Download or read book No Code Artificial Intelligence written by Ambuj Agrawal and published by BPB Publications. This book was released on 2023-03-07 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide that will help you build AI and ML solutions faster with fewer efforts and no programming knowledge KEY FEATURES ● Start your journey to become an AI expert today. ● Learn how to build AI solutions to solve complex problems in your organization. ● Get familiar with different No-code AI tools and platforms. DESCRIPTION “No-Code Artificial Intelligence” is a book that enables you to develop AI applications without any programming knowledge. Authored by the founder of AICromo (https://aicromo.com/), this book takes you through an array of examples that shows how to build AI solutions using No-code AI tools. The book starts by sharing insights on the evolution of No-code AI and the different types of No-code AI tools and platforms available in the market. The book then helps you start building applications of Machine Learning in Finance, Healthcare, Sales, and Cybersecurity. It will also teach you to create AI applications to perform sales forecasting, find fraudulent claims, and detect diseases in plants. Furthermore, the book will show how to build Machine Learning models for a variety of use cases in image recognition, video object recognition, and data prediction. After reading this book, you will be able to build AI applications with ease. WHAT YOU WILL LEARN ● Use different No-code AI tools such as AWS Sagemaker, DataRobot, and Google AutoML. ● Learn how to create a Machine Learning model to predict housing prices. ● Build Natural Language Processing (NLP) models for Healthcare information Identification. ● Learn how to build an AI model to create targeted customer offerings. ● Use traditional ways to perform AI implementation using programming languages and AI libraries. WHO THIS BOOK IS FOR This book is for anyone who wants to build an AI app without writing any code. It is also helpful for current and aspiring AI and Machine Learning professionals who are looking to build automated, intelligent, and smart AI-based solutions. TABLE OF CONTENTS 1. What is AI? 2. Getting Started with No-Code AI 3. Building AI Model to Predict Housing Prices 4. Classifying Different Images 5. Building AI Model to Perform Sales Forecasting 6. Building AI Model to Find Fraudulent Claims 7. Building AI Model to Detect Diseases in Plants 8. Building AI Model to Create Targeted Customer Offerings 9. Building AI Model for Healthcare Information Identification 10. Building AI Model for Video Action Recognition 11. Building AI Applications with Coded AI
Download or read book No code Ai Concepts And Applications In Machine Learning Visualization And Cloud Platforms written by Minsoo Kang and published by World Scientific. This book was released on 2024-07-19 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background. It introduces AI, machine learning, and deep learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects.This guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.
Download or read book Low Code AI written by Gwendolyn Stripling and published by "O'Reilly Media, Inc.". This book was released on 2023-09-13 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish between structured and unstructured data and the challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different ML model types and architectures, from no code to low code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance
Download or read book No Code AI written by Sung Yul Park Myung-Ae Ch Min Soo Kang and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a beginner-friendly guide to artificial intelligence (AI), ideal for those with no technical background. It introduces AI, machine learning, and deep learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects. This guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.
Download or read book AI and Machine Learning for Coders written by Laurence Moroney and published by O'Reilly Media. This book was released on 2020-10-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
Download or read book NO CODE ARTIFICIAL INTELLIGENCE written by Ambuj Agrawal and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide that will help you build AI and ML solutions faster with fewer efforts and no programming knowledge.
Download or read book HBR Guide to AI Basics for Managers written by Harvard Business Review and published by Harvard Business Press. This book was released on 2023-01-10 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is ready for business. Are you ready for AI? From financial modeling and product design to performance management and hiring decisions, AI and machine learning are becoming everyday tools for managers at businesses of all sizes. But AI systems come with benefits and downsides—and if you can't make sense of them, you're not going to make the right decisions. Whether you need to get up to speed quickly or need a refresher, or you're working with an AI expert for the first time, the HBR Guide to AI Basics for Managers will give you the information and skills you need to succeed. You'll learn how to: Understand key AI terms and concepts Recognize which of your projects would benefit from AI Work more effectively with your data team Hire the right AI vendors and consultants Deal with ethical risks before they arise Scale AI across your organization Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.
Download or read book Strategizing AI in Business and Education written by Aleksandra Przegalinska and published by Cambridge University Press. This book was released on 2023-04-06 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Download or read book The AI Revolution in Networking Cybersecurity and Emerging Technologies written by Omar Santos and published by Addison-Wesley Professional. This book was released on 2024-02-05 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More. AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more. In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow. You'll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company. Are you ready to join The AI Revolution in Networking, Cybersecurity, and Emerging Technologies? Gain industry-specific knowledge from experienced professionals Discover new capabilities like self-healing networks and predictive analytics Learn how AI can save time by detecting and correcting issues in real time Master techniques for security monitoring and alerting Understand potential security and privacy pitfalls of using AI, and how to guard against them Understand how AI works for you and with you Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Download or read book The Creativity Code written by Marcus Du Sautoy and published by Harvard University Press. This book was released on 2020-03-03 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times
Download or read book Unlocking the Power of AI written by Myra Roldan and published by American Society for Training and Development. This book was released on 2024-01-01 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence adoption is accelerating across industries, but many learning teams may not be moving the needle fast enough. Now is the prime opportunity for learning teams to prioritize its usage. However, although some L&D professionals have experimented with generative AI tools, few know what the game-changing technology really is. In this issue of TD at Work, Myra Roldan shares: A simplified explanation of how AI works The difference between traditional AI and generative AI Sample use cases for L&D professionals to think about A brief overview of how to get started using AI Some notes on privacy and ethics The Tools & Resources in this issue are an Artificial Intelligence Tool Evaluation Worksheet and an Artificial Intelligence Project Planning Checklist.
Download or read book Considering the History of Technologies in Education the Distinctiveness of AI Apps and the Future of Educational Systems written by and published by STAR SCHOLARS PRESS. This book was released on with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considering the History of Technologies in Education, the Distinctiveness of AI Apps, and the Future of Educational Systems
Download or read book The No Code Guide to Artificial Intelligence and Machine Learning written by Hyun-Jeong Yoo and published by . This book was released on 2018-03-22 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Okay so AI has been in the news lately. Some rich tech billionaire says AI (or deep learning?) is going to take all the jobs and we are going to be poor on the streets or something. Or maybe you read some article by some dude that AI is in fact a dumb thing. This book is designed to teach you a very specific thing. Its goal is to get you to one place.This book wants you to do just one thing: Know just enough AI so that you can talk about it in a business meeting without a triggering a BS detector. You will not learn how to program AI or deep learning or machine learning or whatever here. There is no real reason to learn it - more on why I say that in the book. You are not going to spend pages reading about how AI will ruin our lives as we know it. For the most part, the stuff does not really work. More on why in the book. We are going to talk about AI in the real world - the issues that creators and users of the products experience everyday. Learn about what gets people to tear out their hair or shake their heads in frustration. By reading this book, you can expect to get: * A crash course that at least tells you the differences between AI, machine learning, deep learning and neural networks. * A rundown of today's AI applications from speech recognition to self-driving cars * An overview of possible AI-centric revenue models * A discussion of various issues in AI business entrepreneurship * An analysis on the process of deep learning product development including accuracy improvement, knowledge transfer and designWritten out of experiences spent working in business development for an AI company, this book dives into the AI and how it affects the corporate world. It is meant to be accessible and engaging, the right way to take your first steps into a new world. Download a sample and check it out.
Download or read book AI The new intelligence in sales written by Livia Rainsberger and published by Springer Nature. This book was released on 2022-09-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers sales managers a quick overview of the possible applications of artificial intelligence in sales and explains basic functionalities. What is behind terms such as Sales Automation, Sales AI Analytics, Sales Enablement, Conversational AI, Lead Intelligence, Dynamic Pricing, Sales Management Intelligence and many more? Where is the concrete potential for sales organizations? And how will AI change the work in sales? The author presents the AI tools available on the market today and their application and describes the advantages and disadvantages as well as the limits and possibilities using clear examples. Executives in marketing and sales as well as entrepreneurs and managing directors, especially in medium-sized companies, will receive answers to the most important questions and additionally concrete recommendations for action for the implementation in their own companies.
Download or read book Enterprise AI in the Cloud written by Rabi Jay and published by John Wiley & Sons. This book was released on 2023-12-20 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You’ll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.
Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
