Machine Learning in Python

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Program Duration: 6 days (9 am to 5:30 pm)

Program Locations: Singapore, Kuala Lumpur, Malaysia, Jakarta Indonesia

Program Fees - SGD 2,500 (Singapore); SGD 2,000 (Malaysia, Indonesia)

For special packages available for all those registering for 2 or 3 programs in Singapore, Kuala Lumpur or Jakarta, click this link to view the details. Once you indicate the programs of interest to you, we will let you know the schedules in your preferred location.

Program Overview
Python is one of the top 5 popular programming languages of 2018. Python is a general purpose and high level programming language. Python can be used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows developers to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for coders to keep the code base readable and application maintainable.

Python is widely used for machine learning and various other AI & Analytics applications. Its structure fairly resembles how humans think and, owing to its English-like syntax and self-documenting properties, it is the language first learnt by many who have no prior background or experience in programming. For those intending to work in the domains of Machine Learning, Python is virtually a must-learn programming language.

Key Takeaways for Participants:
  1. Grounding / Refresher in Statistics / Mathematics necessary in most Machine Learning Applications and many web applications too.
  2. Learning well one of the most popular programming languages currently. Professionals knowing Python well are in high demand in the job market and command premium compensation packages compared to many programmers skilled in other languages.
  3. Knowledgeable & skilled enough to be hired or deployed as a Python Programmer by organisations and institutions engaged in developing Machine Learning apps, Web apps or Website development assignments. 
 Faculty: Dr. Sudipta Das
Dr. Sudipta Das graduated in Electrical Engineering and has subsequently done his Ph.D. in the same discipline, after doing his post-graduation in Control Systems.

He has several years of industry experience and is currently an Asst. Professor in the Department of Data Science for a private University, where, among various subjects, he has also been involved in teaching Python & ‘R’.

He has a number of published papers in the domains mentioned to his credit and is a visiting scientist at the Indian Statistical Institute (ISI), involved in the areas of Statistical Quality Control & Operations Research. His research interests include Data Analytics, Stochastic Systems and Real-time systems.