Machine Learning Deployment Made Simple
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Machine Learning Deployment Made Simple
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Author : Bryan C Diego
language : en
Publisher: Independently Published
Release Date : 2025-12
Machine Learning Deployment Made Simple written by Bryan C Diego and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12 with Computers categories.
Machine Learning Deployment Made Simple: FastAPI, ONNX, and Python for Modern AI Systems Are you curious about artificial intelligence but feel overwhelmed by jargon, code, and complicated tools? Do you want to see your own machine learning models come to life-deployed and working in real-world applications-even if you've never written a line of Python before? This book is your friendly invitation into the world of modern AI deployment, designed especially for complete beginners and those who think "I'm not technical enough." Take the Fear Out of AI and Coding You don't need a PhD or a programming background to master machine learning deployment. With warmth, encouragement, and clear explanations, this book guides you step by step, from your very first install to running your own machine learning models online. You'll learn with real examples and build practical skills at your own pace. Every chapter is crafted to empower, reassure, and nurture your progress, no matter how much (or how little) experience you start with. What Makes This Book Different? Beginner-Friendly and Non-Intimidating Every concept-whether it's FastAPI, ONNX, or Python basics-is broken down into small, digestible steps, with plain English explanations and hands-on examples that anyone can follow. Mistakes Are Welcome The book normalizes the learning curve. You'll see how errors, bugs, and detours are not failures-they're stepping stones. Each chapter celebrates your small wins and encourages you to keep going, making learning to code and deploy AI a joyful, pressure-free experience. Real-World, Practical Skills Move beyond theory. You'll create and deploy actual machine learning models, connect them to web APIs, and see how they can solve real problems-from image recognition to simple data predictions. By the end, you'll have projects you can share and be proud of. Step-by-Step Confidence Building You'll set up your development environment, understand essential Python and machine learning foundations, and use FastAPI and ONNX to turn your models into deployable applications. Each chapter builds your skills naturally, giving you a sense of accomplishment at every stage. Supportive and Encouraging Tone Written as a supportive companion, the book reassures you: "You can do this!" Practical checkpoints, troubleshooting tips, and gentle explanations are there whenever you feel stuck. Key Takeaways and Benefits: Set up Python and all necessary tools, even if you're a total beginner. Train, convert, and deploy machine learning models using industry-standard frameworks (FastAPI, ONNX, Python). Learn best practices for API development, security, and performance-demystified for beginners. Gain confidence with coding and problem-solving by seeing mistakes as part of the learning journey. Discover how AI can solve real-world problems and how you can be part of this exciting field, no matter your background. Your Invitation to a New Skillset If you've ever doubted your ability to enter the tech world, this book is written for you. With "Machine Learning Deployment Made Simple," you'll unlock the tools, guidance, and motivation you need to start coding, deploying, and creating with AI-no experience required. Don't let uncertainty hold you back. Pick up this book and let's take the first step together toward a future where you turn ideas into reality, one line of code at a time. Start your empowering AI journey today-your future as a confident creator begins here.
Artificial Intelligence In Orthopaedic Surgery Made Easy
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Author : Filippo Familiari
language : en
Publisher: Springer Nature
Release Date : 2024-11-19
Artificial Intelligence In Orthopaedic Surgery Made Easy written by Filippo Familiari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Medical categories.
This book is an essential reference guide for the use of artificial intelligence in orthopaedic surgery. It covers all related topics, from machine and deep learning, through practical applications in all orthopaedic sub-disciplines, to ethical issues and potential risks. International renowned experts equip the reader with solid scientific foundations and practical tips combining accurate literature reviews with high-quality original images. Addressing a hot topic for the present and next generation of medical specialists, this book is a must read for orthopaedic surgeons, radiologists and health informatic specialists alike.
Business Statistics Analytics For Decision Making Made Simple
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Author : Dr. Mukul Burghate I Dr. Padmakar Shahare
language : en
Publisher: mukul burghate
Release Date :
Business Statistics Analytics For Decision Making Made Simple written by Dr. Mukul Burghate I Dr. Padmakar Shahare and has been published by mukul burghate this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
The analysis of statistics in business for better decision making is nowadays called Big Data Analytics."Big data analytics refers to the process of collecting, organizing and analyzing large sets of data (called big data) to discover patterns and other useful information. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions. Analysts working with big data basically want the knowledge that comes from analyzing the data."The purpose of this textbook is to present an introduction to the BUSINESS STATISTICS & ANALYTICS FOR DECISION MAKING subject of Management & Commerce. The book contains the syllabus from basics of the subjects going into the intricacies of the subjects. All the concepts have been explained with relevant Numerals, examples and diagrams to make it interesting for the readers.An attempt is made here by the experts to assist the students by way of providing Study Material as per the curriculum with non-commercial considerations. However, it is implicit that these are exam-oriented Study Material and students are advised to attend regular lectures in the Institute and utilize reference books available in the library for In-depth knowledge.We owe to many websites and their free contents; we would like to specially acknowledge contents of website www.wikipedia.com and various authors whose writings formed the basis for this book. We acknowledge our thanks to them. At the end we would like to say that there is always a room for improvement in whatever we do. We would appreciate any suggestions regarding this study material from the readers so that the contents can be made more interesting and meaningful. Readers can email their queries and doubts to our authors on [email protected]. We shall be glad to help you immediately. Authors: Dr Mukul Burghate and Dr Padmakar Shahare
Applied Deep Learning
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Author : Paul Fergus
language : en
Publisher: Springer Nature
Release Date : 2022-07-18
Applied Deep Learning written by Paul Fergus and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Computers categories.
This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.
Java Data Science Made Easy
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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-07
Java Data Science Made Easy written by Richard M. Reese 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 2017-07-07 with Computers categories.
Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing your existing Java stack, this book is for you! What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: Java for Data Science Mastering Java for Data Science Style and approach This course follows a tutorial approach, providing examples of each of the concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.
Aws Certified Cloud Practitioner All In One Exam Guide Exam Clf C01
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Author : Daniel Carter
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-01-12
Aws Certified Cloud Practitioner All In One Exam Guide Exam Clf C01 written by Daniel Carter and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.
This effective study guide offers 100% coverage of every objective for the AWS Certified Cloud Practitioner exam Take the challenging AWS Certified Cloud Practitioner exam with confidence using the detailed information contained in this effective self-study guide. Written by a recognized AWS expert, the book offers 100 percent coverage of all four exam domains: Cloud concepts, security and compliance, technology, and billing and pricing. AWS Certified Cloud Practitioner All-in-One Exam Guide (Exam CLF-C01) is based on proven pedagogy and features special elements that teach and reinforce practical skills. You will get accurate practice questions along with detailed explanations. Beyond exam preparation, the guide also serves as a valuable on-the-job reference. Comprehensive coverage includes: How to obtain AWS Certified Cloud Practitioner certification The value of the AWS Cloud The AWS shared responsibility model AWS Cloud security best practices AWS Cloud costs, economics, and billing practices Core services, including compute, network, databases, and storage AWS services for common use cases AWS Cloud economics Full-length practice exam with explanations And much more Online content includes: 130 practice exam questions Fully customizable exam engine
Machine Learning And Deep Learning Using Python And Tensorflow
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Author : Venkata Reddy Konasani
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-04-29
Machine Learning And Deep Learning Using Python And Tensorflow written by Venkata Reddy Konasani and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Technology & Engineering categories.
Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts Python programming and statistics fundamentals Regression and logistic regression Decision trees Model selection and cross-validation Cluster analysis Random forests and boosting Artificial neural networks TensorFlow and Keras Deep learning hyperparameters Convolutional neural networks Recurrent neural networks and long short-term memory
Learning Onnx Made Easy
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Author : Haider Koele
language : en
Publisher: Independently Published
Release Date : 2025-07-25
Learning Onnx Made Easy written by Haider Koele and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
Learning ONNX Made Easy: Deploy Machine Learning Models Anywhere Feeling overwhelmed by machine learning? Intimidated by code, frameworks, or the idea of "deployment"? You're not alone - and you're not too late to start. This book is your gentle, confidence-boosting guide to unlocking the power of ONNX (Open Neural Network Exchange) without needing a tech degree or years of experience. Learning ONNX Made Easy is designed for true beginners - curious minds who want to explore machine learning, deploy real models, and gain practical tech skills, all without getting lost in jargon or complexity. Whether you're a student, career changer, or lifelong learner, this book makes a powerful promise: You can learn to deploy machine learning models anywhere - and enjoy the process. What makes this book different? ✅ No tech background required. Friendly explanations, clear examples, and zero assumptions. You'll feel guided, not lectured. ✅ Step-by-step projects. Learn by doing - from converting models to running them on different platforms, you'll build confidence with every chapter. ✅ Real-world applications. See how ONNX powers everything from mobile apps to cloud services - and how you can use it in your own projects. ✅ Mistakes welcome. We normalize frustration and celebrate small wins. Every misstep is a learning step. No shame, just support. ✅ Simple visuals & plain English. Because understanding is better than memorizing. Every concept is broken down into bite-sized, visual lessons. ✅ Keywords like ONNX, machine learning deployment, model conversion, edge computing, and cross-platform AI are woven naturally - helping you build not just skills, but tech fluency. By the end of this book, you'll: Understand what ONNX is and why it matters in today's AI-driven world Convert models from popular frameworks like PyTorch or TensorFlow to ONNX with ease Deploy models across platforms - cloud, edge, web, and mobile Gain real-world, job-ready skills you can actually use Feel proud of your progress - and excited to keep learning Learning ONNX Made Easy isn't just a book. It's a mentor, a cheerleader, and a roadmap - all rolled into one. If you've ever said, "I wish I could learn tech, but I don't know where to start," this is your sign. Your journey doesn't have to be hard. It just has to begin. Start now - and let this book walk beside you every step of the way.
Aws Certified Developer Associate All In One Exam Guide Exam Dva C01
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Author : Kamesh Ganesan
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-27
Aws Certified Developer Associate All In One Exam Guide Exam Dva C01 written by Kamesh Ganesan and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.
This effective self-study system delivers complete coverage of every topic on the AWS Certified Developer Associate Exam Take the challenging AWS Certified Developer Associate Exam with confidence using the comprehensive information contained in this effective test preparation guide. Written by an Amazon Web Services certified expert and experienced trainer, AWS Certified Developer Associate All-in-One Exam Guide (Exam DVA-C01) covers every subject on the exam and clearly explains how to create, deploy, migrate, monitor, and debug cloud-native applications. Designed to help you pass the exam with ease, this guide also serves as an ideal on-the-job reference. Covers all topics on the exam, including: Getting started with AWS Journey AWS high availability and fault tolerance Working with cloud storage Authentication and authorization Creating SQL and NoSQL databases in AWS Cloud AWS application integration and management Developing cloud-native applications in AWS Building, deploying, and debugging cloud applications Electronic content includes: 130 practice questions Test engine containing full-length practice exams and customizable quizzes
Natural Language Processing In Action Second Edition
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Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Natural Language Processing In Action Second Edition written by Hobson Lane 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 2025-02-25 with Computers categories.
Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs). In Natural Language Processing in Action, Second Edition you will learn how to: • Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results. About the technology From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing. About the book Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more. What's inside • NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots About the reader For intermediate Python programmers familiar with deep learning basics. About the author Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were co-authors of the first edition.