Description
Apress Monetizing Machine Learning: Quickly Turn Python Ml Ideas Into Web Applications On The Serverless Cloud by Amunategui
Chapter 1 Introduction to Serverless Technologies.- Chapter 2 Client-Side Intelligence using Regression Coefficients on Azure.- Chapter 3 Real-Time Intelligence with Logistic Regression on GCP.- Chapter 4 Pre-Trained Intelligence with Gradient Boosting Machine on AWS.- Chapter 5 Case Study Part 1: Supporting Both Web and Mobile Browsers.- Chapter 6 Displaying Predictions with Google Maps on Azure.- Chapter 7 Forecasting with Naive Bayes and OpenWeather on AWS.- Chapter 8 Interactive Drawing Canvas and Digit Predictions using TensorFlow on GCP.- Chapter 9 Case Study Part 2: Displaying Dynamic Charts.- Chapter 10 Recommending with Singular Value Decomposition on GCP.- Chapter 11 Simplifying Complex Concepts with NLP and Visualization on Azure.- Chapter 12 Case Study Part 3: Enriching Content with Fundamental Financial Information.- Chapter 13 Google Analytics.- Chapter 14 A/B Testing on PythonAnywhere and MySQL.- Chapter 15 From Visitor To Subscriber.- Chapter 16 Case Study Part 4: Building a Subscription Paywall with Memberful.- Chapter 17 Conclusion.-