Low Code Ai
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Low-Code AI
Author: Gwendolyn Stripling
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2023-09-13
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
Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops
Author: Antonios Papaleonidas
language: en
Publisher: Springer Nature
Release Date: 2025-06-24
This 2-volume set constitutes the refereed proceedings of International Workshops, held as parallel events of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, held in Limassol, Cyprus, during June 26–29, 2025. The 44 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 117 submissions. The AIAI 2025 conference hosts several workshops that support innovative research on various specific and hot scientific domains every year. These satellite events offer a deep insight into both rapid advances and timely creative applications of AI.
The Revolution Of AI Agents: How Autonomous Systems Are Transforming Technology, Business, and Society
We are living in an era where AI agents and autonomous systems are no longer science fiction—they are reshaping businesses, industries, and our daily lives at an unprecedented pace. From Chatbots and Virtual Assistants to AI-driven decision-making, smart automation, and autonomous enterprises, the world is shifting toward a future where AI is a powerful collaborator rather than just a tool. In The AI Agent Revolution, Jayant Deshmukh, an AI expert and digital transformation strategist, takes you on an insightful journey into how AI agents are redefining industries, jobs, and society itself. This book is a must-read for business leaders, entrepreneurs, professionals, and technology enthusiasts who want to understand how to leverage AI for success in a rapidly evolving digital landscape. What You Will Discover in This Book: ✅ AI Agents in Business & Society – How companies are using AI-powered automation to enhance efficiency, optimize decision-making, and create next-gen customer experiences. ✅ The Power of No-Code/Low-Code AI – How citizen developers and businesses are leveraging AI without coding expertise to drive digital transformation. ✅ AI in the Metaverse & Web3 – The convergence of AI, Blockchain, Smart Contracts, and Decentralized Applications (DApps) that will revolutionize digital interactions. ✅ AI Ethics, Governance & Regulations – Addressing AI bias, fairness, responsible AI practices, and regulatory frameworks for a sustainable AI-powered future. ✅ The Future of Work & Jobs – Will AI replace jobs or create new opportunities? Learn how professionals and businesses can adapt, reskill, and thrive in an AI-first world. ✅ AI’s Role in Solving Global Challenges – How AI is being used to tackle climate change, healthcare advancements, financial automation, and governance. ✅ Autonomous AI & AGI (Artificial General Intelligence) – The future of self-learning, fully autonomous AI agents and their impact on industries and human life. Who Should Read This Book? 🔹 Business Leaders & Entrepreneurs – Discover how to integrate AI agents into your business strategy to gain a competitive edge. 🔹 Tech Professionals & AI Enthusiasts – Stay ahead of the curve with insights into AI trends, automation, and future innovations. 🔹 Students & Researchers – Understand the fundamentals and advancements of AI agents and their societal implications. 🔹 Policy Makers & Regulators – Learn about the governance, ethics, and responsible AI frameworks shaping the future. Embrace the AI Revolution Today! Whether you are an entrepreneur looking to automate workflows, a business leader wanting to scale AI-powered decision-making, or an individual seeking to future-proof your career, this book provides a comprehensive roadmap to thrive in the AI-driven world. 📖 Get your copy now and step into the future with AI-powered transformation! 🚀