Machine Learning has been growing at an incredible pace in the last couple of years. We’ve witnessed many breakthroughs such as AlphaGo beating the best world’s Go players, the comeback of evolution algorithms meta learning, or WaveNet generating speech that mimics any human voice.ML is a sub-set of artificial intelligence where computer algorithms are used to autonomously learn from data and information. In ML computers don’t have to be explicitly programmed but can change and improve their algorithms by themselves.
Growth in the ML market can largely be attributed to factors such as growing big data and its adoption for improving consumer services and their satisfaction. Creating an intelligent software for such key applications involves simulating reasoning, learning and problem-solving most of which can be addressed with ML
DATES:29 December 2018 | 19 January 2019 | 22 February 2019 | 12 April 2019
DURATION: 1 day
This workshop will outline the latest ML trends with regard to technology, use cases and the various business verticals which will be covered on the first half of the day. The second half of the day will be an introduction to the ML framework called the Scikit-Learn and implementing a Machine Learning model using Python programming language in Anaconda IDE
The one-day workshop in ML will focus on:
How ML systems change behaviors without being explicitly programmed
The key ML & AI technologies that will gain the most market traction
The major drivers for the growth of ML in verticals such as automotive, finance and advertisement.
The different methodologies such as Supervised and Unsupervised learning algorithms that are detrimental to make ML models
Introduction to Scikit-Learn and Python for implementing ML algorithms
Upon completing the workshop, the participants will be able to:
Understand the growth of ML in different verticals
Understand how ML is automating some of the work which humans have been addressing in the past.
Appreciate the role of ML in autonomous vehicles.
Understand some of the mathematical models that play a role in building ML software
Implement simple Machine Learning models using Scikit Learn framework in Python
How to Register?
Call (65) 6327 0164 or (65) 6222 4695 to enquire about this 1-Day Workshop on Machine Learning, or email email@example.com
Have a Group?
Contact us if you have a group of 5 or more who are interested in this course for Group Discount.
In-House Training at Your Office?
Dedicated/Customized In-House Corporate Training is available for a group of 8 or more participants. We have conducted this training in Singapore, HongKong and India. Call 6327 0164 or email firstname.lastname@example.org for more details.