Showing results for "Alberto Datas Alberto Datas Spanish"
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Python Data Science Essentials
Learn the fundamentals of Data Science with Python
2016
EN
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 upgraded, the second edition of Pyth...
Regression Analysis with Python
Discover everything you need to know about the art of regression analysis with Python, and change how you view data
2016
EN
Learn the art of regression analysis with PythonKey Features\[\*\] Become competent at implementing regression analysis in Python\[\*\] Solve some of the complex data science problems related to predicting outcomes\[\*\] Get to grips with various types of regression for effective data analysisBook DescriptionRegression is the process of learning relationships between inputs and continuous outputs from example data, which enab...
Alteryx Designer Cookbook
Over 60 recipes to transform your data into insights and take your productivity to a new level
2023
EN
Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize dataKey FeaturesAcquire the skills necessary to perform analytics operations like an expertDiscover hidden trends and insights in your data from various sources to make accurate predictionsReduce the time and effort required to derive insights from your dataPurchase of the print or Kindle book includes a free ...
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- Linguistic Insights
2025
EN
Hybrid text production today comprises machine translation chunks, human-produced paragraphs modelled on the writer’s L1, and generative AI contributions via prompting. This book explores how corpus-based cross-linguistic studies can contribute to building and optimising Natural Language Generation in multilingual contexts. The aim is to show how rich linguistic annotation can provide valuable data to enhance and refine hybrid text production. Corpus data are mined from CLANES, a multilaye...
Spanish-Language Television
Cultural and Industrial Transformations
2025
EN
How Spanish-language television networks continue to thrive in a rapidly changing media landscape.The US television industry has suffered blow after blow amid media convergence and the rise of streaming. Those legacy broadcasters that survive are much diminished and highly dependent on live programming—the last redoubt of old media. There is an exception, though: Spanish-language television is thriving.Spanish-Language Television surveys the Latinx...
2019
EN
Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective kn...
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- Computer Science (R0)
2015
EN
This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture. It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers....
2017
EN
This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data...
Python Data Science Essentials
A practitioner's guide covering essential data science principles, tools, and techniques
2018
EN
Gain useful insights from your data using popular data science toolsKey FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook DescriptionFully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data scie...
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- Business Skills
2017
EN
Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness.How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new...
Designing Data-Intensive Applications
Principles, Patterns, and Best Practices for Scalable Systems
2024
EN
Data-intensive application design: principles, patterns, and best practices for scalable systemsWith this vital guide, you can unleash the revolutionary power of data-intensive application design, whether you're a beginner or an experienced professional. "Designing Data-Intensive Applications" goes into the fundamental ideas and cutting-edge patterns that power today's scalable systems, tackling critical issues such as data consistency, scalability, and fault tolerance.This...
2024
EN
The business landscape is evolving rapidly, and with that comes a massive amount of data that organizations must manage. However, many professionals and researchers need help to leverage this data effectively, as there is a lack of comprehensive guidance on integrating data analytics into management practices. Pioneering Approaches in Data Management bridges this gap by providing a framework that combines theoretical concepts with practical applications, empowering readers to use data anal...











