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Nitin Agarwal
  • Male
  • Bangalore, Karnataka
  • India
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Profile Information

Company:
A. P. Moller - Maersk
Job Title:
Data Scientist
Seniority:
Manager
Job Function:
Data Scientist
Number of employees:
10.000 to 24.999
Industry:
Transportation/Distribution
Short Bio:
Being a Data enthusiast with 8+ years of experience, I have extensively worked on Data Mining, Predictive Modelling, Business Intelligence, and managed databases with domain experience in Banking & Finance and Life Sciences. I have a passion for turning raw data into creative analytics solutions that help executives make informed, strategic decisions.

I earned a credential of readiness from Harvard Business School, covering Financial Accounting, Business Analytics, Economics for managers. I also earned a post-graduate certificate in Business Analytics from IIIT Bangalore.

Key strength areas are Exploratory Data Analysis, Descriptive analysis, Inferential analysis, Hypothesis testing, Text Mining, Data Mining, Predictive Modelling, Big data technologies like PYSPARK, Cassandra, H2O, Data visualization using Tableau, statistical modeling using Python, R & Excel, data extraction using SQL and Alteryx
LinkedIn Profile:
http://in.linkedin.com/in/agnitin
Interests:
Contributing, Networking, Finding a new position, New venture, Recruiting, Other

Nitin Agarwal's Blog

Reinforcement Learning (Q-learning) - Implementation using R (Part 2)

Posted on June 4, 2020 at 8:23pm 0 Comments

This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.

In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.

Import libraries

We are coding the algorithms using the R base package…

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Reinforcement Learning (Q-learning) - An Introduction (Part 1)

Posted on June 4, 2020 at 7:51pm 0 Comments

Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?

A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…

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