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Udemy

Wolfram Mathematica Masterclass: from Beginner to Expert

via Udemy

Overview

Learn by Example: Clever Programming for Machine Learning, AI, Natural Science, Statistics, Economy, Linguistics & Media

What you'll learn:
  • Fundamentals: Wolfram programming language, notebooks & their advantages
  • Basic skills: Use functions, lists, plotting, graphics & animations
  • Hands-on programming: Work on actual projects from machine learning, science, economy, society and more
  • Cool applications: Use your knowledge to create useful notebooks and beautiful interactive images

** The Bestseller for Mathematica courses here on Udemy **

"This is the one and only course for Mathematica, that covers almost everything one would expect. Great job making this useful content!" - Siddhant Singh


This course is for everyone who wants to get better in Wolfram Mathematica!

No prior knowledge is required. We will start from the basics and climb the ladder up to advanced projects!

Wolfram Mathematica is an enormously powerful tool. In this language you can often solve difficult problems with only a few lines of code. However, this makes learning the language and especially the transition from conventional programming languages like C or python unique, as it uses a different approach to tackle programming. It is not difficult but can be overwhelming if you are on your own.

Mathematica was originally created to solve maths problems but was soon used in the natural sciences, as well. Today, it contains clever functions that can be adapted to all sorts of problems:We will solve programming tasks and will create beautiful, interactive images in our projects about statistics, physics, geography, chemistry, biology, music, political speeches, quantum computing, neural networks, machine learning, image manipulation, the stock market and more.

You are kindly invited to join this carefully prepared course that will teach you all you need to know about Mathematica. It includes a crash course, quizzes, exercises, background lectures and, of course, hands-on programming sessions in which we will solve real-life examples!

Why me?

My name is Börge Göbel and Iam a postdoc working as a scientist in theoretical physics.
I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy.

Especially when I started my PhD I was impressed how easily you can solve demanding tasks with Mathematica. I have used the program for the results and images in many of my publications and have recommended Mathematica to all of my students.

I hope you are excited and I kindly welcome you to our course!

Syllabus

  • [Basics] Introduction and How to work with Mathematica
  • [Crash course] Functions, Lists and Plots
  • Statistics: Random walk and the stock market
  • Geography, Chemistry and Biology: Working with entities
  • Machine learning 1: Interpolation and Neural networks - classic vs Mathematica
  • Machine learning 2: Applications for supervised and unsupervised learning
  • Image processing: Machine learning and clever features
  • Texts: Linguistics and socio-historical analysis
  • Working with sounds
  • Physics: Rolling ball, Monte Carlo and quantum physics
  • Present and publish your work & Goodbye!

Taught by

Dr. Börge Göbel

Reviews

4.8 rating at Udemy based on 416 ratings

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