Data Science

Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation--linking online and offline data across all your...

Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern data skills used in emerging technologies Learn pragmatic design methodologies such as Data Mesh and data lakehouses Gain a...

Data can be a cost for some organizations, but for those who succeed, it is a way to drive profitability, customer loyalty, and outperform others in their field. A well thought out, fit-for-purpose data strategy is vital for every modern data-driven...

Discover the true power of DAX and build advanced DAX solutions for practical business scenarios Key Features * Solve complex business problems within Microsoft BI tools including Power BI, SQL Server, and Excel * Develop a conceptual understanding of...

The book that will make you rethink everything you thought you knew about data, privacy and the future of Big Tech. 'We are currently living in a moment of extreme pessimism about data. This book will change your mind.' Almost everything we do generates...

Data is humanity's most important new resource. It has the capacity to provide insight into every aspect of our lives, the planet and the universe at large; it changes not only what we know but also how we know it. Exploiting the value of data could...

Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certification Key Features Understand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262545914Author Martin HuberFormat PaperbackPage Count 336Imprint MIT PressPublisher MIT Press Ltd

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a...

In Joyful Infographics: A Friendly, Human Approach to Data, one of the leading graphic designers of recent times shows how a judicious use of humor can make infographics more understandable. Written in non-academic, easy-to-understand language, and with...

Want to jump into data science but don't know where to start? Let's be real, data science is presented as something mystical and unattainable without the most powerful software, hardware, and data expertise. Real data science isn't about technology. It's...

It is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a 'data model' to represent the information that has to be handled by the system. Starting from first principles, this...

In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible...

Anton Wilhelm Amo (c.1703-after 1752) was the first African philosopher in the modern period to write in the European philosophical tradition and study and teach in European universities. At the dawn of the eighteenth century, while still a small...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262043823Author Murray DickFormat HardbackPage Count 248Imprint MIT PressPublisher MIT Press LtdDimensions(mm) 229mm * 152mm * 21mm

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine...

Cyberethics: Morality and Law in Cyberspace, Seventh Edition provides a comprehensive and up-to-date investigation of the internet's influence on our society and our lives. As internet use expands and new informational technologies are developed...

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website...

Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using Python Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore Prophet, the open...

Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic...

Learn to effectively manage data and execute data science projects from start to finish using PythonKey FeaturesUnderstand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modelingBuild a strong...

Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789388590877Author Mugesh S.Format PaperbackPage Count 336Imprint Orange Education Pvt LtdPublisher Orange Education Pvt Ltd

Build powerful, production-ready search applications using the incredible features of Elasticsearch. In ElasticSearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of ElasticsearchInstalling,...

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a...

Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive...

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048613Author Solon BarocasFormat HardbackPage Count 320Imprint MIT PressPublisher MIT Press Ltd

Apache Spark is amazing when everything clicks. But if you haven't seen the performance improvements you expected, or still don't feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren...

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google...

What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization? Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole. Drawing from their unconventional...

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas...

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios...

A focused guide for healthcare simulation operations in education and training With the growing use of simulation within the field of healthcare, Healthcare Simulation: A Guide for Operations Specialists provides a much needed resource for developing the...

Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any...

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always...

This book examines the growing importance of algorithms and automation-including emerging forms of artificial intelligence-in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and...

The 'ShipCraft' series provides in-depth information about building and modifying model kits of famous warship types. Lavishly illustrated, each book takes the modeller through a brief history of the subject class, highlighting differences between...

Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wranglingDiscover supervised,...

Predator-prey interactions are ubiquitous, govern the flow of energy up trophic levels, and strongly influence the structure of ecological systems. They are typically quantified using the functional response - the relationship between a predator's...