼nstliche Intelligenz ist die Zukunft â€“ steig jetzt ein und sei ganz vorne mit dabei!
 Aus dem Inhalt: 
 - ChatGPT: alles, was du wissen musst, um zu starten
 
 - Profi-Funktionen: erweiterte Techniken fÃ¼r fortgeschrittene Nutzer
 
 - Anwendungsbeispiele: 15 sofort umsetzbare Ideen fÃ¼r den Alltag
 
 - KI-Bilder mit DALL-E: Bilder generieren und erkennen mit kÃ¼nstlicher Intelligenz
 
 - CustomGPT: dein persÃ¶nliches ChatGPT einrichten und nutzen
 
 - Bonus: 50 getestete Power-Prompts aus allen Bereichen (Texte schreiben, Social Media, Marketing, Schule ...)

Prompts, Texten, Ki Bilder, Social Media - mit vielen KI-Praxisbeispielen - Steigere deine Produktivität mit KI - für Einsteiger und Profi geeignet

ChatGPT - Das Praxisbuch - 2. Auflage -

With its groundbreaking approach to financial management under dynamic conditions, this book equips readers with a new perspective on financial systems, moving beyond classical models to embrace the inherent uncertainties of markets.

The CFO’s Survival Kit for an Uncertain World

Quantum Finance

Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time-fast, private, and reliable even when the network disappears.This book is your practical guide to building exactly those kinds of systems with the Raspberry&nbsp;Pi AI&nbsp;HAT+ and the Hailo-8L accelerator. You'll start with clear foundations: core&nbsp;AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge&nbsp;AI from cloud AI-plus an honest look at ethical considerations and future impacts.Then it's straight to hands-on physical computing. Step by step, you'll set up Raspberry&nbsp;Pi&nbsp;OS, power and cooling, and develop in Python using the Thonny&nbsp;IDE. You'll learn GPIO basics with lights and servos, mount the AI&nbsp;HAT+ hardware, install and verify the Hailo software stack, and connect the right camera-official modules or USB webcams, even multiple cameras.From your first pipeline to real projects, you'll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You'll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm.With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge&nbsp;AI from buzzword into buildable reality.

AI Projects for the Raspberry Pi with the AI HAT+

Edge AI Made Practical

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

A Comprehensive Introduction

Financial Technology

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

Palgrave Studies in Accounting and Finance Practice

This book is a comprehensive guide designed for professionals in high-risk sectors, bridging the gap between traditional auditing methods and the modern digital landscape. This book offers innovative solutions, practical Python coding exercises, and real-world scenarios, equipping readers with invaluable insights into fraud analytics. Tailored for internal auditors, data scientists, and analysts, it's an essential resource for navigating the complexities of fraud in the digital era.

Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age

Fraud Analytics in Action

Work Reimagined

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