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eBooks Traitement des données

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  • Python for Data Analysis

    Data Wrangling with pandas, NumPy, and Jupyter

    par Wes McKinney ...
    Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney ... En savoir plus

    CHF 39.49

  • Mastering Blockchain

    Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks

    par Imran Bashir ...
    Learn about cryptography and cryptocurrencies so you can build highly secure, decentralized applications and conduct trusted in-app transactionsKey Features\[\*\]Get to grips with the underlying technical principles and implementations of blockchain.\[\*\]Build powerful applications using Ethereum to secure transactions and create smart contracts.\[\*\]Explore cryptography, mine cryptocurrencies, ... En savoir plus

    CHF 39.70 ou Gratuit avec Kobo Plus

  • Invisible Women

    the Sunday Times number one bestseller exposing the gender bias women face every day

    par Caroline Criado Perez ...
    *THE SUNDAY TIMES NUMBER ONE BESTSELLER**A TIMES BEST BOOK OF THE 21st CENTURY**OVER A MILLION COPIES SOLD*Discover the shocking gender bias that affects our everyday lives in this groundbreaking gift of a book.'Nothing delights me more than a well-written and well-researched book that teaches you and never bores you' Chimamanda Ngozi Adichie'HELL YES. This is... ... En savoir plus

    CHF 12.00

  • SuperFreakonomics

    Global Cooling, Patriotic Prostitutes, and Why Suicide Bombers Should Buy Life Insurance

    par Steven D. Levitt, Stephen J. Dubner ...
    Freakonomics lived on the New York Times bestseller list for an astonishing two years. Now authors Steven D. Levitt and Stephen J. Dubner return with more iconoclastic insights and observations in SuperFreakonomics—the long awaited follow-up to their New York Times Notable blockbuster. Based on revolutionary research and original studies, SuperFreakonomics promises to once again challenge our view ... En savoir plus

    CHF 10.82

  • Kafka: The Definitive Guide

    Real-Time Data and Stream Processing at Scale

    par Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty ...
    Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient ... En savoir plus

    CHF 39.49

  • Visualizing Data

    Exploring and Explaining Data with the Processing Environment

    par Ben Fry ...
    Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.How do the 3.1 billion A, C, G and T letters ... En savoir plus

    CHF 18.56

  • Natural Language Processing with Transformers, Revised Edition

    par Lewis Tunstall, Leandro von Werra, Thomas Wolf ...
    Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library ... En savoir plus

    CHF 33.13

  • On Being a Data Skeptic

    par Cathy O'Neil ...
    "Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models ... En savoir plus

    Gratuit

  • How Data Happened

    A History from the Age of Reason to the Age of Algorithms

    par Chris Wiggins, Matthew L. Jones ...
    **“Fascinating.” —Jill Lepore, The New YorkerA sweeping history of data and its technical, political, and ethical impact on our world.**From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But ... En savoir plus

    CHF 10.56

  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    par Sebastian Raschka ...
    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... En savoir plus

    CHF 35.08 ou Gratuit avec Kobo Plus

  • Python in a Nutshell

    A Desktop Quick Reference

    par Alex Martelli, Anna Martelli Ravenscroft, Steve Holden, Paul McGuire ...
    Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.Carefully ... En savoir plus

    CHF 44.72

  • TinyML

    Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

    par Pete Warden, Daniel Situnayake ...
    Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can ... En savoir plus

    CHF 25.02

  • The AI Con

    How to Fight Big Tech’s Hype and Create the Future We Want

    par Emily M. Bender, Alex Hanna ...
    A smart, incisive take-down of so-called ‘artificial intelligence’, exposing the real harm these technologies do to our jobs, health, society and environment, who stands to gain from them, and how to fight back.‘You need to read this book’ BRIAN ENO‘Written with absolute authority and incredible wit and verve’ KAREN HAOHave tech companies created artificial minds? Are they going to replace all our ... En savoir plus

    Avant CHF 20.00 Après CHF 12.00

  • Designing Data-Intensive Applications

    The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

    par Martin Kleppmann, Chris Riccomini ...
    Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... En savoir plus

    CHF 34.87

  • Cloud Native Data Center Networking

    Architecture, Protocols, and Tools

    par Dinesh G. Dutt ...
    If you want to study, build, or simply validate your thinking about modern cloud native data center networks, this is your book. Whether you’re pursuing a multitenant private cloud, a network for running machine learning, or an enterprise data center, author Dinesh Dutt takes you through the steps necessary to design a data center that’s affordable, high capacity, easy to manage, agile, and ... En savoir plus

    CHF 29.64

  • Time Series Forecasting in Python

    par Marco Peixeiro ...
    Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.In Time Series Forecasting in Python you will learn how to:Recognize a time series forecasting problem and build a performant predictive modelCreate univariate forecasting models that account for seasonal effects and external variablesBuild ... En savoir plus

    CHF 57.00

  • Scaling Python with Dask

    From Data Science to Machine Learning

    par Holden Karau, Mika Kimmins ...
    Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including ... En savoir plus

    CHF 39.49

  • Think Bayes

    par Allen B. Downey ...
    If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real ... En savoir plus

    CHF 27.90

  • The Year in Tech, 2023: The Insights You Need from Harvard Business Review

    par Harvard Business Review, Beena Ammanath, Andrew Ng, Michael Luca, Bhaskar Ghosh ...
    Collection series HBR Insights Series
    A year of HBR's essential thinking on tech—all in one place.Easy-to-use AI tools, contactless commerce, crypto for business, the mature metaverse—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid ... En savoir plus

    CHF 13.43 ou Gratuit avec Kobo Plus

  • Fundamentals of Data Engineering

    Plan and Build Robust Data Systems

    par Joe Reis, Matt Housley ...
    Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle ... En savoir plus

    CHF 39.49

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    par Aurélien Géron ...
    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... En savoir plus

    CHF 44.72

  • Learning Informatica PowerCenter 10.x

    Enterprise data warehousing and intelligent data centers for efficient data management solutions

    par Rahul Malewar ...
    Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutionsKey Features\[\*\]Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach.\[\*\] An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer.\[\*\] A ... En savoir plus

    CHF 39.70 ou Gratuit avec Kobo Plus

  • Data Wrangling with Python

    Creating actionable data from raw sources

    par Dr. Tirthajyoti Sarkar, Shubhadeep Roychowdhury ...
    Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices.Key FeaturesFocus on the basics of data wranglingStudy various ways to extract the most out of your data in less timeBoost your learning curve with bonus topics like random data generation and data integrity checksBook DescriptionFor data to be useful and meaningful, it must be curated and refined. Data ... En savoir plus

    CHF 31.39 ou Gratuit avec Kobo Plus

  • The Economics of Data, Analytics, and Digital Transformation

    The theorems, laws, and empowerments to guide your organization's digital transformation

    par Bill Schmarzo ...
    Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine LearningKey FeaturesMaster the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindsetAcquire implementable knowledge on digital ... En savoir plus

    CHF 32.31 ou Gratuit avec Kobo Plus