Published 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.01 GB | Duration: 0h 46m
Fundamentals of Mathematica Programming and Applications
What you’ll learn
Introduction to Coding In Mathematica
Perform Big Data Analysis
Statistical Analysis of Data
Perform Machine Learning and Artificial Intelligence
Requirements
No programming experience needed
Description
Welcome to our comprehensive course on the Applications of Programming in Mathematica! This engaging program provides a thorough exploration of the basics and fundamentals of programming in Mathematica, equipping participants with essential skills to harness the power of this versatile computational platform.Throughout the course, participants will delve into the intricacies of Mathematica programming, gaining a solid foundation that extends beyond mere syntax. The curriculum seamlessly integrates practical applications, emphasizing hands-on experience in diverse domains. Attendees will explore image processing techniques, mastering the art of manipulating and enhancing visual data using Mathematica’s robust programming capabilities.The course extends its reach into cutting-edge fields such as machine learning, where participants will learn to implement algorithms, build models, and analyze data to make informed decisions. Additionally, the program addresses the burgeoning realm of big data analysis, empowering learners to efficiently handle and interpret vast datasets using Mathematica’s sophisticated programming tools.By the course’s conclusion, participants will have not only cultivated a deep understanding of Mathematica programming but also acquired practical skills applicable to real-world scenarios in image processing, machine learning, and big data analysis. Join us on this exciting journey, where theory meets hands-on application, and unlock the full potential of programming in Mathematica.
Overview
Section 1: Introduction
Lecture 1 Introduction to Mathematica and Basics of Programming
Section 2: Plotting in Mathematica
Lecture 2 Lecture 2: Plotting In Mathematica
Section 3: Image Processing in Mathematica
Lecture 3 Image Processing in Mathematica
Section 4: Computer Vision and Machine Learning in Mathematica
Lecture 4 Computer Vision and Machine Learning
Section 5: Data Analysis and ANOVA in Mathematica
Lecture 5 Data Analysis and ANOVA in Mathematica
People that want to learn about Mathematica
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