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Free Download Data Science with Julia : Build Models and Analyze Data
English | November 15, 2025 | ASIN: B0G2FM82L7 | Pages not found | EPUB (True) | 187.34 KB
Bogged down by Python's sluggish runs on massive datasets, or R's clunky syntax choking your ML pipelines while deadlines demand speed and precision? You're a data wrangler itching to crunch terabytes, visualize insights, and deploy models that fly-not crawl-but scattered Julia scraps leave you debugging forever, prototypes abandoned, and insights buried. What if you could harness Data Science with Julia's turbocharged core to Build Models and Analyze Data that outpace rivals, all through guided projects? Accelerate to analytics apex with Data Science with Julia: Build Models and Analyze Data-your high-octane engine for data dominance.

Free Download Data Science Management: Vom ersten Konzept bis zur Governance datengetriebener Organisationen (Animals)
Deutsch | 13. Januar 2024 | ASIN: B0CTHWQW4Y | 310 Seiten | EPUB (True) | 5.06 MB
Der umfassende Leitfaden für das Managen von Data-Science-Projekten für Studium und Beruf Themenspektrum: Designen von Projekten, Datenverarbeitung, Analysemethoden, Rolle und Aufgaben von Data Science Manager:innen, Kommunikation mit Stakeholdern, Automatisierung, MLOps, Governance Inklusive konkreter Toolsets wie z.B. Softwarepakete, Checklisten, Projekt-Canvases sowie Übersichten über bewährte Methoden Die Autoren sind Professoren für Data Science bzw. Data Science Management an der Digital Business University of Applied Sciences und Startup-Gründer Viele Data-Science-Vorhaben scheitern an organisatorischen Hürden: Oftmals ist die Rolle des Managements in diesen Projekten nicht klar definiert, zudem gibt es unterschiedliche Vorstellungen, wie gutes Projektmanagement für Data-Science-Produkte aussehen muss. Dieser praxisorientierte Leitfaden unterstützt Sie beim erfolgreichen Management von Data-Science-Projekten jeder Größe. Sie erfahren zunächst, wie Datenanalysen durchgeführt werden und welche Tools hierfür infrage kommen. Marcel Hebing und Martin Manhembué zeigen dann Wege auf, wie Sie Projekte entlang des Data-Science-Lifecycles planen und eine datengetriebene Organisationskultur implementieren. Dabei wird die Rolle von Data-Science-Managerinnen und -Managern im Kontext eines modernen Leaderships beleuchtet und der Aufbau von Datenanalyse-Teams beschrieben. Jeder Themenbereich wird ergänzt durch Hands-on-Kapitel, die Toolsets und Checklisten für die Umsetzung in die Praxis enthalten. Themen des Buchs: Data-Science-Grundlagen: Designen von Projekten, Datenformate und Datenbanken, Datenaufbereitung, Analysemethoden aus Statistik und Machine Learning Management von Data-Science-Projekten: Grundlagen des Projektmanagements, typische Fallstricke, Rolle und Aufgaben des Managements, Data-Science-Teams, Servant und Agile Leadership, Kommunikation mit Stakeholdern Infrastruktur und Architektur: Automatisierung, IT-Infrastruktur, Data-Science-Architekturen, DevOps und MLOps Governance und Data-driven Culture: Digitale Transformation, Implementierung von Data Science im Unternehmen, Sicherheit und Datenschutz, New Work, Recruiting

Free Download Data Preparation and Analysis: An easy approach to master data science (English Edition) by Dr. Pooja Sharma
English | August 11, 2025 | ISBN: 9365896193 | 282 pages | MOBI | 1.99 Mb
Data science is an evolving field, and the ability to effectively prepare and analyze data is a critical skill for any aspiring professional. This book serves as a comprehensive introduction to the foundational concepts and tools of data science, making it ideal for beginners and aspiring data professionals.

Free Download Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis, Modify and Association Rules
English | November 30, 2025 | ISBN: 9798232498221 | 205 Pages | EPUB (True) | 7.22 MB
SAS Institute implements data mining in Enterprise Miner software, which will be used in this book, and other procedures and modules (STAT, ETS,...) which will also be used throughout the text. SAS Institute defines the concept of Data Mining as the process of selecting ( Selecting ), explore ( Exploring ), modify ( Modifying ), modeling ( Modeling ) and rating ( Assessment ) large amounts of data with the aim of uncovering unknown patterns which can be used as a comparative advantage with respect to competitors. This process is summarized with the acronym SEMMA which are the initials of the 5 phases which comprise the process of Data Mining according to SAS Institute. This book delves into the selection, exploration, modification, and association analysis phases in data mining

Free Download Data Management, Analytics and Innovation
English | November 12, 2025 | ISBN: 9819665361 | 436 pages | True ePUB, PDF | 72 Mb
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17-19 January 2025 at St. Xavier's College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.

Free Download Data Management, Analytics and Innovation (Lecture Notes in Networks and Systems) by Saptarsi Goswami, Sajal Saha, Kanadpriya Basu
English | November 23, 2025 | ISBN: 9819658594 | 440 pages | PDF | 29 Mb
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17-19 January 2025 at St. Xavier's College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.

Free Download Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform by Kiran Sreekumar, Karthik Subbarao
English | October 21st, 2025 | ISBN: 1098179633 | 385 pages | True PDF | 13.94 MB
Organizations collecting and using personal data must now heed a growing body of regulations, and the penalties for noncompliance are stiff. The ubiquity of the cloud and the advent of generative AI have only made it more crucial to govern data appropriately. Thousands of companies have turned to Databricks Unity Catalog to simplify data governance and manage their data and AI assets more effectively. This practical guide helps you do the same.

Data Science with Julia Build Models and Analyze Data

Data Science Management Vom ersten Konzept bis zur Governance datengetriebener Organisationen (Animals)

Data Preparation and Analysis An easy approach to master data science (English Edition)

Data Mining Techniques with SAS Enterprise Miner. Sampling, Exporatory Analysis, Modify and Association Rules

Data Management, Analytics and Innovation (ePUB, PDF)

Data Management, Analytics and Innovation (PDF)

Data Management Workbook

Data Governance with Unity Catalog on Databricks

Data Engineering with Python & SQL

Data Engineering for Beginners (Tech Today)