A high-level overview of networking, data science and computer security. Designed for readers who don't care for academic formalities, it's a fast and easy guide. It teaches the foundations programm……続きを見る
Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data Factory
Key Features
Learn how to load and transform data from various……続きを見る
Learn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum. About This Book • Get you up and running……続きを見る
How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish……続きを見る
Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of u……続きを見る
Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. T……続きを見る
Design cost-efficient database solutions, scale enterprise operations and reduce overhead business costs with MySQL
Key Features
Explore the new and advanced features of MySQL 8.0
Use advanced tech……続きを見る
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 trea……続きを見る
How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.
Data is now central to the economy, government……続きを見る
Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricks
Key Features
Get well-versed with various data ……続きを見る
A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0
Key Features
Gain access to new features and updates introduced in Elastic Stack 7.0
Grasp the f……続きを見る
著者:Joseph Adler
出版社: O'Reilly Media
発売日: 2012年09月26日
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and softw……続きを見る
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applica……続きを見る
Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLPKey FeaturesExplore quick prototyp……続きを見る
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven ann……続きを見る
Build end-to-end industrial-strength NLP models using advanced morphological and syntactic features in spaCy to create real-world applications with ease Key Features • Gain an overview of what spaCy……続きを見る
KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the marke……続きを見る
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks
Key Features
Apply deep learning algorithms ……続きを見る
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and dat……続きを見る
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive i……続きを見る
Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API
About This Book
Learn about the design and implementation of ……続きを見る
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of ……続きを見る
著者:Steve Francia
出版社: O'Reilly Media
発売日: 2012年01月23日
What would happen if you optimized a data store for the operations application developers actually use? You’d arrive at MongoDB, the reliable document-oriented database. With this concise guide, you……続きを見る
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization
Key Features
Analyze varying complexities of text ……続きを見る
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 boo……続きを見る
Have you always wanted to learn computer programming but thought it was too difficult or would take too long?
Do you want to know the secret to learning Python Data Science the easy way and start pr……続きを見る
★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. ★★★★★
Knowledge flow ー A mobile learning platform provides Apps and Books.
Knowledge flow provides learning book of Business Statistics an……続きを見る
Leading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their m……続きを見る
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new fe……続きを見る
Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI……続きを見る