Mathematica 14 Essential Training

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Get up and running with the skills required to perform advanced data analysis, matrix math, and machine learning tasks using the power of Mathematica 14. Join instructor Curt Frye as he introduces you to the basics of Mathematica, including how to create and manage notebooks; define calculations using built-in functions, variables, and user-created functions; store and summarize lists of data; perform matrix operations to solve systems of linear equations; and develop portable applications and visualizations. Along the way, Curt offers tips on applying machine learning techniques to perform network analysis and optimize complex tasks.

01 - Introduction

01 - Apply the power of Mathematica 14 to your analysis

02 - What you should know before starting

02 - 1. Introducing Mathematica

01 - Run Mathematica and enter commands

02 - Manage Mathematica notebooks

03 - Get help in Mathematica

04 - Browse the Demonstrations library

03 - 2. Surveying Mathematica Commands

01 - Introducing mathematical operators

02 - Refer to previous calculations

03 - Assign values to variables

04 - Import and export data

05 - Calculate values using built-in functions and variables

06 - Create advanced formulas using the Math Assistant

07 - Send a result to Wolfram Alpha

04 - 3. Manipulating Lists

01 - Create a list

02 - Refer to and edit list items

03 - Add and delete list items

04 - Count and summarize list items

05 - Sort and reorder lists

06 - Identify the first or last item in a list

07 - Select list items by rule

08 - Delete duplicate list items

09 - Join multiple lists into a single list

05 - 4. Analyzing Data Using Descriptive Statistics

01 - Find the mean, median, and most common value

02 - Calculate variance and standard deviation

03 - Identify data quartiles

04 - Calculate the interquartile range

05 - Find the covariance of two sets of values

06 - Calculate the correlation of two datasets

06 - 5. Manipulating Matrices

01 - Define vectors and matrices

02 - Add, subtract, and multiply matrices

03 - Generate useful matrices

04 - Transpose and invert matrices

05 - Perform element-wise calculations

06 - Refer to and edit matrix items

07 - Convert a matrix to a list

07 - 6. Managing Executable Mathematica Scripts

01 - Suppress output in a notebook

02 - Define a function

03 - Add comments to a Mathematica script

04 - Debug your Mathematica code

08 - 7. Visualizing and Formatting Data

01 - Create a bar chart

02 - Summarize data using a histogram

03 - Create a scatter plot

04 - Create a paired bar chart

05 - Set chart options

06 - Chart function output

09 - 8. Creating Interactive and Animated Visualizations

01 - Create a Computable Document Format (CDF) file

02 - Manipulate a single input value for an expression

03 - Manipulate two or more input values for an expression

04 - Animate the results of an expression

05 - Analyzing data using Mathematica Online

10 - 9. Applying Machine Learning Techniques

01 - Predict values based on training data

02 - Classify members of a dataset

03 - Evaluate a classification function

04 - Identify and classify data clusters

11 - 10. Performing Network Analysis

01 - Create a random graph

02 - Graph network data

03 - Find and highlight graph communities

04 - Summarize graph vertices and edges

05 - Calculate degree centrality and closeness centrality

06 - Calculate betweenness centrality

07 - Identify cliques and reciprocal relationships

12 - 11. Performing Optimization Analysis

01 - Solve a system of equations

02 - Optimize linear programming problems

03 - Analyze a Traveling Salesperson Problem

13 - Conclusion

01 - Additional resources

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تولید کننده: LinkedIn Learning (Lynda)