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Lynda Mathematica 10 Advanced Analysis数学软件Mathematica高级分析教程

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2019-03-10 01:23:45

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Lynda Mathematica 10 Advanced Analysis数学软件Mathematica高级分析教程学习材料： none.

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01_01-Welcome

00:56

01_02-What you should know before watching this course

01:05

01_03-Using the exercise files

00:37

02_01-Discovering the geographic position of an entity

03:19

02_02-Generating interesting and useful maps

02:44

02_03-Displaying statistical data about a country

02:28

02_04-Displaying statistical data about a city or territory

02:42

02_05-Discovering information on significant individuals

02:21

02_06-Returning data on historical periods

03:13

02_07-Analyzing word usage

03:37

03_01-Returning the latest stock price for a company

01:47

03_02-Displaying the high, low, open, and close values for a stock

02:23

03_03-Graphing financial data using a candlestick chart

04:15

03_04-Displaying changes in a stock price over the past year

04:32

03_05-Displaying a list of currency symbols

01:54

03_06-Calculating the exchange rate between two currencies

04:37

03_07-Calculating the time value of money and adjusting for inflation

04:24

03_08-Discovering the effective interest rate of an investment

02:06

03_09-Calculating the present value of an annuity

04:28

04_01-Creating and displaying a time series

06:29

04_02-Finding and displaying data within a time series window

03:17

04_03-Selecting a random value from a list of values

05:34

04_04-Generating and graphing a random walk process

03:36

04_05-Generating random values using different processes

03:52

05_01-Generating a random graph

04:16

05_02-Calculating centrality by counting direct links

05:38

05_03-Evaluating centrality by calculating betweenness

02:22

05_04-Identifying cliques in a graph

04:15

05_05-Calculating the shortest path between two points

04:30

05_06-Calculating reciprocity in a directed graph

02:57

06_01-Rescaling data to minimize bias

04:16

06_02-Classifying data based on existing rules

06:19

06_03-Classifying data by identifying rules through training data

07:32

06_04-Predicting output values using linear regression

05:25

06_05-Identifying clusters of data

02:57

07_01-Importing a text file into Mathematica

04:07

07_02-Splitting a text string into words or sentences

03:10

07_03-Looking up words in dictionaries

03:52

07_04-Counting word occurrences within a string

04:42

07_05-Preparing text data for natural language processing

04:37

07_06-Performing sentiment analysis on text

01:39

08_01-Further resources

01:07

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