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eBooks Traitement des données

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  • 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

  • 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

  • Wirtschaftsinformatik für Dummies

    Collection series Für Dummies
    Dieses Buch vermittelt Ihnen auf angenehme Weise alles Wichtige, was Sie über Wirtschaftsinformatik wissen müssen. Stephan Thesmann und Werner Burkard erklären Ihnen zunächst, welche Bedeutung die Informationstechnologie für die Gesellschaft und für Unternehmen hat. Schritt für Schritt durchleuchten sie die vielfältigen betrieblichen IT-Systeme und erklären Ihnen, wie IT-Management funktioniert, ... En savoir plus

    CHF 27.00

  • 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 38.67

  • Meganets

    How Digital Forces Beyond Our Control Commandeer Our Daily Lives and Inner Realities

    How the autonomous digital forces jolting our lives – as uncontrollable as the weather and plate tectonics – are transforming life, society, culture, and politics.David Auerbach’s exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from ... En savoir plus

    Avant CHF 16.00 Après CHF 14.00

  • Getting Started with SQL

    par Thomas Nield ...
    Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.Author Thomas Nield provides exercises throughout the ... En savoir plus

    CHF 16.51

  • Solidity Programming Essentials

    A beginner's guide to build smart contracts for Ethereum and blockchain

    par Ritesh Modi ...
    Learn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum. Key FeaturesGet you up and running with Solidity Programming languageBuild Ethereum Smart Contracts with Solidity as your scripting languageLearn to test and deploy the smart contract to your private BlockchainBook DescriptionSolidity is a ... En savoir plus

    CHF 27.69 ou Gratuit avec Kobo Plus

  • Deep Learning with PyTorch

    A practical approach to building neural network models using PyTorch

    Build neural network models in text, vision and advanced analytics using PyTorchKey FeaturesLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples;Book ... En savoir plus

    CHF 31.39 ou Gratuit avec Kobo Plus

  • Designing Cloud Data Platforms

    In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.SummaryCentralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to ... En savoir plus

    CHF 48.30

  • Beginning Data Science with Python and Jupyter

    Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

    par Alex Galea ...
    Getting started with data science doesn t have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.Key FeaturesGet up and running with the Jupyter ecosystem and some example datasetsLearn about key machine learning concepts like SVM, KNN classifiers and Random ForestsDiscover how you can use web ... En savoir plus

    CHF 13.64 ou Gratuit avec Kobo Plus

  • Hands-On Programming with R

    Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also ... En savoir plus

    CHF 18.25

  • Les data sciences en 100 questions/réponses

    + 2 études de cas commentées

    par Younes Benzaki ...
    Collection series Blanche
    Un livre à la fois théorique et pratiqueCet ouvrage a pour ambition de couvrir un large spectre du domaine des data sciences. Il va plus loin qu'un simple tour sur les algorithmes d'apprentissage automatique et s'attaque aux autres aspects, malheureusement négligés mais fondamentaux pour tout data scientist :concepts généraux mais poussés, dont la maîtrise est indispensable ;algorithmes d ... En savoir plus

    CHF 20.12

  • 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 27.38

  • Learning GraphQL

    Declarative Data Fetching for Modern Web Apps

    Why is GraphQL the most innovative technology for fetching data since Ajax? By providing a query language for your APIs and a runtime for fulfilling queries with your data, GraphQL presents a clear alternative to REST and ad hoc web service architectures. With this practical guide, Alex Banks and Eve Porcello deliver a clear learning path for frontend web developers, backend engineers, and project ... En savoir plus

    CHF 19.38

  • Hands-On Data Preprocessing in Python

    Learn how to effectively prepare data for successful data analytics

    par Roy Jafari ...
    Get your raw data cleaned up and ready for processing to design better data analytic solutions Key Features • Develop the skills to perform data cleaning, data integration, data reduction, and data transformation • Make the most of your raw data with powerful data transformation and massaging techniques • Perform thorough data cleaning, including dealing with missing values and outliers Book ... En savoir plus

    CHF 31.28 ou Gratuit avec Kobo Plus

  • 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

  • Architecting Modern Data Platforms

    A Guide to Enterprise Hadoop at Scale

    There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.Ideal for enterprise architects, IT managers, application ... En savoir plus

    CHF 43.80

  • R: Unleash Machine Learning Techniques

    Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning practitioner.About This BookBuild your confidence with R and find out how to solve a huge range of data-related problemsGet to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries todayDon't ... En savoir plus

    CHF 56.93 ou Gratuit avec Kobo Plus

  • Principles of Data Wrangling

    Practical Techniques for Data Preparation

    A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?"Wrangling data consumes roughly 50 ... En savoir plus

    CHF 16.51

  • Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

    200+ pages of valuable content!Machines can LEARN?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on ... En savoir plus

    CHF 3.00

  • The Impact Challenge

    Reframing Sustainability for Businesses

    Collection series Impactful Data Science
    This book explores the role of businesses in delivering positive societal and financial outcomes as they seek to bridge the gap between short-term organizational behaviors and long-range sustainability commitments. By addressing the inevitable data challenges associated with the strategic integration of a sustainability mindset, it enables faster adoption of social, environmental and governance ... En savoir plus

    Gratuit

  • Anonymizing Health Data

    Case Studies and Methods to Get You Started

    Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets.Clinical data is valuable for research ... En savoir plus

    CHF 17.12

  • Spark: The Definitive Guide

    Big Data Processing Made Simple

    Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ? ... En savoir plus

    CHF 34.16

  • Doing Data Science

    Straight Talk from the Frontline

    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... En savoir plus

    CHF 22.25