5 Practical Books for Python Machine Learning

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...

Guy Gentile Introduces AI Trading Edge, a 25-Chapter Guide to Building Machine-Learning Systems for Real Markets

Companion Python code connects market-data research, feature engineering, model validation and execution in a practical quantitative workflow.Dubai, United Arab Emirates--(Newsfile Corp. - October 9, ...
BIOENGINEER

Survivex brings GPU-accelerated survival analysis to Python

Survival analysis, the branch of statistics devoted to modeling the time until an event occurs, has long been a stronghold of ...
Analytics Insight

From Models to Systems: Moxank Patel on Building Machine Learning That Works at Scale

Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

4 Practical Books on Python Machine Learning

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...