Software Engineering For Data Scientists

O'Reilly Media

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Addison Wesley

Modern Software Engineering: Doing What Works to Build Better Software Faster

MLflow from Zero to Production: Step-by-Step MLOps Workflows for Data Scientists and ML Engineers (English Edition)

R Programming Data Scientist’s Toolkit: Practical Guide to Metrics Wrangling and Modeling (The Developer's Guide series Book 21) (English Edition)

Databricks ML for Data Scientists and Engineers: Build Scalable Machine Learning Models with Confidence Using Feature Engineering, AutoML, and Model Deployment (English Edition)

The Data Scientist's Mindset: Think Like a Pro A Hands-On Guide to Problem Framing, Feature Engineering, Model Selection, and Storytelling with Data (English Edition)

The Python Data Scientist's Toolkit: Mastering Pandas, NumPy, and SciPy for Data Analysis and Machine Learning (English Edition)

Applied MLOps: From Model Development to Scalable Production for Data Scientists and ML Engineers (Books on Tech Book 89) (English Edition)

DATA ANALYSIS WITH PYTHON : A Practical Introduction to Pandas, NumPy, Matplotlib, and Scikitlearn for Aspiring Data Scientists and Analysts (English Edition)

Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists (Revised Edition) (English Edition)