Machine Learning for Tabular Data
by Mark Ryan
Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teaches you to train insightful machine learning models on common tabular business data sources such as spreadsheets, data…
36 AI-mapped connections to other books on Hikara
Books that ECHO Machine Learning for Tabular Data
Reads that harmonize with similar ideas, themes, or philosophies.
Data Science from Scratch
Joel Grus
Practical MLOps
Noah Gift, Alfredo Deza
Practical Statistics for Data Scientists
Peter Bruce, Andrew Bruce, Peter Gedeck
Applied Machine Learning
Jason Hodson
Machine Learning Algorithms in Depth
Vadim Smolyakov
Practical Lakehouse Architecture
Gaurav Ashok Thalpati
Think Like a Data Scientist
Brian Godsey
Designing Machine Learning Systems
Chip Huyen
Books that BRIDGE from Machine Learning for Tabular Data
Cross-domain reads that transfer ideas into new fields.
Storytelling with Data
Cole Nussbaumer Knaflic
Fundamentals for Self-Taught Programmers
Jasmine Greenaway
Scaling Machine Learning with Spark
Adi Polak
R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
Build a Career in Data Science
Emily Robinson, Jacqueline Nolis
Python for Data Analysis
Wes McKinney
Data Science for Business
Foster Provost, Tom Fawcett
Kubernetes in Action, Second Edition
Marko Lukša, Kevin Conner
The Self-Taught Cloud Computing Engineer
Dr. Logan Song
Learning Spark
Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee
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