Machine learning with R : classification.

Training a support vector machine in R with mlr,
Published: (2020)

Machine learning with R : introduction and regression.
Published: (2018)

The art of machine learning : a hands-on guide to machine learning with R /
by: Matloff, Norman S.
Published: (2024)

Practical Machine Learning in R.
by: Nwanganga, Fred
Published: (2020)

Machine learning with R : expert techniques for predictive modeling /
by: Lantz, Brett
Published: (2019)

Data science, analytics and machine learning with R /
by: Fávero, Luiz Paulo, et al.
Published: (2023)

Machine learning with Python : introduction and classification.
Published: (2018)

Gradient descent : practice.
Published: (2018)

Getting started with machine learning in R /
Published: (2018)

Supervised machine learning : optimization framework and applications with SAS and R /
by: Kolosova, Tanya, et al.
Published: (2021)

Machine learning projects with Java /
Published: (2019)

Distributed machine learning with Python : accelerating model training and serving with distributed systems /
by: Wang, Guanhua
Published: (2022)

Hands-on machine learning for algorithmic trading bots with Python.
Published: (2019)

Support vector machine (SVM) : practice.
Published: (2018)

Python machine learning by example : build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn /
by: Liu, Yuxi (Hayden)
Published: (2020)

Mathematics and R programming for machine learning : from the ground up /
by: Claster, William B.
Published: (2020)

PyTorch deep learning in 7 days /
Published: (2019)

Deep Learning for Beginners
by: Rivas, Dr. Pablo
Published: (2020)

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data /
by: Lantz, Brett
Published: (2023)

Machine learning : kurz & gut /
by: Nguyen, Chi Nhan, et al.
Published: (2018)

Deep learning : from big data to artificial intelligence with R /
by: Tuffery, Stéphane
Published: (2023)

Introduction to deep learning and neural networks with Python /
by: Gad, Ahmed, et al.
Published: (2020)

Learn about classification tree in Python with data from the Adult Census Income dataset (1996) /
by: Shi, Feng, active 2019
Published: (2019)

Data science solutions with Python : fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn /
by: Tshepo, Chris Nokeri
Published: (2022)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Machine learning : a theoretical approach /
by: Natarajan, Balas Kausik
Published: (1991)

Conformal prediction for reliable machine learning : theory, adaptations, and applications /
Published: (2014)

Machine learning with R : learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data /
by: Lantz, Brett
Published: (2023)

Hands-on machine learning with R /
by: Boehmke, Brad, et al.
Published: (2020)

Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)

Machine learning : proceedings of the seventh international conference (1990), University of Texas, Austin, Texas, June 21-23, 1990 /
Published: (1990)

Machine learning : proceedings of the tenth international conference, University of Massachusetts, Amherst, June 27-29, 1993 /
Published: (1993)

Introduction to machine learning : theory.
Published: (2018)

Scaled Forecasting with Python and R /
Published: (2021)

Hands-on network machine learning with Python /
by: Bridgeford, Eric W., et al.
Published: (2025)

Thinking machines : machine learning and its hardware implementation /
by: Takano, Shigeyuki
Published: (2021)