作者: Christopher M. Bishop, Hugh Bishop 书名: Deep Learning: Foundations and Concepts 发布时间: 2023 关键词: 深度学习, 人工智能

Foundations for Analytics with Python: From Non-Programmer to Hacker | ISBN: 1491922532 | 2016 | PDF 356 pages If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and analysis of data in different formats—by using Python. After author Clinton Brownley takes you through Python basics, you’ll be able to write simple scripts for processing data in spreadsheets as well as databases. You’ll also learn how to use several Python modules for parsing files, grouping data, and producing statistics. No programming experience is necessary. Create and run your own Python scripts by learning basic syntax Use Python’s csv module to read and parse CSV files Read multiple Excel worksheets and workbooks with the xlrd module Perform database operations in MySQL or with the mysqlclient module Create Python applications to find specific records, group data, and parse text files Build statistical graphs and plots with matplotlib, pandas, ggplot, and seaborn Produce summary statistics, and estimate regression and classification models Schedule your scripts to run automatically in both Windows and Mac environments

QOS‐ENABLED NETWORKS TOOLS AND FOUNDATIONS Second Edition一本很好的讲QOS的书，英文的哟

Goodrich的经典教程，分享一个免费的版本

CCF-A S&P 2022 动态BFT的形式化描述

多维与度量数据结构基础 Foundations of Multidimensional and Metric Data Structures Series: The Morgan Kaufmann Series in Computer Graphics Hardcover: 1024 pages Publisher: Morgan Kaufmann; 1 edition (August 22, 2006) Language: English ISBN-10: 0123694469 ISBN-13: 978-0123694461

Foundations of Fluid Mechanics - G. Gallavotti.

Foundations of Analog and Digital Electronic Circuits,作者：Anan和Jeffrey，经典书籍

Statistical foundations of machine learning

The active research field of OBDD~, This is very useful in model checking!