Mathematica Programming And Machine Learning

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