Ai Engineering Productivity Cookbook
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Ai Engineering Productivity Cookbook
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Author :
language : en
Publisher: Intellias Global Limited
Release Date : 2024-10-09
Ai Engineering Productivity Cookbook written by and has been published by Intellias Global Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with Computers categories.
Unleash the potential of AI in software engineering for higher productivity and reduced time-to-market Realize the power of AI-assisted engineering for your business needs with our comprehensive AI Engineering Productivity Cookbook, designed for Engineering, Product, and Innovation teams. Based on Intellias 4-month AI Copilot Implementation program, our experts will guide you through integrating AI coding tools into your development processes, optimizing your workflow, and driving innovation. This playbook is your essential companion, whether you are leading a digital-native startup or navigating the digital transformation of a traditional enterprise. Explore how to effectively fuse AI into your software development lifecycle: From AI Theory to Practice Bridge the gap between AI’s potential and practical implementation strategies to accelerate your projects and address the challenges of technology evolution. AI-Assisted Engineering Learn how AI tools can automate routine coding tasks, improve code quality, and reduce time to market, all aimed at scaling development efforts without sacrificing quality. Advanced AI Features Discover advanced AI functionality that can predict development challenges, suggest optimizations, and personalize development strategies to fit your specific needs. Collaborative Development with AI Learn how AI can promote better interoperability among your development team, making remote and hybrid work environments more efficient and connected. Ethical Considerations and Security Practices Make sure your AI implementations maintain high security standards and adhere to regulatory requirements as well as ethical considerations, essential for preserving trust and integrity in your software. Building AI Products from Business and User Perspectives Align AI product development with business objectives and user expectations to create solutions that not only perform well but also deliver but also deliver on the promise of enhanced customer satisfaction and engagement. The Future of AI in Software Development Stay informed about the future trends of AI in the tech industry and prepare your team for upcoming innovations and shifts in the software development paradigm.
Python Feature Engineering Cookbook
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Author : Soledad Galli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-22
Python Feature Engineering Cookbook written by Soledad Galli and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Computers categories.
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key FeaturesDiscover solutions for feature generation, feature extraction, and feature selectionUncover the end-to-end feature engineering process across continuous, discrete, and unstructured datasetsImplement modern feature extraction techniques using Python's pandas, scikit-learn, SciPy and NumPy librariesBook Description Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code. Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you’ll learn how to work with both continuous and discrete datasets and be able to transform features from unstructured datasets. You will develop the skills necessary to select the best features as well as the most suitable extraction techniques. This book will cover Python recipes that will help you automate feature engineering to simplify complex processes. You’ll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains. By the end of this book, you’ll have discovered tips and practical solutions to all of your feature engineering problems. What you will learnSimplify your feature engineering pipelines with powerful Python packagesGet to grips with imputing missing valuesEncode categorical variables with a wide set of techniquesExtract insights from text quickly and effortlesslyDevelop features from transactional data and time series dataDerive new features by combining existing variablesUnderstand how to transform, discretize, and scale your variablesCreate informative variables from date and timeWho this book is for This book is for machine learning professionals, AI engineers, data scientists, and NLP and reinforcement learning engineers who want to optimize and enrich their machine learning models with the best features. Knowledge of machine learning and Python coding will assist you with understanding the concepts covered in this book.
Data Engineering With Databricks Cookbook
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Author : Pulkit Chadha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Data Engineering With Databricks Cookbook written by Pulkit Chadha and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your data Key Features Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake Gain practical guidance on using Delta Lake tables and orchestrating data pipelines Implement reliable DataOps and DevOps practices, and enforce data governance policies on Databricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark. What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You’ll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You’ll also go through the full process of setup and configuration of the Unity Catalog for data governance. By the end of this book, you’ll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.What you will learn Perform data loading, ingestion, and processing with Apache Spark Discover data transformation techniques and custom user-defined functions (UDFs) in Apache Spark Manage and optimize Delta tables with Apache Spark and Delta Lake APIs Use Spark Structured Streaming for real-time data processing Optimize Apache Spark application and Delta table query performance Implement DataOps and DevOps practices on Databricks Orchestrate data pipelines with Delta Live Tables and Databricks Workflows Implement data governance policies with Unity Catalog Who this book is for This book is for data engineers, data scientists, and data practitioners who want to learn how to build efficient and scalable data pipelines using Apache Spark, Delta Lake, and Databricks. To get the most out of this book, you should have basic knowledge of data architecture, SQL, and Python programming.
Rxjs Cookbook For Reactive Programming
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Author : Nikola Mitrović
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-03-28
Rxjs Cookbook For Reactive Programming written by Nikola Mitrović and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
Build scalable, efficient applications with seamless async data handling and blazing-fast user experience by unleashing reactive programming with Angular Key Features Master RxJS observables, operators, and subjects to improve your reactive programming skills Explore advanced concepts like error handling, state management, PWA, real-time, and event-driven systems Enhance reactive skills with modern web programming techniques, best practices, and real-world examples Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionBuilding modern web applications that are responsive and resilient is essential in this rapidly evolving digital world. Imagine effortlessly managing complex data streams and creating seamless user experiences—this book helps you do just that by adopting RxJS to boost your development skills and transform your approach to reactive programming. Written by a seasoned software engineer and consultant with a decade of industry experience, this book equips you to harness the power of RxJS techniques, patterns, and operators tailored for real-world scenarios. Each chapter is filled with practical recipes designed to tackle a variety of challenges, from managing side effects and ensuring error resiliency in client applications to developing real-time chat applications and event-driven microservices. You’ll learn how to integrate RxJS with popular frameworks, such as Angular and NestJS, gaining insights into modern web development practices that enhance performance and interactivity. By the end of this book, you’ll have mastered reactive programming principles, the RxJS library, and working with Observables, while crafting code that reacts to changes in data and events in a declarative and asynchronous way.What you will learn Manage error handling, side effects, and event orchestration in your Angular and NestJS applications Use RxJS to build stunning, interactive user interfaces with Angular Apply Angular testing strategies to ensure the reliability of your RxJS-powered applications Optimize the performance of RxJS streams Enhance progressive web app experiences with RxJS and Angular Apply RxJS principles to build state management in Angular Craft reactive and event-driven microservices in NestJS Who this book is for This book is ideal for intermediate-to-advanced JavaScript developers who want to adopt reactive programming principles using RxJS. Whether you’re working with Angular or NestJS, you’ll find recipes and real-world examples that help you leverage RxJS for managing asynchronous operations and reactive data flows across both your frontend and backend.
Chatgpt For Cybersecurity Cookbook
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Author : Clint Bodungen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29
Chatgpt For Cybersecurity Cookbook written by Clint Bodungen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
Master ChatGPT and the OpenAI API and harness the power of cutting-edge generative AI and large language models to revolutionize the way you perform penetration testing, threat detection, and risk assessment. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Enhance your skills by leveraging ChatGPT to generate complex commands, write code, and create tools Automate penetration testing, risk assessment, and threat detection tasks using the OpenAI API and Python programming Revolutionize your approach to cybersecurity with an AI-powered toolkit Book DescriptionAre you ready to unleash the potential of AI-driven cybersecurity? This cookbook takes you on a journey toward enhancing your cybersecurity skills, whether you’re a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models such as ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape. ChatGPT for Cybersecurity Cookbook shows you how to automate and optimize various cybersecurity tasks, including penetration testing, vulnerability assessments, risk assessment, and threat detection. Each recipe demonstrates step by step how to utilize ChatGPT and the OpenAI API to generate complex commands, write code, and even create complete tools. You’ll discover how AI-powered cybersecurity can revolutionize your approach to security, providing you with new strategies and techniques for tackling challenges. As you progress, you’ll dive into detailed recipes covering attack vector automation, vulnerability scanning, GPT-assisted code analysis, and more. By learning to harness the power of generative AI, you'll not only expand your skillset but also increase your efficiency. By the end of this cybersecurity book, you’ll have the confidence and knowledge you need to stay ahead of the curve, mastering the latest generative AI tools and techniques in cybersecurity.What you will learn Master ChatGPT prompt engineering for complex cybersecurity tasks Use the OpenAI API to enhance and automate penetration testing Implement artificial intelligence-driven vulnerability assessments and risk analyses Automate threat detection with the OpenAI API Develop custom AI-enhanced cybersecurity tools and scripts Perform AI-powered cybersecurity training and exercises Optimize cybersecurity workflows using generative AI-powered techniques Who this book is for This book is for cybersecurity professionals, IT experts, and enthusiasts looking to harness the power of ChatGPT and the OpenAI API in their cybersecurity operations. Whether you're a red teamer, blue teamer, or security researcher, this book will help you revolutionize your approach to cybersecurity with generative AI-powered techniques. A basic understanding of cybersecurity concepts along with familiarity in Python programming is expected. Experience with command-line tools and basic knowledge of networking concepts and web technologies is also required.
Machine Learning With Python Cookbook
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Author : Chris Albon
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-03-09
Machine Learning With Python Cookbook written by Chris Albon and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-09 with Computers categories.
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics. Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications. You’ll find recipes for: Vectors, matrices, and arrays Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naïve Bayes, clustering, and neural networks Saving and loading trained models
Deep Learning Cookbook
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Author : Douwe Osinga
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-06-05
Deep Learning Cookbook written by Douwe Osinga and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-05 with Computers categories.
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you’re stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks. You’ll learn how to: Create applications that will serve real users Use word embeddings to calculate text similarity Build a movie recommender system based on Wikipedia links Learn how AIs see the world by visualizing their internal state Build a model to suggest emojis for pieces of text Reuse pretrained networks to build an inverse image search service Compare how GANs, autoencoders and LSTMs generate icons Detect music styles and index song collections
Alteryx Designer Cookbook
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Author : Alberto Guisande
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-31
Alteryx Designer Cookbook written by Alberto Guisande and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.
Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize data Key Features Acquire the skills necessary to perform analytics operations like an expert Discover hidden trends and insights in your data from various sources to make accurate predictions Reduce the time and effort required to derive insights from your data Purchase of the print or Kindle book includes a free eBook in the PDF format Book DescriptionAlteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you’ll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you’ll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios By the end of this book, you’ll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficientlyWhat you will learn Speed up the cleansing, data preparing, and shaping process Perform operations and transformations on the data to suit your needs Blend different types of data sources for analysis Pivot and un-pivot the data for easy manipulation Perform aggregations and calculations on the data Encapsulate reusable logic into macros Develop high-quality, data-driven reports to improve consistency Who this book is for This book is for data analysts, data professionals, and business intelligence professionals seeking to harness the full potential of the tool. A basic understanding of Alteryx Designer and Alteryx terminology, including macros, apps, and workflows, is all you need to get started with this book.
Microsoft 365 Administration Cookbook
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Author : Nate Chamberlain
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-08
Microsoft 365 Administration Cookbook written by Nate Chamberlain and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with Computers categories.
Make the most out of your investment in Microsoft 365 apps and services with this Microsoft 365 cookbook for IT administrators Key Features Discover how Microsoft 365 collaboration apps seamlessly integrate with other Microsoft products like Microsoft Entra ID, Purview, Defender, and Power Platform Use PowerShell to automate tasks and improve your overall efficiency in Microsoft 365 Uncover best practices for managing Microsoft 365 apps and services Purchase of the print or Kindle book includes a free PDF eBook Book Description Step into the world of Microsoft 365 administration with this comprehensive second edition of the Microsoft 365 Administration Cookbook. Leveraging the expertise of Nate Chamberlain, a Microsoft 365 expert who has helped millions through his books, blog, and YouTube channel, this book breaks down complex administration tasks into manageable, bite-sized recipes. Covering everything from setting up your tenant to mastering identity roles, this edition also highlights the power of PowerShell to boost your capabilities. You’ll learn how to manage communication, collaboration, security, compliance, and more within Microsoft 365. Packed with practical recipes for both common and advanced administrative tasks, you’ll gain expertise in managing SharePoint Online and Microsoft Teams, and refining user management with Microsoft Entra ID. You’ll also learn how to configure Viva Engage, fortify your defenses with Microsoft Defender, and ensure compliance with Microsoft Purview. By the end of this book, you’ll have sharpened your administrative skills, gleaned actionable insights, and learned best practices. Whether you’re a veteran admin looking for innovative solutions or a newcomer building a solid skill set, this cookbook is an indispensable resource for your professional growth. What you will learn Understand the different Microsoft 365 subscription options and their differences Explore the apps and services currently available on Microsoft 365 for your organization Simplify app configurations and administrative tasks with easy-to-follow recipes Administer Microsoft 365 identities and groups securely and efficiently Manage Microsoft 365 apps and services such as SharePoint and Microsoft Teams to maximize their value in your organization Automate user account provisioning in Microsoft Entra ID using PowerShell and Microsoft Graph Who this book is for This book is for IT professionals tasked with Microsoft 365 administration. Whether you’re new to Microsoft 365 administration or just looking for ideas, this cookbook offers step-by-step recipes and detailed guidance to enhance your organization’s app and service management and productivity. This new edition will also help you stay up to date with the latest features and capabilities in Microsoft 365.
Agile Model Based Systems Engineering Cookbook
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Author : Dr. Bruce Powel Douglass
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-31
Agile Model Based Systems Engineering Cookbook written by Dr. Bruce Powel Douglass and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with Computers categories.
Worried about the growing complexity of systems in your organization? Manage it with recipes for applying agile methodologies and techniques in model-based systems engineering (MBSE) Key Features Learn how Agile and MBSE can work iteratively and collaborate to overcome system complexity Develop essential systems engineering products and achieve crucial enterprise objectives with easy-to-follow recipes Build efficient system engineering models using tried and trusted best practices Book DescriptionAgile MBSE can help organizations manage constant change and uncertainty while continuously ensuring system correctness and meeting customers’ needs. But deploying it isn’t easy. Agile Model-Based Systems Engineering Cookbook is a little different from other MBSE books out there. This book focuses on workflows – or recipes, as the author calls them – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. Written by Dr. Bruce Powel Douglass, a world-renowned expert in MBSE, this book will take you through important systems engineering workflows and show you how they can be performed effectively with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering, but we won’t linger on the theory for too long. Each of the recipes will take you through initiating a project, defining stakeholder needs, defining and analyzing system requirements, designing system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering. By the end of this MBSE book, you’ll have learned how to implement critical systems engineering workflows and create verifiably correct systems engineering models.What you will learn Apply agile methods to develop systems engineering specifications Perform functional analysis with SysML Derive and model systems architectures from key requirements Model crucial engineering data to clarify systems requirements Communicate decisions with downstream subsystem implementation teams Verify specifications with model reviews and simulations Ensure the accuracy of systems models through model-based testing Who this book is for If you are a systems engineer who wants to pursue model-based systems engineering in an agile setting, this book will show you how you can do that without breaking a sweat. Fundamental knowledge of SysML is necessary; the book will teach you the rest.