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Podcasts
Instant jQuery Selectors. Learn how to master the art of effectively using jQuery's selectors
jQuery's selectors is one of the most important concepts of the jQuery library. Usually, the first thing you do is to select one or more elements of a page in order to manipulate them. Therefore, to efficiently learn the usage of jQuery's selectors is one of the first steps to successfully build your website.Instant jQuery Selectors is a practical guide that will teach you how to use jQuery's selectors efficiently in order to easily select theelements of your pages to operate upon with jQuery's methods. You will go through the most common problems that you could face while developing your project and will learn how to solve them with the help of focused examples that Instant jQuery Selectors has to offer.Instant jQuery Selectors, starting from how to set up jQuery and how to choose the right version for your project, explains to you all the selectors available using a multitude of simple and practical recipes that will help you start using selectors in the right way. Reading the presented recipes you'll learn about the numerous selectors and filters of jQuery – almost 100 of them! You will see how to reuse collections, the methods to filter collections, and how to take advantage of the lesser known parameter of jQuery's constructor: context. Also, you'll discover the methods to traverse the DOM and the techniques to improve the performance of your website by just tweaking selectors.Instant jQuery Selectors is the resource to learn everything you need to know about jQuery's selectors.
When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one.You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch.Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this audiobook, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
Kedeisha Bryan, Maaike van Putten
Are you interested in becoming a data analyst, but don't know how to begin? Look no further than this comprehensive book that covers everything you need to know to get started with data analysis.Becoming a Data Analyst will teach you about data collection techniques, data cleaning and pre-processing, exploratory data analysis, statistical analysis, data wrangling and transformation, data modeling, data presentation and communication, and ethical considerations in data analysis.Each chapter provides clear, step-by-step guidance on how to conduct data analysis using various techniques and tools. You'll also benefit from real-world examples, case studies, hands-on exercises, and visual aids such as diagrams, charts, and graphs to help you understand complex concepts and data.In addition to practical skills, this book emphasizes problem-solving skills, showing you how to identify and solve real-world problems using data analysis techniques. It also addresses ethical considerations in data analysis, such as data privacy and bias, and provides guidance on how to conduct data analysis in an ethical and responsible manner.Whether you're just starting out or looking to take your data analysis skills to the next level, Becoming a Data Analyst is the essential guide you need to succeed.
The sophistication of cyber threats, such as ransomware, advanced phishing campaigns, zero-day vulnerability attacks, and advanced persistent threats (APTs), is pushing organizations and individuals to change strategies for reliable system protection. Cyber Threat Intelligence converts threat information into evidence-based intelligence that uncovers adversaries' intents, motives, and capabilities for effective defense against all kinds of threats.This book thoroughly covers the concepts and practices required to develop and drive threat intelligence programs, detailing the tasks involved in each step of the CTI lifecycle. You'll be able to plan a threat intelligence program by understanding and collecting the requirements, setting up the team, and exploring the intelligence frameworks. You'll also learn how and from where to collect intelligence data for your program, considering your organization level. With the help of practical examples, this book will help you get to grips with threat data processing and analysis. And finally, you'll be well-versed with writing tactical, technical, and strategic intelligence reports and sharing them with the community.By the end of this book, you'll have acquired the knowledge and skills required to drive threat intelligence operations from planning to dissemination phases, protect your organization, and help in critical defense decisions.