executive programme
IIM Jammu – Executive Programme in Machine Learning & AI for Business
Indian Institute of Management (IIM) Jammu's Executive Programme in Machine Learning and AI for Businesses provides you professional guidance from experts to make you future-ready. Starting on September 30, 2021, this programme has been designed for professionals who want to gain an in-depth knowledge of ML & AI in order to assist businesses with technology for greater value and a competitive edge. The programme is designed to provide hands-on learning of Python, R Programming, Tableau and other analytical tools. All graduates (10 2 3) or diploma holders (only 10 2 3) from a recognised university in any discipline are eligible to join the course. During the 7-month tenure, participants will be exposed to statistics for business, exploratory data analysis & visualisation, machine learning and artificial intelligence, big data analytics, applications of machine learning & AI across domains, AI at production level, and AI & ML strategy.
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Data Science > Data Mining > Big Data (0.60)
Predicting SL/TP Signal Using Machine Learning
The most challenging part of trading is to decide when to exit a position. This EPAT Project could help you predict when to exit a BUY/ SELL position ie. in predicting SL/TP signal without human intervention, by using Machine Learning. This article is the final project submitted by the authors as a part of their coursework in the Executive Programme in Algorithmic Trading (EPAT) at QuantInsti . Do check our Projects page and have a look at what our students are building. Sunanda Balla is a senior data scientist building algorithmic trading models using machine learning.
Development of Cloud-Based Automated Trading System with Machine Learning
Maxime Fages Maxime's career spanned across the strategic aspects of value and risk, with a particular focus on trading behaviors and market microstructure over the past few years. He embraced a quantitative angle in M&A, fund management or currently corporate strategy and has always been an avid open-source software user. Derek began his career on the floor of the CBOT then moved upstairs to focus on proprietary trading and strategy development. He manages global multi strategy portfolios, focusing in the futures and options space. He is currently the Deputy Director of Systematic Trading at Foretrade Investment Co Ltd.