Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.

Nguồn ngoài
Programming for the Web - From Soup to Nuts - Implementing a Complete GIS Web Page
Charles W. Kann III · Gettysburg College
Có trong mục lục: 5.07: A JavaScript Object Model that Includes Encapsulation and Data Hiding · 5.08: Unstructured Data

Nguồn ngoài
A Career in Sociology
Vera Kennedy · West Hills College Lemoore
Có trong mục lục: 1.04: Data Collection and Analysis

Nguồn ngoài
PSY 190: Statistics for the Behavioral Sciences
Kevin R. Smith · Rio Hondo College
Có trong mục lục: 1.03: Types of Data and How to Collect Them · 1.04: Collecting Data · 02: Describing Data using Distributions and Graphs

Nguồn ngoài
Student Development 001 for College Success
Pedro Garcia and Paige Ortiz · Coalinga College
Có trong mục lục: 9.12: Using Databases

Nguồn ngoài
Math C100: Liberal Arts Mathematics
Chau D. Tran · Coastline College
Có trong mục lục: 05: Data and Statistics · 5.02: Describing Data · 6.02: Logarithmic Scales in Natural Sciences

Nguồn ngoài
MAT 1350: Precalculus Part I
Jay Abramson · Prince George's Community College
Có trong mục lục: 3.8.03: Fitting Linear Models to Data · 4.03: Fitting Linear Models to Data · 6.08: Fitting Exponential Models to Data

Nguồn ngoài
The Missing Link - An Introduction to Web Development
Michael Mendez · SUNY Fredonia
Có trong mục lục: 3.05: Data Storage · 3.06: Data Manipulation · 04: Persistent Data Storage

Nguồn ngoài
Principles of Microeconomics
Douglas Curtis and Ian Irvine · Trent University & Concordia University
Có trong mục lục: 02: Theories data and beliefs · 2.01: Data analysis · 2.02: Data theory and economic models

Nguồn ngoài
Earth Science
CK-12 Foundation · LibreTexts
Có trong mục lục: 01: The Nature of Science · 1.06: The Nature of Science- Challenge 1 · 1.12: The Nature of Science- Challenge 2

Nguồn ngoài
Graphic Design and Print Production Fundamentals
Graphic Communications Open Textbook Collective · BCCampus
Có trong mục lục: 4.05: Colour Science · 6.07: Variable Data Printing

Nguồn ngoài
Introduction to Ocean Sciences 6e
Douglas A. Segar · American Meteorological Society
Có trong mục lục: 1.03: How to Study Ocean Data

Nguồn ngoài
Cultural Geography (C-ID GEOG 120)
Jean-Yves Merilus · Coalinga College
Có trong mục lục: 7.02: Definitions and Data

Nguồn ngoài
Math for Educators (MATH 010A and 010B CID120)
Lynn Mann · LibreTexts
Có trong mục lục: 10.04: Measures of the Location of the Data · 10.4E: Measures of the Location of the Data (Exercises) · 10.06: Measures of the Center of the Data

Nguồn ngoài
Biology for an Informed World
Trevor Rivers · University of Kansas
Có trong mục lục: 1.03: The Process of Science · 1.04: Working with Data · 1.4.01: What Are Data

Nguồn ngoài
Introduction to Conservation Biology
Amie Mazzoni Frazer · Fresno City College
Có trong mục lục: 02: The Process of Science · 2.01: What is Science · 2.04: Basic and Applied Science

Nguồn ngoài
Criminal Justice in the Urban Community
Lumen Learning · Lumen Learning
Có trong mục lục: 1.01: Analyzing Race Crime and Urban Violence After Ferguson- Research Perspectives and Data · 10: Empirical Data and Research Methods

Nguồn ngoài
Logical Reasoning
Bradley H. Dowden · California State University Sacramento
Có trong mục lục: 13.02: Obstacles to Collecting Reliable Data · 15.01: What is Science · 15.07: Detecting Pseudoscience

Nguồn ngoài
A Guide to Technical Communications: Strategies and Applications
Lynn Hall and Leah Wahlin · The Ohio State University
Có trong mục lục: 4.04: Data Commentary

Nguồn ngoài
MAT 1320 Finite Mathematics, 2e
Allison K. Millmore · Community College of Denver
Có trong mục lục: 3.02: Fitting Linear Models to Data · 3.2E: Exercises - Fitting Linear Models to Data

Nguồn ngoài
Neural Networks and Deep Learning
Michael Nielson · Y Combinator Research
Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell the computer what to do, breaking big problems up into many small, precisely defined tasks that the computer can easily perform. By contrast, in a neural network we don't tell the computer how to solve our problem. Instead, it learns from observational data, figuring out its own solution to the problem at hand.