$Cover Image$

The Essential Machine Learning Foundations: Math, Probability, Statistics, and Computer Science (Video Collection) /

27+ Hours of Video Instruction An outstanding data scientist or machine learning engineer must master more than the basics of using ML algorithms with the most popular libraries, such as scikit-learn and Keras. To train innovative models or deploy them to run performantly in production, an in-depth...

Full description

Bibliographic Details
Main Author:	Krohn, Jon (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	Addison-Wesley Professional, 2022.
Edition:	1st edition
Subjects:	Electronic videos.
Online Access:	Connect to this electronic resource

Similar Items

Probability and Statistics for Machine Learning /
by: Krohn, Jon
Published: (2021)

Linear Algebra for Machine Learning /
by: Krohn, Jon
Published: (2020)

Data Structures, Algorithms, and Machine Learning Optimization /
by: Krohn, Jon
Published: (2021)

Machine Vision, GANs, and Deep Reinforcement Learning /
by: Krohn, Jon
Published: (2020)

Foundations of machine learning /
by: Mohri, Mehryar
Published: (2012)

Foundations of machine learning /
by: Mohri, Mehryar, et al.
Published: (2018)

Machine Learning Foundations : Supervised, Unsupervised, and Advanced Learning /
by: Jo, Taeho
Published: (2021)

Foundations and trends in machine learning.
Published: (2008)

Deep Learning with TensorFlow : Applications of Deep Neural Networks to Machine Learning Tasks /
by: Krohn, Jon
Published: (2017)

Deep Learning for Natural Language Processing : Applications of Deep Neural Networks to Machine Learning Tasks /
by: Krohn, Jon
Published: (2017)

Mathematical Foundation for AI and Machine Learning /
by: Eduonix
Published: (2018)

Python for Probability, Statistics, and Machine Learning /
by: Unpingco, José
Published: (2019)

Artificial Intelligence and Machine Learning Foundations Learning from experience
by: Lowe, Andrew, et al.
Published: (2024)

Probability for statistics and machine learning : fundamentals and advanced topics /
by: DasGupta, Anirban
Published: (2011)

Introduction to machine learning : from math to code /
by: Wang, Ruye
Published: (2026)

Deep Reinforcement Learning and GANs : Advanced Topics in Deep Learning /
by: Krohn, Jon
Published: (2018)

De-Mystifying Math & Stats for Machine Learning : Mastering the Fundamentals of Mathematics and Statistics for Machine Learning /
by: Kumar, Govind
Published: (2021)

Why machines learn : the elegant math behind modern AI /
by: Ananthaswamy, Anil
Published: (2024)

Machine learning for signal processing : data science, algorithms, and computational statistics /
by: Little, Max A.
Published: (2019)

Machine learning for signal processing : data science, algorithms, and computational statistics /
by: Little, Max A.
Published: (2019)

Statistics for Machine Learning /
by: Dangeti, Pratap
Published: (2017)

Machine learning in chemistry /
by: Janet, Jon Paul, et al.
Published: (2020)

Machine learning and statistics : the interface /
Published: (1997)

Machine Learning with Spark and Python® - Essential Techniques for Predictive Analytics
by: Bowles, Michael
Published: (2020)

Deep Learning with TensorFlow, Keras, and PyTorch /
by: Krohn, Jon
Published: (2020)

Learning machines ; foundations of trainable pattern-classifying systems /
by: Nilsson, Nils J., 1933-2019
Published: (1965)

Handbook of machine foundations /
by: Srinivasulu, P.
Published: (1977)

Machine Learning : A Practical Approach on the Statistical Learning Theory /
by: Fernandes de Mello, Rodrigo, et al.
Published: (2018)

Machine learning : new and collected stories /
by: Howey, Hugh
Published: (2017)

Grokking Machine Learning, video edition /
by: Serrano, Luis G.
Published: (2021)

Deep Learning for Natural Language Processing, 2nd Edition /
by: Krohn, Jon
Published: (2020)

Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2016)

Machine learning refined : foundations, algorithms, and applications /
by: Watt, Jeremy, et al.
Published: (2020)

Essentials of machine olfaction and taste /
Published: (2016)

Machine learning in Python : essential techniques for predictive analysis /
by: Bowles, Michael
Published: (2015)

Introduction to statistical machine learning /
by: Sugiyama, Masashi
Published: (2016)

Mathematical Optimization for Machine Learning : Proceedings of the MATH+ Thematic Einstein Semester 2023
by: Fackeldey, Konstantin
Published: (2025)

Essentials of learning.
by: Travers, Robert Morris William, 1913-
Published: (1963)

Essentials of learning /
by: Travers, Robert Morris William, 1913-
Published: (1977)

Essential Math for Data Science /
by: Nield, Thomas
Published: (2022)