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Introduction to Machine Learning and Data Science
(22 Sep 2017 to 22 Sep 2017)

Scope and objectives

This training session offered by MLTrain in conjunction with Psaros Training is an introduction to Machine Learning and Data Science. In this 6–hour training course, you will learn how to analyze data and how to build classifiers and regression models using python tools. We will use the Microsoft Azzure ML tools as well as the NVIDIA GPU cloud.

The training session takes place on 22 September 2017 and follows the EXECUTIVE MACHINE LEARNING 2017 AFRICA conference which takes place at The Hilton Sandton on 21 September 2017.

For easy registration for the training course or conference please visit Get discounted rates when you register for both the conference and training course via the Excecutive Machine Learning site

MLTrain is an educational endeavour of Ismion, Inc., a US–based company focusing on machine learning by leveraging the content of academic conferences. MLTrain offers training events in different cities across the United States and now also in selected cities outside of the United States. Learning methodology is teaching coding and using state of the art machine learning algorithms.

Psaros Training, established in 2005, is a leading provider of training solutions to medium and large corporate companies, government, state owned enterprises and NGOs in the southern African sub-region. Our products are high–quality public and in-house training courses. Our courses are highly interactive with attendees being involved in practical exercises, assessments, role-plays, group discussions and case study analysis.

Benefits of attending

  • Learn from practical example and case studies
  • Learn how to build a data-science team
  • Learn how to choose software tools
  • Learn which algorithms to use how to scale your operations
  • Learn how to communicate your results to your boss and to your clients and how to avoid pitfalls in interpreting your results

Course outline

Introduction to python and notebooks: 9.05am
Build your first classifier: 10.05am
Morning tea: 11.00am
Feature engineering: 11.30am
Data clustering and visualization: 12.35am
Lunch: 1.30pm
Deep Learning with NVIDIA: 2.15pm
Close: 4.00pm

Course fees

Standard fee:R 5 300,00 (incl. VAT of 650.88)

The registration fee includes tuition, full course documentation, lunch, refreshments and free parking in the hotel parkade

Venue details

The location for this event is Sandton, Johannesburg in the heart of Africa’s economic hub. The venue is conveniently located near upmarket hotels and shopping centres and has easy access to major highways in the area.

The Hilton Sandton
138 Rivonia Road,
Sandton 2146
South Africa

Tel: +27-11-322-1888
Fax: +27-11-322-1818

Parking is available in the hotel parkade.

Your expert trainer

Nikolaos Vasiloglou

Nikolaos Vasiloglou

Nikolaos Vasiloglou holds a PhD from the department of Electrical and Computer Engineering at Georgia Institute of Technology. His thesis was focused on salable machine learning over massive datasets.

After graduating from Georgia Tech he founded Analytics1305 LLC and Ismion Inc. He has architected and developed the PaperBoat machine learning library which has been successfully integrated and used in the LogicBlox and HPCCSystems platforms.

In the past, he organized and Chaired MLConf , a series of conferences in machine learning held in New York, San Francisco, Seattle and Atlanta and in his spare time, continues to offer training through MLTrain and the Learning Machine Learning by example meetup to integrate ML concepts in practice.

Niko has served as a ML consultant to Predictix, Revolution Analytics, Damballa, Tapad and LexisNexis and he helps local Atlanta startups with machine learning systems. His work has resulted in patents and production systems.

Who should attend?

Anyone interested in understanding the practical application of machine learning and artificial intelligence in optomising systems and operations across a wide variety of industries including retail, banking, manufacturing, telecommunications, entertainment, mining, financial services and more.

Course schedule

Registration: 8.30am
Course begins: 9.05am
Morning tea: 11.00am
Lunch: 13.30pm
Close: 4.00pm