Machine Learning Mode Serving Patterns

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio.

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018.

PyTorch is the best Deep Learning library there (currently) is, period! Doing ML with PyTorch feels like a superpower (of course, there are bad parts, too). Trust me, I have a book on TensorFlow and Keras! This opinion comes from my real-world experience, as a Machine Learning Engineer, and writer of numerous Machine Learning and Deep Learning tutorials.

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions.

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems