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  • Python Data Science Essentials

    Learn the fundamentals of Data Science with Python

    Become an efficient data science practitioner by understanding Python\\'s key conceptsKey Features\[\*\] Quickly get familiar with data science using Python 3.5\[\*\] Save time (and effort) with all the essential tools explained\[\*\] Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionFully expanded and ... En savoir plus

    CHF 35.08 ou Gratuit avec Kobo Plus

  • The SAP HANA Project Guide

    SAP HANA is the SAP product for in-memory computing. It streamlines transactions, analytics, planning, and data processing on a single in-memory database allowing businesses to operate in real-time. Over the course of the last few years, the authors have led many diverse SAP HANA projects with extraordinary success resulting in 10,000, or in some cases even 100,000, times improvement of system ... En savoir plus

    CHF 8.68

  • Fundamentals of Data Engineering

    Plan and Build Robust Data Systems

    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 38.67

  • 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

  • Learn Grafana 10.x

    A beginner's guide to practical data analytics, interactive dashboards, and observability

    par Eric Salituro ...
    Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guideKey FeaturesInstall, set up, and configure Grafana for real-time data analysis, visualization, and alertingVisualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and ... En savoir plus

    CHF 30.46 ou Gratuit avec Kobo Plus

  • 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

  • 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

  • The Science of Racism

    Everything you need to know but probably don't - yet

    par Keon West ...
    **Shortlisted for the 2026 Unwin AwardLonglisted for the 2026 Jhalak PrizePolls show that over fifty per cent of us don’t believe racism exists.In a world made for White people, The Science of Racism uses clear scientific research to expose what we know about racism, exactly how we know it, and what we can do about it.**‘Charismatic and funny’ - The Guardian'Illuminating, surprising, unnerving, ... En savoir plus

    CHF 10.15

  • The Year in Tech, 2024: The Insights You Need from Harvard Business Review

    Collection series HBR Insights Series
    A year of HBR's essential thinking on tech—all in one place.Generative AI, Web3, neurotech, reusable rockets to power the space economy—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 falling victim ... En savoir plus

    CHF 12.51 ou Gratuit avec Kobo Plus

  • 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

  • The Thinking Machine

    Jensen Huang and Nvidia, the company shaping the future of AI

    par Stephen Witt ...
    WINNER OF THE FT SCHRODERS BUSINESS BOOK OF THE YEAR 2025A SUNDAY TIMES, ECONOMIST AND FINANCIAL TIMES BOOK OF THE YEAR‘Gripping and brilliantly told’ MUSTAFA SULEYMAN‘Highly entertaining’ GUARDIAN‘Excellent’ ECONOMIST'Riveting ... exceptional' RAY KURZWEIL‘Page-turning’ DAVID EPSTEIN<... ... En savoir plus

    Avant CHF 20.00 Après CHF 12.00

  • Data Wrangling with Python

    Creating actionable data from raw sources

    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

  • R for Data Science

    Import, Tidy, Transform, Visualize, and Model Data

    Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You ... En savoir plus

    CHF 38.67

  • Data Management Strategy at Microsoft

    Best practices from a tech giant's decade-long data transformation journey

    Leverage your data as a business asset, from readiness to actionable insights, and drive exceptional performanceKey FeaturesLearn strategies to create a data-driven culture and align data initiatives with business goalsNavigate the ever-evolving business landscape with a modern data platform and unique Data IPSurpass competitors by harnessing the true value of data and fostering data literacy in ... En savoir plus

    CHF 28.62 ou Gratuit avec Kobo Plus

  • Python How-To

    63 techniques to improve your Python code

    par Yong Cui ...
    Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.Python How-To includes over 60 detailed answers to questions like:How do I join and split strings?How do I access dictionary keys, values, and items?How do I set and use the return value in function calls?How do I process JSON data?How do I create lazy ... En savoir plus

    CHF 48.30

  • Building Medallion Architectures

    Designing with Delta Lake and Spark

    To deliver the insights that give them a competitive advantage, organizations increasingly turn to the proven Medallion architecture. Yet implementing a robust data architecture can be difficult, particularly when it comes to using the Medallion architecture's Bronze, Silver, and Gold layers—done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build ... En savoir plus

    CHF 29.03

  • Multi-Domain Master Data Management

    Advanced MDM and Data Governance in Practice

    Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating ... En savoir plus

    CHF 35.39

  • Essential Math for AI

    Next-Level Mathematics for Efficient and Successful AI Systems

    par Hala Nelson ...
    Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.Engineers, data scientists, and students alike will examine ... En savoir plus

    CHF 38.67

  • Tidy Modeling with R

    A Framework for Modeling in the Tidyverse

    Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.RStudio engineers Max Kuhn and Julia Silge demonstrate ways to ... En savoir plus

    CHF 32.41

  • Scaling Python with Dask

    From Data Science to Machine Learning

    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 38.67