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Machine Learning Made Easy in A Practical Approach for I.R. 4.0

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During the advent of Industry 4.0, A.I. machine learning is getting more important to keep businesses competitive. Back by popular demand, this 4-day (2PM – 5PM) online crash course, specially offered to academic users, will show you how to break a paradigm using Wolfram technologies.

Ideal for those who are interested in learning, project exploration, or teaching Artificial Intelligence in predictive analytic using Machine Learning in a very practical way.

  • Date : 25 – 28 Jan 2021 (Mon – Thu)
  • Time : 2 pm – 5 pm
  • Normal Fee (Academician only)
    • USD200/pax
    • MYR400/pax for Malaysian
  • Early Bird Promo before 15 Jan 2021 (Academician only)
    • USD120/pax
    • MYR220/pax for Malaysian


PROGRAM DETAILS:

DAY 1, 2PM-5PM
SUPERVISED MACHINE LEARNING

 Mastering basic syntaxes in Wolfram Language I
 Supervised learning with Classification and Predictions
 Basic data handling and connectivity I
 Practical deployment – Identifying marketing targets

DAY 2, 2PM-5PM
SUPERVISED MACHINE LEARNING & CORRELATION

 Mastering basic syntaxes in Wolfram Language II
 Important statistical analysis and visualizations I
 Handling Correlations
 Constructing basic workflow
 Accuracy Analysis I
 Practical deployment – Bidding, & value estimation – Preventive maintenance, failure prediction
 Bring-home online certification

DAY 3, 2PM-5PM
SUPERVISED MACHINE LEARNING & SYMBOLIC COMPUTATIONS

 Mastering basic syntaxes in Wolfram Language III
 Important statistical analysis and visualizations II
 Basic data handling and connectivity II
 Practicing with basic data cleaning & imputations
 Finding anomalous data
 Clustering and profiling
 Accuracy Analysis II
 Practical deployments – Rating prediction & A.I. diagnostics – Image classification

DAY 4, 2PM-5PM
CLUSTERING, ADVANCED HANDLING AND DEPLOYMENT

 Clustering and profiling II
 Basic computer visions
 Basic data handling and connectivity III
 Some common ways of deployment and integrations
 Practical deployments – Medical Image classification – Image segmentation

What you will get in this course:
1) Four (4) modules in MACHINE LEARNING delivered with live trainer for 4 days.
2) Wolfram Mathematica v12.2 training license
3) Certificate of Completion
4) Certificate of Proficiency upon passing online quiz (optional)

Course outline http://bit.ly/OEMS2501