ml

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.

Learn how to integrate machine learning into iOS apps. Hands-on Swift 5 coding using CoreML 2, Vision, NLP and CreateML.

Automate Song Recommendations with Docker, MLFlow, and CI/CD Practices for Machine Learning Algorithms.

Learn Kubeflow by Example with Machine Learning - Deploy ML AI Pipelines on Google Cloud Platform - Kubernetes & AWS

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products.

Deployment, Generative AI, LLMs, GPT4, ML-Ops, LoRa, AVQ, Ray, RabbitMQ, Flash Paged Attention