|
|
|
 Free Download Data, Disruption & Digital Leadership: How to Win the Innovation Game English | 2023 | ISBN: 3658416009 | 327 Pages | PDF EPUB (True) | 35 MB Since the theory of relativity we know that massive objects attract things by their gravitation. The greater the mass, the greater the force of attraction. It is the same in strategy projects. Each project participant is a massive participant and has an impact on the interaction. What has changed dramatically is the influence of data on this process. Those who do not take this into account will suffer enormous losses in the future. As this change creates a new equilibrium, the chances of success of the methods and behaviors used also change. In this book, you will learn how to master this change and what you need to do so.  Free Download Data in Context: Models as Enablers for Managing and Using Data English | 2023 | ISBN: 3031355385 | 220 Pages | PDF (True) | 6 MB Data is an increasingly important asset for many organizations. This book shows how to model data in a way that allows to exploit this asset effectively and in every respect. To this end, it combines and exploits scientific (semiotics, relational model, etc.) and pragmatic theories (most prominently: the DAMA wheel) and provides a coherent overview from a business and an IT/ICT perspective.  Free Download Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL English | 2023 | ISBN: 183763002X | 563 Pages | MOBI EPUB (True) | 9 MB The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data.  Free Download Data Wrangling with R (Path) by Dan Tofan English | 2022 | Duration: 6 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 722 Mb Data wrangling is the process of transforming and mapping data from one form into another, with the intent of making it more available for data analytics. This skill teaches common data wrangling practices employed with the R programming language.  Free Download Data Wrangling on AWS: Clean and organize complex data for analysis English | 2023 | ISBN: 1801810907 | 660 Pages | MOBI EPUB (True) | 68 MB Data wrangling is the process of cleaning, transforming, and organizing raw, messy, or unstructured data into a structured format. It involves processes such as data cleaning, data integration, data transformation, and data enrichment to ensure that the data is accurate, consistent, and suitable for analysis. Data Wrangling on AWS equips you with the knowledge to reap the full potential of AWS data wrangling tools.  Free Download Data Warehouse Project Management By Adelman, Sid;Moss, Larissa T 2000 | 448 Pages | ISBN: 0201616351 | PDF | 5 MB The average data warehouse takes three years to build and costs $3-5 million -- yet many data warehouse project managers are thrown into the position with no clear idea of their roles, authority, or even objectives. It's no wonder that 85% of all data warehouse projects fall short of their objectives, and 40% fail completely. In Data Warehouse Project Management, two leading data warehouse project management consultants present start-to-finish best practices for getting the job done right. Sid Adelman and Larissa Terpeluk Moss cover the entire lifecycle, from proposing a data warehouse project through staffing a team, developing project scope, justifying, negotiating, and marketing the data warehouse project internally, and then implementing the data warehouse. They present real-world case studies identifying the key pitfalls that arise repeatedly in data warehouse projects -- and offer proven solutions for addressing these challenges. The book and CD-ROM contain an extensive library of templates and checklists, plus self-tests to determine whether an organization is really ready for data warehousing.  Free Download Data Science with Semantic Technologies: Deployment and Exploration English | 2023 | ISBN: 1032316683 | 246 Pages | EPUB (True) | 6.3 MB Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do.  Free Download Data Science for Civil Engineering: A Beginner's Guide English | 2023 | ISBN: 1032327804 | 251 Pages | EPUB (True) | 5.3 MB This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation.  Free Download Data Science and Machine Learning with Python: Learn and Practice Series English | 2020 | ISBN: 8194633494 | 532 Pages | EPUB | 1.3 MB Unlock your potential as an AI and ML professional! This book covers basic to advanced level topics required to master the Machine Learning concepts. There are lot of programs implemented which goes with the explaination - thats why we call it Learn and Practice. Book uses Scikit-learn (formerly scikits.learn and also known as sklearn) is the most popular package and also a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.  Free Download Data Privacy and Crowdsourcing: A Comparison of Selected Problems in China, Germany and the United States English | 2023 | ISBN: 3031320638 | 149 Pages | PDF EPUB (True) | 15 MB This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements from more than 400 crowdsourcing platforms, which allowed them to empirically evaluate their data privacy and data protection practices. The book compares the practices in the three countries and develops empirically-grounded policy recommendations. |
: 