Danny Boy is ‘gloriously nostalgic’ My Weekly Books of 2023 choice ‘A terrific, edge-of-the-seat story … whose ending had me in the right kind of tears’ Maggie Gee ‘As evocative as Graham Green's iconic Brighton Rock ***** Amazon reviewer ‘Fantastic storytelling’ ***** Amazon reviewer ‘Gripping story – engaging, entertaining and moving. A terrific read’ ***** Amazon reviewer Danny Byrne has grown up on a sprawling council estate in Pimlico. He knows every stone of it, and until now, his life has followed the same pattern as all his friends. Danny is heading for A-levels and then university. Dodds is following his dad into the family butcher’s business, Crockett will sail on opportunity’s wings as it comes his way, and Nobby is flirting with drugs, and disaster. As the long summer unfolds, the boys focus on girls, trade banter and test their friendships to the limit. When things take a darker turn, Danny must wrestle with his conscience and is pushed to breaking point. Can Danny find love and work out what is important to become the kind of man he wants to be? Praise for Barry Walsh: ‘Perfectly evokes the era’ Daily Mail ‘Refreshing… a nostalgic and heartfelt novel’ Pen and Paper Blog ‘A beautifully written tale… poignant’ Andrew Blackman, author of A Virtual Love

This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to app. From an initial look at the context and ecosystem of AI solutions today, the book drills down from high-level business needs into best practices, working with stakeholders, and agile team collaboration. From there you'll explore data pipeline orchestration, machine and deep learning, including working with and finding shortcuts using artificial neural networks such as AutoML and AutoAI. You'll also learn about the increasing use of NoLo UIs through AI application development, industry case studies, and finally a practical guide to deploying containerized AI solutions. The book is intended for those whose role demands overcoming budgetary barriers or constraints in accessing cloud credits to undertake the often difficult process of developing and deploying an AI solution. What You Will Learn Develop and deliver production-grade AI in one month Deploy AI solutions at a low cost Work around Big Tech dominance and develop MVPs on the cheap Create demo-ready solutions without overly complex python scripts/notebooks Who this book is for: Data scientists and AI consultants with programming skills in Python and driven to succeed in AI.