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开源软件名称:datasciencemasters/go开源软件地址:https://github.com/datasciencemasters/go开源编程语言:开源软件介绍:created & maintained by @clarecorthell, founding partner of Luminant Data Science Consulting The Open-Source Data Science MastersThe open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary to making use of data. ContentsThe Internet is Your OysterWith Coursera, ebooks, Stack Overflow, and GitHub -- all free and open -- how can you afford not to take advantage of an open source education? The MotivationWe need more Data Scientists.
-- McKinsey Report Highlights the Impending Data Scientist Shortage 23 July 2013
-- David Hardtke "How To Hire A Data Scientist" 13 Nov 2012 An Academic ShortfallClassic academic conduits aren't providing Data Scientists -- this talent gap will be closed differently.
-- James Kobielus, Closing the Talent Gap 17 Jan 2013 Ready?The Open Source Data Science CurriculumStart here. Intro to Data Science / UW Videos
Data Science / Harvard Videos & Course
Data Science with Open Source Tools Book
A Note About DirectionThis is an introduction geared toward those with at least a minimum understanding of programming, and (perhaps obviously) an interest in the components of Data Science (like statistics and distributed computing). Out of personal preference and need for focus, I geared the original curriculum toward Python tools and resources. R resources can be found here. Ethics in Machine IntelligenceHuman impact is a first-class concern when building machine intelligence technology. When we build products, we deduce patterns and then reinforce them in the world. Ethics in any Engineering concerns understanding the sociotechnological impact of the products and services we are bringing to bear in the human world -- and whether they are reinforcing a future we all want to live in. MathLinear Algebra & Programming
Convex Optimization
Statistics
Differential Equations & Calculus
Problem Solving
ComputingGet your environment up and running with the Data Science Toolbox Algorithms
Distributed Computing Paradigms
Databases
Data Mining
Data DesignHow does the real world get translated into data? How should one structure that data to make it understandable and usable? Extends beyond database design to usability of schemas and models. OSDSM Specialization: Web Scraping & Crawling Machine LearningFoundational & Theoretical
Practical
Probabilistic Modeling
Deep Learning (Neural Networks)
Social Network & Graph Analysis
Natural Language Processing
Data AnalysisOne of the "unteachable" skills of data science is an intuition for analysis. What constitutes valuable, achievable, and well-designed analysis is extremely dependent on context and ends at hand.
in Python
Data Communication and DesignVisualizationData Visualization and Communication
Theoretical Design of Information
Applied Design of Information
Theoretical Courses / Design & Visualization
Practical Visualization Resources
OSDSM Specialization: Data Journalism Python (Learning)
Python (Libraries)Installing Basic Packages Python, virtualenv, NumPy, SciPy, matplotlib and IPython & Using Python Scientifically Command Line Install Script for Scientific Python Packages
More Libraries can be found in the "awesome machine learning" repo & in related specializations Data Structures & Analysis Packages
Machine Learning Packages
Networks Packages
Statistical Packages
Natural Language Processing & Understanding
Data APIs
Visualization Packages
iPython Data Science Notebooks
hereDatasets are nowhereR resources are nowData Science as a Profession
Capstone Project
ResourcesRead
Watch & Listen
Learn
NotationNon-Open-Source books, courses, and resources are noted with ContributePlease Contribute -- this is Open Source! Follow me on Twitter @clarecorthell |
2023-10-27
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2022-08-13
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