Workshop Title:

Get Started With Wolfram Mathematica for Data Analytics & Machine Learning

Speaker:

Peter Lim

Delivered over 300 sessions of workshop, public seminar, industrial talk, and educational conference since year 2008. Adjunct lecturer for many public universities and private colleges. Successfully completed and delivered over nearly 100 industrial. projects for multi-national corporations, as well as for small and medium. industries in the past 15 years, across countries including Malaysia, Singapore, Thailand, Indonesia and Taiwan.

Workshop Synopsis:

2 Sessions Online, each session 2.5 hour

Wolfram is a high-level scripting, multi-paradigm programming language. It allows users to use the natural-language style to perform advanced computations. Thus Wolfram is not just suitable for serious researchers and technology developers,  it is even vastly used for teaching and learning in tertiary institutions as well as among students from primary and secondary schools as a STEM curriculum.

Wolfram has the largest collection of built-in statistical functions with the reliability of arbitrary-precision numerics and symbolic analysis. Instantly analyze data from any data source like spreadsheets, rapidly create interactive test models, seamlessly scale up to large, high-powered simulations, and present fully interactive charts and reports—all with one integrated workflow.

In addition, Wolfram has also pioneered highly automated machine learning, making state-of-the-art machine learning in a full range of applications, like predictive analytics, accessible even to non-experts. Backed by powerful computation and data capabilities, you could easily predict from historical data, detect anomalies, and identify clusters and trends, completing your machine learning projects in a compressed time confidently!

Objectives:

This crashed course would hand-hold attendees with little prior experience in Wolfram to explore the powerful and yet practical approach to data analytics and machine learning technologies.

Who should attend:

Ideal for those who are interested in learning, project exploration, or teaching data analytics or Artificial Intelligence using Machine Learning in a very practical way!

Requirements:

1. High-speed internet
2. Windows 10 and above
3. Preinstalled with Wolfram Mathematica desktop version or cloud version.
4. Basic math background