Guidelines for Prospective Research Project Students:
Below I have given some guidelines for the B.Tech/M.S./M.Tech/Ph.D. students applying for research projects under my supervision. My core research interest lies in Statistical Learning (Supervised and Unsupervised Learning), Time Series Forecasting, and Probability Distribution Theory. The research projects usually take 3-6 months to be finished, if done with regular engagement and hard work.
Please check whether you have done the followings before sending your application:
1. If you are a prospective student, I assume that you have a good understanding of Mathematics, Probability, and Statistics (at least upto Bachelor's level), for example, you MUST have studied the topics given in "Mathematics for Machine Learning Book" (Read Online).
2. In addition to that, I would expect you MUST have studied (detailed reading and practicing all the codes by yourself) AT LEAST ONE of the following books on Statistical Learning, Forecasting, and Deep Learning :
(a) An Introduction to Statistical Learning: Freely Available Online
(b) The Elements of Statistical Learning: Freely Available Online
(c) Deep Learning: Freely Available Online
(d) The Hundred-Page Machine Learning Book: Freely Available Online
(e) Forecasting: Principles and Practice: Freely Available Online
3. It is desirable that you have read AT LEAST ONE of my research papers before applying.
4. Knowing at least one of the programming tools such as RStudio, Python or Matlab is essential.
5. Knowledge of LaTeX is not mandatory but could be a plus. And if you have a publication in a reputed journal (not at all an essential requirement), you will be given an advantage.
Important Note: Please send me your resume along with the following details at tanujitisi@gmail.com :
(a) A brief write-up on your research interests.
(b) Your response to the above-mentioned requirements (5 Points)
(c) Why do you want to pursue this research project.
I will surely reply within 24 hours. Kindly note that I may implement some selection criteria and I may reject your application, if I don't find your application suitable for the projects at my hand.
Below I have given some guidelines for the B.Tech/M.S./M.Tech/Ph.D. students applying for research projects under my supervision. My core research interest lies in Statistical Learning (Supervised and Unsupervised Learning), Time Series Forecasting, and Probability Distribution Theory. The research projects usually take 3-6 months to be finished, if done with regular engagement and hard work.
Please check whether you have done the followings before sending your application:
1. If you are a prospective student, I assume that you have a good understanding of Mathematics, Probability, and Statistics (at least upto Bachelor's level), for example, you MUST have studied the topics given in "Mathematics for Machine Learning Book" (Read Online).
2. In addition to that, I would expect you MUST have studied (detailed reading and practicing all the codes by yourself) AT LEAST ONE of the following books on Statistical Learning, Forecasting, and Deep Learning :
(a) An Introduction to Statistical Learning: Freely Available Online
(b) The Elements of Statistical Learning: Freely Available Online
(c) Deep Learning: Freely Available Online
(d) The Hundred-Page Machine Learning Book: Freely Available Online
(e) Forecasting: Principles and Practice: Freely Available Online
3. It is desirable that you have read AT LEAST ONE of my research papers before applying.
4. Knowing at least one of the programming tools such as RStudio, Python or Matlab is essential.
5. Knowledge of LaTeX is not mandatory but could be a plus. And if you have a publication in a reputed journal (not at all an essential requirement), you will be given an advantage.
Important Note: Please send me your resume along with the following details at tanujitisi@gmail.com :
(a) A brief write-up on your research interests.
(b) Your response to the above-mentioned requirements (5 Points)
(c) Why do you want to pursue this research project.
I will surely reply within 24 hours. Kindly note that I may implement some selection criteria and I may reject your application, if I don't find your application suitable for the projects at my hand.