P824-JULIA FOR INSURANCE DATA SCIENCE
Julia is a relatively new programming language
that has been gaining importance in Data Science & AI space. The main
advantage of Julia over other Machine Learning languages is speed &
security. Julia is compiler-based language, having great capabilities for
parallel processing also. It is relatively easy to learn Julia to those having
background of Python or R or Java or C++. Julia Community is growing & its
Libraries are becoming more and more mature. Julia can be run in Jupyter
Notebook also. Julia is extremely powerful in entire Data Science value chain.
Therefore, this hands-on training has been offered for the benefit of Insurance,
InsurTech and other related industries.
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What & Why Julia for Data Science
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Julia Development Environment
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Julia for Exploratory Data Analytics &
Visualizations
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Julia applications in General Insurance Data
Science
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Julia for Machine Learning & other Data
Science techniques
It will have proper blend of Conceptual
inputs, Hands-on Exercises and Practical Case Studies.
Participants’ Profile:
This training is open to all – General
Insurance industry and other related organizations from within India as well as
from other countries. Officers / Executives / Manager or higher management from
IT / Data Analytics / Data Science, Actuarial, other insurance technical areas,
various functional areas (Marketing / Business Development) of General Insurance
including HI, Re-Insurance organizations, Regulators, Insurance Information
Bureau, Broking companies. Working employees from any other organization
interested in learning ‘Julia for Data Science’. Prior knowledge / skills of
Julia though not necessary, having background of either R or Python or C or C++
or Java will be more advantageous.
Duration:
3 days.
Dates:
11.12.2023 – 13.12.2023