Showing titles in Data Science

Spring in Action, Fourth Edition is a hands-on guide to the Spring Framework, updated for version 4. It covers the features, tools, and practices including Spring MVC, REST, Security, Web Flow, and more. You'll move between short snippets and an ongoing example as you learn to build simple and efficient J2EE applications. Author Craig Walls has a special knack for crisp and entertaining examples that zoom in on the features and techniques you really need.

Understanding these relationships that make up a database can allow you to figure out the overall structure of the database you are building or working on. This will allow for better use of the existing framework and increase your productivity while decreasing time spent crunching numbers.

A potent exploration of the power of blockchains to reshape the future of the internet—and how that affects us all—from influential technology entrepreneur and startup investor Chris Dixon “A must for anyone who wants to better understand the real potential of blockchains and web3...

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

In einer Welt, in der alles miteinander kommuniziert, entsteht eine neue Art von Intelligenz: vernetzt, effizient und nachhaltig. Dieses Buch zeigt, wie IoT, LoRaWAN und smarte Netzwerke zusammenwirken, um Prozesse zu optimieren, Energie zu sparen und neue digitale Lösungen zu schaffen. Du erfährst Schritt für Schritt, welche Einsatzmöglichkeiten moderne IoT-Systeme bieten.

In the rapidly evolving landscape of artificial intelligence and neuroscience, we stand at the precipice of a revolutionary understanding of how intelligence itself operates. The concept of "Data Cortex" represents more than just a metaphor—it embodies the fundamental principles that govern how information is processed, stored, and utilized in both biological and artificial systems. This audiobook explores the intricate relationships between the human brain's cortical structures and the data processing systems we create.

The Complete Guide to Cloud Storage Architecture: Buckets, Permissions, and Data Access Layers The Complete Guide to Cloud Storage Architecture is a comprehensive resource designed for developers, architects, engineers, students, and IT professionals seeking a clear and practical understanding of modern cloud storage systems. This audiobook offers a structured walkthrough of every layer of cloud data storage, demystifying how today’s platforms store, organize, secure, and scale data.

In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies.

Data Analytics is a comprehensive guide that explores the transformative potential of data analytics and its impact on business success and social change. In this book, listeners will embark on a journey to discover the world of data analytics, from understanding its fundamental principles to unlocking its full potential for driving innovation and driving positive societal impact.

Welcome to the world of data analytics, where its power transforms businesses and informs decision-making. In an age of unprecedented data availability, organizations that successfully harness and analyze it hold an unparalleled competitive advantage; Data Analytics Unleashed: Empowering Businesses with Insights and Innovation will serve as your guide in unleashing its full potential and using it to drive success.

ChatGPTと著者が二人三脚で執筆！「今の仕事にAIをどう使うか？　考え方一つで「AIの奴隷になるか、AIを奴隷にするか」くらいの大きな違いが出てくる」

Writing a manuscript is hard enough. The idea of creating, publishing, and marketing it can be daunting. Having a road map can make all the difference. Twenty-time best-selling author and the CEO of Brodie Consulting Group knows what to teach you, because he’s done it all before.

「ChatGPT」（チャットジーピーティー）は⽂章⽣成AIです。⼈間が⼊⼒した質問に答える形で⽂章を返してくるので「対話型AI」とも呼ばれています。

技術書の表も裏も知り尽くした人気作家が、読書を血肉にするコツとテクニックを教えます。大好評の「技術書（コンピュータ書）」の読書術を指南する本のオーディオブック版が登場！

Ninety-four percent of consumers will leave a website if it has poor graphic design. Do you want to effortlessly keep an audience’s attention on your data visuals and not their phones? Keep listening.

Data science is one of the most popular, lucrative and highly desirable skill set out there. Learning it—and mastering the craft—is a walk in the park when you have the right guidance.

"#Datastories - Seguire le impronte umane sul digitale” è un saggio che indaga sul significato nascosto degli small data che quotidianamente seminiamo in Rete attraverso i nostri tablet e smartphone. Si tratta delle impronte che lasciamo ogni giorno sui nostri dispositivi, quando digitiamo chiavi di ricerca sul web, mandiamo cuoricini sui social e facciamo swipe sulle app. Dati minuscoli, che possono rivelare i nostri comportamenti, le scelte di consumo, i codici linguistici, le nostre tensioni culturali.

Muchos acontecimientos del pasado han demostrado que disponer de la información adecuada y saber interpretarla a tiempo supone la diferencia entre el éxito y el fracaso en campos tan diversos como el de la agricultura o el de los negocios. La ciencia de datos es hoy una realidad en pleno desarrollo, en la que la visualización de la información resulta clave para extraer el máximo conocimiento y adoptar las mejores decisiones.

A guide of python cyber.

Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple.