Hands On Serverless Deep Learning With Tensorflow And Aws Lambda
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Hands On Serverless Deep Learning With Tensorflow And Aws Lambda
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Author : Rustem Feyzkhanov
language : en
Publisher: Impackt Publishing
Release Date : 2019-01-31
Hands On Serverless Deep Learning With Tensorflow And Aws Lambda written by Rustem Feyzkhanov and has been published by Impackt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with categories.
Use the serverless computing approach to save time and money Key Features Save your time by deploying deep learning models with ease using the AWS serverless infrastructure Get a solid grip on AWS services and use them with TensorFlow for efficient deep learning Includes tips, tricks and best practices on serverless deep learning that you can use in a production environment Book Description One of the main problems with deep learning models is finding the right way to deploy them within the company's IT infrastructure. Serverless architecture changes the rules of the game--instead of thinking about cluster management, scalability, and query processing, it allows us to focus specifically on training the model. This book prepares you to use your own custom-trained models with AWS Lambda to achieve a simplified serverless computing approach without spending much time and money. You will use AWS Services to deploy TensorFlow models without spending hours training and deploying them. You'll learn to deploy with serverless infrastructures, create APIs, process pipelines, and more with the tips included in this book. By the end of the book, you will have implemented your own project that demonstrates how to use AWS Lambda effectively so as to serve your TensorFlow models in the best possible way. What you will learn Gain practical experience by working hands-on with serverless infrastructures (AWS Lambda) Export and deploy deep learning models using Tensorflow Build a solid base in AWS and its various functions Create a deep learning API using AWS Lambda Look at the AWS API gateway Create deep learning processing pipelines using AWS functions Create deep learning production pipelines using AWS Lambda and AWS Step Function Who this book is for This book will benefit data scientists who want to learn how to deploy models easily and beginners who want to learn about deploying into the cloud. No prior knowledge of TensorFlow or AWS is required.
Machine Learning Bookcamp
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Author : Alexey Grigorev
language : en
Publisher: Simon and Schuster
Release Date : 2021-11-23
Machine Learning Bookcamp written by Alexey Grigorev and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Computers categories.
Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! Machine learning bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You'll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills!
Hands On Python Deep Learning For The Web
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Author : Anubhav Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-05-15
Hands On Python Deep Learning For The Web written by Anubhav Singh 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 2020-05-15 with Computers categories.
Use the power of deep learning with Python to build and deploy intelligent web applications Key FeaturesCreate next-generation intelligent web applications using Python libraries such as Flask and DjangoImplement deep learning algorithms and techniques for performing smart web automationIntegrate neural network architectures to create powerful full-stack web applicationsBook Description When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python. Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages. By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices. What you will learnExplore deep learning models and implement them in your browserDesign a smart web-based client using Django and FlaskWork with different Python-based APIs for performing deep learning tasksImplement popular neural network models with TensorFlow.jsDesign and build deep web services on the cloud using deep learningGet familiar with the standard workflow of taking deep learning models into productionWho this book is for This deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you’re a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.
Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03
Advanced Serverless Data Management Harnessing Google Cloud Functions For Cutting Edge Processing written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
Embark on a journey to master serverless data management with "Advanced Serverless Data Management: Harnessing Google Cloud Functions for Cutting-Edge Processing." This comprehensive guide is meticulously crafted for developers and IT professionals looking to leverage the power of serverless computing to build scalable, efficient, and cost-effective applications. Whether you're a novice eager to explore serverless technologies or an experienced developer aiming to deepen your expertise in Google Cloud Functions, this book offers a wealth of knowledge on essential topics. From setting up your environment and developing your first function to advanced integration and security practices, each chapter unfolds in a logical, structured manner, providing practical insights and examples. Learn how to process data in real-time, seamlessly integrate with a multitude of Google Cloud Platform services, optimize performance, and troubleshoot with confidence. "Advanced Serverless Data Management" is not just a book; it's your companion in navigating the evolving landscape of serverless computing, unlocking the full potential of Google Cloud Functions to innovate and elevate your projects and applications.
Js From A To Z
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Author : Muhammed CİNDİOĞLU
language : en
Publisher: Muhammed Cindioglu
Release Date : 2023-10-28
Js From A To Z written by Muhammed CİNDİOĞLU and has been published by Muhammed Cindioglu this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-28 with Computers categories.
JavaScript is a versatile and powerful programming language that is primarily used for web development. It allows you to add interactivity and dynamic behavior to websites, making it an integral part of front-end web development. JavaScript is often referred to as the "language of the web" because it runs in web browsers and enables features like interactive forms, animations, and real-time updates.
Serverless Deep Learning With Tensorflow And Aws Lambda
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Author : Rustem Feyzkhanov
language : en
Publisher:
Release Date : 2018
Serverless Deep Learning With Tensorflow And Aws Lambda written by Rustem Feyzkhanov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
"One of the main problems with deep learning models is finding the right way to deploy them within the company's IT infrastructure. Serverless architecture changes the rules of the game ... it allows us to focus specifically on training the model. This course prepares you to use your own custom-trained models with AWS Lambda to achieve a simplified serverless computing approach without spending much time and money."--Resource description page.
Python For Devops
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Author : Noah Gift
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-12
Python For Devops written by Noah Gift and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Computers categories.
Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide. Python foundations, including a brief introduction to the language How to automate text, write command-line tools, and automate the filesystem Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing Cloud computing, infrastructure as code, Kubernetes, and serverless Machine learning operations and data engineering from a DevOps perspective Building, deploying, and operationalizing a machine learning project
Coding Examples From Simple To Complex
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Author : Paul A. Gagniuc
language : en
Publisher: Springer Nature
Release Date : 2024-04-29
Coding Examples From Simple To Complex written by Paul A. Gagniuc and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Computers categories.
This book provides a comprehensive guide to JavaScript, which stands as the cornerstone of modern programming and is the main computer language driving the Internet. The author introduces readers to the rich world of JavaScript, taking them on a journey from the fundamentals to advanced topics, equipping them with the knowledge and skills needed to become a proficient science and engineering oriented JavaScript developer. The book provides a treasure trove of practical examples, meticulously crafted to deepen the reader understanding of JavaScript. This comprehensive exploration is designed to cater to novice learners as well as mature developers and scientists, equipping them with the requisite knowledge and competencies to harness the JavaScript full potential in their respective projects. This book is part of a series of works designed to present both the examples and their explanations in various computer languages, as close to a mirror version as possible.
Data Engineering On The Cloud A Practical Guide 2025
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Author : Raghu Gopa, Dr. Arpita Roy
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Data Engineering On The Cloud A Practical Guide 2025 written by Raghu Gopa, Dr. Arpita Roy and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The digital transformation of businesses and the exponential growth of data have created a fundamental shift in how organizations approach data management, analytics, and decision-making. As cloud technologies continue to evolve, cloud-based data engineering has become central to the success of modern data-driven enterprises. “Data Engineering on the Cloud: A Practical Guide” aims to equip data professionals, engineers, and organizations with the knowledge and practical tools needed to build and manage scalable, secure, and efficient data engineering pipelines in cloud environments. This book is designed to bridge the gap between the theoretical foundations of data engineering and the practical realities of working with cloud-based data platforms. Cloud computing has revolutionized data storage, processing, and analytics by offering unparalleled scalability, flexibility, and cost efficiency. However, with these opportunities come new challenges, including selecting the right tools, architectures, and strategies to ensure seamless data integration, transformation, and delivery. As businesses increasingly migrate their data to the cloud, it is essential for data engineers to understand how to leverage the capabilities of the cloud to build robust data pipelines that can handle large, complex datasets in real-time. Throughout this guide, we will explore the various facets of cloud-based data engineering, from understanding cloud storage and computing services to implementing data integration techniques, managing data quality, and optimizing performance. Whether you are building data pipelines from scratch, migrating on-premises systems to the cloud, or enhancing existing data workflows, this book will provide actionable insights and step-by-step guidance on best practices, tools, and frameworks commonly used in cloud data engineering. Key topics covered in this book include: · The fundamentals of cloud architecture and the role of cloud providers (such as AWS, Google Cloud, and Microsoft Azure) in data engineering workflows. · Designing scalable and efficient data pipelines using cloud-based tools and services. · Integrating diverse data sources, including structured, semi-structured, and unstructured data, for seamless processing and analysis. · Data transformation techniques, including ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform), in cloud environments. · Ensuring data quality, governance, and security when working with cloud data platforms. · Optimizing performance for data storage, processing, and analytics to handle growing data volumes and complexity. This book is aimed at professionals who are already familiar with data engineering concepts and are looking to apply those concepts within cloud environments. It is also suitable for organizations that are in the process of migrating to cloud-based data platforms and wish to understand the nuances and best practices for cloud data engineering. In addition to theoretical knowledge, this guide emphasizes hands-on approaches, providing practical examples, code snippets, and real-world case studies to demonstrate the effective implementation of cloud-based data engineering solutions. We will explore how to utilize cloud-native services to streamline workflows, improve automation, and reduce manual interventions in data pipelines. Throughout the book, you will gain insights into the evolving tools and technologies that make data engineering more agile, reliable, and efficient. The role of data engineering is growing ever more important in enabling businesses to unlock the value of their data. By the end of this book, you will have a comprehensive understanding of how to leverage cloud technologies to build high-performance, scalable data engineering solutions that are aligned with the needs of modern data-driven organizations. We hope this guide helps you to navigate the complexities of cloud data engineering and helps you unlock new possibilities for your data initiatives. Welcome to “Data Engineering on the Cloud: A Practical Guide.” Let’s embark on this journey to harness the full potential of cloud technologies in the world of data engineering. Authors
Website Development
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Author : Prabhu TL
language : en
Publisher: NestFame Creations Pvt Ltd.
Release Date : 2025-01-01
Website Development written by Prabhu TL and has been published by NestFame Creations Pvt Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-01 with Business & Economics categories.
In today’s fast-paced, digital-first world, websites are more than just online presences—they are powerful tools for communication, commerce, and creativity. Whether you are an aspiring developer, a seasoned professional, or an entrepreneur aiming to establish a digital footprint, Website Development is your ultimate guide to mastering the art and science of building exceptional websites. This comprehensive book takes you on a journey through the core concepts and advanced techniques of web development, equipping you with the skills to create engaging, user-friendly, and high-performing websites. It is a step-by-step roadmap that bridges the gap between theory and practice, ensuring you gain hands-on experience while understanding the principles that drive successful web design and development. What You’ll Learn 1. Foundations of Web Development: ○ Explore the essential building blocks of the web, including HTML, CSS, and JavaScript. ○ Understand the tools, frameworks, and environments that streamline development. 2. Front-End Development: ○ Master responsive design techniques for mobile and desktop users. ○ Bring interactivity to life with dynamic JavaScript and advanced styling methods. 3. Back-End Development: ○ Learn the fundamentals of server-side programming and database management. ○ Discover how APIs connect the front and back ends to deliver seamless user experiences. 4. Full-Stack Development: ○ Integrate front-end and back-end technologies to create robust, end-to-end applications. ○ Dive into modern frameworks, microservices, and DevOps best practices. 5. Website Essentials: ○ Optimize your website for speed, security, and search engine rankings. ○ Ensure accessibility and inclusivity for all users. 6. Deployment and Maintenance: ○ Choose the right hosting options and set up CI/CD pipelines. ○ Learn sustainable practices to maintain and scale your website effectively. 7. Future Trends: ○ Explore cutting-edge technologies like AI, Progressive Web Apps (PWAs), blockchain, and IoT. ○ Stay ahead of the curve with insights into sustainable and innovative web development. Who Should Read This Book? ● Beginners: If you are new to web development, this book provides a clear and structured introduction to the field. ● Experienced Developers: Expand your expertise with advanced topics, real-world applications, and emerging technologies. ● Entrepreneurs: Build and manage your website to grow your business and connect with your audience. ● Educators and Students: A complete resource for teaching and learning web development concepts. Why Choose This Book? ● Comprehensive Coverage: From planning and design to deployment and future trends, this book covers every aspect of website development. ● Practical Approach: Hands-on examples, code snippets, and real-world projects help solidify your learning. ● Sustainability Focus: Learn how to build eco-friendly websites with minimal environmental impact. ● Future-Proof Knowledge: Prepare for the next wave of web technologies and trends. Your Journey Starts Here Website Development: From Basics to Mastery is more than just a book—it’s a toolkit for success in the digital era. Whether you’re crafting your first webpage or launching a complex web application, this guide will empower you to create websites that are not only functional but also engaging, secure, and sustainable. Start building the future today—one website at a time.