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My Instruments Lied to Me Six Times

Building and Testing LLM Systems in Production, and How to Find Out What Is Actually True

par Nikolaos Broikos ...

Lu par AI Voice A synthetic voice ...

Collection Livre audio 2.0 - Nobody Measured This
Version Longue

4 heure 27 min

This audiobook is narrated by an AI Voice. Six times during this programme, something the author had built reported a confident falsehood. Not one of the six was caught by a check he had written.One of them was the strongest finding in the entire project: a perfect result, every trial, in the direction the whole field expects. It was completely false, and the only thing that caught it was opening ... En savoir plus

10,29 € ou Gratuit avec Kobo Plus

This audiobook is narrated by an AI Voice. Six times during this programme, something the author had built reported a confident falsehood. Not one of the six was caught by a check he had written.One of them was the strongest finding in the entire project: a perfect result, every trial, in the direction the whole field expects. It was completely false, and the only thing that caught it was opening
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Machine Learning and Predictive Modeling

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par Chuck Sherman ...

Lu par Ray Collins ...

Version Longue

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Uncover the latest trends and technologies shaping the future of machine learning, including explainable AI, quantum machine learning, and federated learning. The book also delves into the ethical considerations surrounding AI, making it an essential resource for professionals navigating the ever-evolving landscape of data and technology."Machine Learning and Predictive Modeling: Turning Data into ... En savoir plus

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Uncover the latest trends and technologies shaping the future of machine learning, including explainable AI, quantum machine learning, and federated learning. The book also delves into the ethical considerations surrounding AI, making it an essential resource for professionals navigating the ever-evolving landscape of data and technology."Machine Learning and Predictive Modeling: Turning Data into
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Time Series Data Analysis

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par Brian Paul ...

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Version Longue

7 heure 56 min

From the fundamentals of time series components to the complexities of modern forecasting models, the book navigates through the nuances of stationarity, seasonality, and autocorrelation, equipping readers with the tools to identify and leverage patterns within time-dependent data. Through detailed exploration of data preparation, exploratory data analysis, and a variety of forecasting methods, ... En savoir plus

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From the fundamentals of time series components to the complexities of modern forecasting models, the book navigates through the nuances of stationarity, seasonality, and autocorrelation, equipping readers with the tools to identify and leverage patterns within time-dependent data. Through detailed exploration of data preparation, exploratory data analysis, and a variety of forecasting methods,
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"Low-Code Data Engineering: Building Data Solutions with Ease" is a comprehensive guide that explores the exciting world of low-code data engineering. In this book, you'll learn how to harness the power of low-code tools and platforms to build efficient data pipelines, transform data, and manage data storage with minimal manual coding.The book covers the fundamentals of data engineering and the
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Internet of Things (IoT)

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Version Longue

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In a world where technology intertwines seamlessly with our daily lives, the Internet of Things (IoT) has emerged as a transformative force, revolutionizing the way we interact with the world around us. "Internet of Things (IoT)" is an insightful exploration of the IoT and its advancements in communication protocols, illuminating the remarkable potential and impact this interconnected ecosystem ... En savoir plus

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Guide to Data Science and Machine Learning, A

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Data Analytics Unleashed: Turning Numbers Into Strategic Insights

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Data Aggregation

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This comprehensive guide demystifies the complex world of data aggregation, breaking down essential concepts and techniques into accessible, actionable content. From understanding the fundamentals of data aggregation to diving into advanced topics like real-time processing, cloud solutions, and the impact of emerging technologies, this book equips you with the knowledge to tackle data challenges
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The Secret Life of Data

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par Aram Sinnreich, Jesse Gilbert ...

Lu par Jonathan Todd Ross ...

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In The Secret Life of Data, Aram Sinnreich and Jesse Gilbert explore the many unpredictable, and often surprising, ways in which data surveillance, AI, and the constant presence of algorithms impact our culture and society in the age of global networks. The authors build on this basic premise: no matter what form data takes, and what purpose we think it’s being used for, data will always have a ... En savoir plus

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HBR's 10 Must Reads on Data Strategy

par Harvard Business Review ...

Lu par Randye Kaye, Walter Dixon ...

Version Longue

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Your data is your business. Is it supporting your strategy?Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk—and fall behind.If you read (or listen to) nothing else on setting a data ... En savoir plus

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Machine Learning Basics: A Practical, No-Math-PhD Guide to Core Concepts, Real-World Examples, and Your First Working Models

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Lu par Michael Carlsen ...

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Master artificial intelligence and data science fundamentals without drowning in complex math or academic jargon. Perfect for your daily commute, this empowering guide transforms intimidating tech concepts into accessible, career-boosting skills. Whether you are pivoting roles or leading a technical team, you will quickly build a rock-solid intuition for modern algorithms.Forget endless equations ... En savoir plus

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Data Science for Teens: A Friendly, Hands-On Guide to Coding, AI, and Real-World Projects

par Lucas Bernard ...

Lu par Lucas Bernard ...

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1 heures 49 min

Turn everyday curiosity into a powerful STEM advantage with this beginner-friendly guide to data science and AI. Perfect for the school commute or after-school study sessions, this empowering listen connects the apps you love to the algorithms that run them. Explore the digital world through an inspiring, relatable lens that makes complex tech completely accessible.Step into the role of a ... En savoir plus

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Data Mesh

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par Brian Paul ...

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In a world where data reigns supreme, organizations are grappling with the challenges posed by traditional data management approaches. "Unleashing the Power of Data Mesh" is your definitive guide to navigating this evolving landscape and harnessing the true potential of your data assets.This comprehensive book takes you on a transformative journey through the revolutionary paradigm of Data Mesh, a ... En savoir plus

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Data Lakes

A Comprehensive Guide to Design, Implementation, and Optimization

par Brian Paul ...

Lu par Ray Collins ...

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4 heure 27 min

In the era of big data, organizations are turning to data lakes as a powerful solution to store, manage, and derive valuable insights from vast and diverse datasets. "Data Lakes" is your essential guide to understanding, implementing, and optimizing data lakes for success in the complex landscape of data architecture."Data Lakes" is your indispensable companion on the quest to harness the ... En savoir plus

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In the era of big data, organizations are turning to data lakes as a powerful solution to store, manage, and derive valuable insights from vast and diverse datasets. "Data Lakes" is your essential guide to understanding, implementing, and optimizing data lakes for success in the complex landscape of data architecture."Data Lakes" is your indispensable companion on the quest to harness the
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Data Mining: A Practical Beginner’s Guide to Discovering Patterns, Predicting Behavior, and Turning Raw Information Into Insight

par Edward Fischer ...

Lu par Edward Fischer ...

Version Longue

1 heures 54 min

Master predictive analytics and turn raw data into smart business decisions without writing a single line of code. Whether upskilling on your morning commute or preparing to lead a tech initiative, this empowering guide demystifies artificial intelligence for non-programmers. Step confidently into the boardroom armed with a clear, analytical mindset.Stop feeling overwhelmed by technical jargon and ... En savoir plus

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Deep Learning for Beginners: 2 in 1

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Version Longue

7 heure 48 min

2 books in 1! This is the bundle of two successful books in the market.Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:• Deep learning utilizes frameworks which allow people to develop tools which are able to offer ... En savoir plus

12,76 € ou Gratuit avec Kobo Plus

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Data Mesh

Transforming Data Architecture for Decentralized and Scalable Insights

par Daniel Garfield ...

Lu par Ray Collins ...

Version Longue

4 heure 53 min

"Data Mesh: Transforming Data Architecture for Decentralized and Scalable Insights"In today's data-driven world, organizations are constantly seeking ways to extract meaningful insights from their ever-growing data volumes. Traditional centralized data architectures often struggle to keep up with the demands of scalability, agility, and distributed decision-making. Enter Data Mesh, a revolutionary ... En savoir plus

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Version Longue

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"Cloud Computing for Beginners" is your essential guide to navigating the dynamic world of cloud technology with confidence and clarity. This comprehensive beginner's manual offers a thorough exploration of the power and potential of cloud computing, providing readers with the knowledge and skills needed to harness its full capabilities.In this accessible and informative book, you'll embark on a ... En savoir plus

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Agile Data Scientist

Navigating the Data Landscape with Flexibility and Precision

par Daniel Green ...

Lu par Rayan Mitchell ...

Version Longue

4 heure 10 min

In an era where data is a driving force, adaptability is key. Explore the core tenets of Agile methodologies and discover how they seamlessly integrate into the realm of data science. Uncover the secrets of creating nimble, collaborative teams and learn how to harness the power of iterative development for maximum efficiency and precision.Dive deep into the Agile Data Scientist's toolbox, where ... En savoir plus

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Wolfram Language Tutorial

Step by Step Beginner’s Guidebook

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Lu par Digital Voice Alistair G ...

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Version Longue

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Transform predictive modeling into powerful decision-making with practical causal inference tools for real-world AI. Whether commuting to the office or deep in focused learning, this guide bridges the gap between correlation and true causation. Stop relying on naive analyses that fail when business strategies shift, and start engineering solutions that withstand complex interventions.Mastering ... En savoir plus

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Data Mining for Beginners: A Practical, No-Jargon Guide to Discovering Patterns, Making Predictions, and Turning Raw Data Into Real-World Decisions

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Lu par Nicholas Bauer ...

Version Longue

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Lu par Michael Harrington ...

Version Longue

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Boost your career and master data literacy by transforming confusing numbers into clear, actionable business insights. Whether you are upskilling for a promotion or simply trying to decode workplace metrics during your morning commute, this empowering guide makes complex concepts completely stress-free. Leave the heavy math and intimidating jargon behind as you learn to think like a professional ... En savoir plus

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Recommandé pour vous

Livres audio Traitement des données

My Instruments Lied to Me Six Times

Machine Learning and Predictive Modeling

Time Series Data Analysis

Low-code Data Engineering

Internet of Things (IoT)

Guide to Data Science and Machine Learning, A

Fog Computing

Data Analytics Unleashed: Turning Numbers Into Strategic Insights

Data Aggregation

The Secret Life of Data

HBR's 10 Must Reads on Data Strategy

Machine Learning Basics: A Practical, No-Math-PhD Guide to Core Concepts, Real-World Examples, and Your First Working Models

Data Science for Teens: A Friendly, Hands-On Guide to Coding, AI, and Real-World Projects

Data Mesh

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Data Mining: A Practical Beginner’s Guide to Discovering Patterns, Predicting Behavior, and Turning Raw Information Into Insight

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Cloud Computing for Beginners

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