Machine Learning: The Basics

Machine Learning: The Basics By Jung, Alexander Published by Springer Publication Date: 2022-01-22 Subject: Computers Artificial Intelligence General, Computers Computer Science, Computers Data Science Data Analytics, Computers Information Theory, Computers Artificial Intelligence - General, Computers Computer Science, Computers Data Science - Data Analytics, Computers Information Theory, Algorithms & Data Structures, Artificial Intelligence, Computer Science, Data Mining, Machine Learning, Databases, Expert Systems Knowledge-Based Systems, Mathematical Theory Of Computation, Machine Learning, Algorithms & Data Structures, Artificial Intelligence, Computer Science, Data Mining, Computers Artificial Intelligence General, Computers, Artificial Intelligence, General, Computers Information Theory, Information Theory, Computers Computer Science, Computer Science, Computers Data Science Data Analytics, Data Science, Data Analytics, Databases, Mathematical Theory Of Computation, Expert Systems Knowledge-Based Systems, Expert Systems, Knowledge-Based Systems, Anf: Computers And It Subject Keywords: Machine Learning; Modelling; Artificial Intelligence; Deep Learning; Optimization; Data Analysis; Signal Processing; Statistical Learning Theory; Applied Statistics Genre: Machine Learning, Algorithms & Data Structures, Artificial Intelligence, Computer Science, Data Mining, Computers, Artificial Intelligence, General, Computers, Information Theory, Computers, Computer Science, Computers, Data Science, Data Analytics, Machine Learning, Databases, Artificial Intelligence, Mathematical Theory Of Computation, Data Mining, Expert Systems, Knowledge-Based Systems Target Audience: Professional and scholarly