“…Mais ce qui fait l’originalité de son Histoire naturelle, c’est la place importante accordée à l’homme, ses mœurs, ses pratiques agricoles, sa manière d’exploiter les mines, sa santé. Les descriptions contenues dans les trois volumes reposent sur l’observation directe de l’ensemble du territoire provençal que Darluc a pris la peine de visiter pour rédiger son ouvrage. …”

“…This extremely well-documented book draws on Jean-Marcel Jeanneney’s public action to explore questions with echoes still on the agenda today: industrial change and restructuring, including the coal mines; creation of the Union Générale des Pétroles, the forerunner to Elf; launch of the project to build the Rance Tidal Power Station; reform of the chambers of commerce and industry; French-Algerian relations in the early months of Algeria’s...…”

“…What You Will Learn Understand key data analysis techniques centered around machine learning Implement Java APIs and various techniques such as classification, clustering, anomaly detection, and more Master key Java machine learning libraries, their functionality, and various kinds of problems that can be addressed using each of them Apply machine learning to real-world data for fraud detection, recommendation engines, text classification, and human activity recognition Experiment with semi-supervised learning and stream-based data mining, building high-performing and real-time predictive models Develop intelligent systems centered around various domains such as security, Internet of Things, social networking, and more In Detail Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. …”

“…We’ll then move on to data cleansing, mining and analyzing various data types in machine learning and you’ll see how to display data values on a plot. …”

“…What you will learn Get started with the fundamental concepts of network automation Perform intelligent data mining and remediation based on triggers Understand how AIOps works in operations Trigger automation through data factors Improve your data center's robustness and security through data digging Get access infrastructure through API Framework for chatbot and voice interactive troubleshootings Set up communication with SSH-based devices using Netmiko Who this book is for If you are a network engineer or a DevOps professional looking for an extensive guide to help you automate and manage your network efficiently, then this book is for you. …”

“…A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. …”

“…It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. …”

“…this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. …”

“…Style and approach Bayes algorithms are widely used in statistics, machine learning, artificial intelligence, and data mining. This will be a practical guide allowing the readers to use Bayesian methods for statistical modelling and analysis using Python. …”

“…Spark provides in-memory cluster computing, which greatly boosts the speed of iterative algorithms and interactive data mining tasks. Spark also is a powerful engine for streaming data as well as processing it. …”

“…What You Will Learn Master the core predictive analytics algorithm which are used today in business Learn to implement the six steps for a successful analytics project Classify the right algorithm for your requirements Use and apply predictive analytics to research problems in healthcare Implement predictive analytics to retain and acquire your customers Use text mining to understand unstructured data Develop models on your own PC or in Spark/Hadoop environments Implement predictive analytics products for customers In Detail This is the go-to book for anyone interested in the steps needed to develop predictive analytics solutions with examples from the world of marketing, healthcare, and retail. …”

“…While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. …”

“…This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. …”

“…Towards the end of the book, you will also learn how to apply these services to other problems, such as text mining, and to more complex datasets. Style and approach This book will include use cases you can relate to. …”

“…By enabling a first set of analytical functionality in DB2 Analytics Accelerator, those dedicated mining algorithms can now be run on an accelerator to efficiently perform these modeling tasks. …”

“…Block online tracking, data mining and malicious online ads. Send files and messages with end-to-end encryption. …”

“…You'll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. …”