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English Beginner Machine Learning

Knowledge Engineering, Machine Learning and Lattice Computing with Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers

Tadeusz Lasota,Zbigniew Telec,Bogdan Trawiński,Grzegorz Trawiński (auth.),Manuel Graña,Carlos Toro,Robert J. Howlett,Lakhmi C. Jain (eds.)

Introduction Welcome to "Knowledge Engineering, Machine Learning and Lattice Computing with Applications," a comprehensive tome derived from the 16th International Conference, KES …

2013 View book

English Beginner Machine Learning

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II

Xiaofei He,Xinbo Gao,Yanning Zhang,Zhi-Hua Zhou,Zhi-Yong Liu,Baochuan Fu,Fuyuan Hu,Zhancheng Zhang (eds.)

Introduction Welcome to 'Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, …

2015 View book

English Beginner Machine Learning

State-Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods

Gerasimos G. Rigatos

Introduction Delve into the intricate world of financial engineering with 'State-Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and …

2017 View book

English Beginner Machine Learning

Building Intelligent Systems: A Guide to Machine Learning Engineering

Geoff Hulten

Introduction to "Building Intelligent Systems: A Guide to Machine Learning Engineering" Welcome to "Building Intelligent Systems: A Guide to Machine Learning Engineering," …

2018 View book

English Beginner Machine Learning

Feature Engineering for Machine Learning and Data Analytics

Dong, Guozhu;Liu, Huan

Introduction Feature Engineering for Machine Learning and Data Analytics is an influential work that provides an in-depth exploration of the critical role …

2018 View book

English Beginner Artificial Intelligence (AI)

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Alice Zheng,Amanda Casari

Introduction to Feature Engineering for Machine Learning Welcome to the insightful world of feature engineering - a critical step in the machine …

2018 View book

English Beginner Applied Mathematics

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton,J. Nathan Kutz

Welcome to 'Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control', a comprehensive guide that bridges the gap between data-driven methodologies …

2019 View book

English Beginner Algorithms

Data Science from Scratch: First Principles with Python

Joel Grus

Introduction to Data Science from Scratch: First Principles with Python Data Science from Scratch: First Principles with Python by Joel Grus offers …

2015 View book

English Beginner Art

DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond [REVISED & EXPANDED EDITION]

WILLIAM GRAY

Introduction Welcome to the revised and expanded edition of "DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy …

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English Beginner Software Engineering

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Introduction Welcome to a journey through the cutting-edge landscape of data science with Streamlit. Whether you're looking to streamline the development of …

2021 View book

English Beginner Algebra

Data science from scratch: the #1 data science guide for everything a data scientist needs to know: Python, linear algebra, statistics, coding, applications, neural networks, and decision trees

Steven Cooper

Introduction to "Data Science from Scratch: The" Welcome to "Data Science from Scratch: The," an illuminating journey into the world of data …

2018 View book

English Beginner Software Engineering

Data Science from Scratch: First Principles with Python, Second Edition

Joel Grus

Introduction to 'Data Science from Scratch: First Principles with Python, Second Edition' In the dynamic and fast-evolving field of data science, foundational …

2019 View book

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications: 16th International Conference, KES 2012, San Sebastian, Spain, September 10-12, 2012, Revised Selected Papers

Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II

State-Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods

Building Intelligent Systems: A Guide to Machine Learning Engineering

Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Data Science from Scratch: First Principles with Python

DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond [REVISED & EXPANDED EDITION]

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python

Data science from scratch: the #1 data science guide for everything a data scientist needs to know: Python, linear algebra, statistics, coding, applications, neural networks, and decision trees

Data Science from Scratch: First Principles with Python, Second Edition