Serverless Machine Learning - A Beginner's Guide

Explore serverless machine learning in this 45-minute conference talk from Devoxx. Gain an introduction to both serverless technology and machine learning, and discover how combining them can simplify the integration of ML into your applications. Learn about the current state of machine learning, traditional approaches, and how to build a complete serverless ML pipeline from training to prediction. Understand how serverless technology eliminates the need to manage large datasets and infrastructure, allowing you to focus on extracting value from your data. Follow along as the speakers demonstrate creating a serverless machine learning workflow using tools like TensorFlow and Google Cloud products such as Cloud Functions and Cloud Machine Learning Engine. Dive into the steps involved in training, processing data, prediction, and testing in a serverless environment. No prior machine learning experience is required for this beginner-friendly guide to serverless ML.

Introduction
What is machine learning
Why use machine learning
Demo
Mistake
Training new models
Serverless in production
Machine learning workflow
Tensorflow
What is TensorFlow
TensorFlow on other hardware
Cloud Machine Learning Engine
Endtoend
Pieces of our application
Google Cloud Products
Cloud Functions
Training
Processing Data
Serverless Steps
Prediction
Testing
Resources