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歷史上的今天

• 2022: 技術士考試題庫：01500 -冷作 丙級 術科
• 2022: 技術士考試題庫：01500 -冷作 丙級 學科
• 2022: 技術士考試題庫：01500 -冷作 乙級 術科
• 2022: 技術士考試題庫：01500 -冷作 乙級 學科
• 2022: 技術士考試題庫：01500 -冷作 甲級 術科
• 2022: 技術士考試題庫：01500 -冷作 甲級 學科
• 2022: Understanding Big Data: Analytics for Hadoop and Streaming Data
• 2022: Data Blending For Dummies
• 2022: Data Mining Applications in Engineering and Medicine
• 2022: Think Data Structures
• 2022: SQL Server Backup and Restore
• 2022: Making Sense of Stream Processing: Behind Apache Kafka
• 2022: Data Visualization in Society
• 2022: Algorithms Notes for Professionals
• 2022: Global Optimization Algorithms: Theory and Application
• 2022: Advances in Evolutionary Algorithms
• 2022: Exploring Math for Programmers and Data Scientists
• 2022: Exploring the data jungle
• 2022: Exploring Data Science
• 2022: Exploring the Data Jungle
• 2022: Machine Learning for Data Streams: Practical Examples in MOA
• 2022: Understanding Databases
• 2022: Exploring Data Science with Python
• 2022: Exploring Streaming Data Analysis
• 2022: A Genetic Algorithm Tutorial
• 2022: Mathematical Foundations of Data Sciences
• 2022: Statistics With Julia
• 2022: Mathematics of Data Science
• 2022: Hands-on Machine Learning and Big Data
• 2022: Crash Course on Basic Statistics
• 2022: Modern Data Science for Modern Biology
• 2022: The Field Guide of Data Science
• 2022: Scipy Lecture Notes
• 2022: Inductive Logic Programming: Techniques and Applications
• 2022: Knowledge-Oriented Applications in Data Mining
• 2022: Knowledge-Oriented Applications in Data Mining
• 2022: Data Mining and Knowledge Discovery in Real Life Applications
• 2022: The SysAdmin Handbook
• 2022: Conversations On Data Science
• 2022: Applied Data Science
• 2022: Big Data, Data Mining, and Machine Learning
• 2022: Advanced Linear Models for Data Science
• 2022: Data Science: An Introduction
• 2022: Data Science: An Introduction WikiBook
• 2022: Theory and Applications for Advanced Text Mining
• 2022: Disruptive Possibilities: How Big Data Changes Everything
• 2022: Introduction to Statistical Thought
• 2022: The Art of Data Science
• 2022: Data Jujitsu: The Art of Turning Data into Product
• 2022: OpenIntro Statistics, 4th Edition
• 2022: Data Driven: Creating a Data Culture
• 2022: Causal Inference: What If
• 2022: Statistical Inference for Data Science
• 2022: PostgreSQL Notes for Professionals
• 2022: Introduction to Social Network Methods
• 2022: MySQL Notes for Professionals
• 2022: Analyzing Linguistic Data: A Practical Introduction to Statistics
• 2022: Oracle Database Notes for Professionals
• 2022: Ethics and Data Science
• 2022: SQL Notes for Professionals
• 2022: Genetic Programming: New Approaches and Successful Applications
• 2022: The Element of Data Analytic Style
• 2022: Fundamental Numerical Methods and Data Analysis
• 2022: Data Science: Theories, Models, Algorithms, and Analytics
• 2022: A Programmer’s Guide to Data Mining
• 2022: Modeling with Data: Tools and Techniques for Scientific Computing
• 2022: Data Visualization: A Practical Introduction
• 2022: Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
• 2022: Statistical Learning with Sparsity: The Lasso and Generalizations
• 2022: Introduction to Information Retrieval
• 2022: Advanced Data Analysis from an Elementary Point of View
• 2022: D3 Tips and Tricks
• 2022: Think Python: How to Think Like a Computer Scientist
• 2022: Modeling with Data: Tools and Techniques for Scientific Computing
• 2022: Automate the Boring Stuff with Python: Practical Programming for Total Beginners
• 2022: Open Data Structures: An Introduction
• 2022: 21 Recipes for Mining Twitter Data with rtweet
• 2022: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
• 2022: The Tidyverse Cookbook
• 2022: Data Mining and Analysis: Fundamental Concepts and Algorithms
• 2022: Foundations of Data Science
• 2022: Think Stats: Exploratory Data Analysis in Python
• 2022: The Data Science Design Manual
• 2022: Social Media Mining: An Introduction
• 2022: Genetic Algorithms in Search, Optimization and Machine Learning
• 2022: Statistics in Plain English
• 2022: The Hitchhiker’s Guide to Python
• 2022: Open Data Structures: An Introduction
• 2022: Data-Intensive Text Processing with MapReduce
• 2022: Happy Git and GitHub for the useR
• 2022: Modern Statistics with R From wrangling and exploring data to inference and predictive modelling
• 2022: Data Science in a Box
• 2022: Spatial Modelling for Data Scientists
• 2022: Introduction to Modern Statistics
• 2022: Model-Based Clustering and Classification for Data Science
• 2022: Computer Age Statistical Inference
• 2022: Introduction to Probability for Data Science
• 2022: The Elements of Statistical Learning: Data Mining, Inference, and Prediction
• 2022: Introduction to Probability
• 2022: Computational and Inferential Thinking: The Foundations of Data Science