It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
After doing your research, you can waste hours getting your citations into the proper format, in the correct order in your paper, and listed in your bibliography. Zotero is a free citation management program that can help you collect, organize, and share your research. This session is designed to help graduate students get started with Zotero. Attendees will learn how to set up Zotero, gather citations, and generate bibliographies.
8/25/2022 12:00 p.m. - 1:00 p.m. EST
10/5/2022 11:00 a.m. - 12:00 p.m. EST
In this workshop we will learn the basics of the python programming language, variables, loops, if conditionals, data handling, using third party libraries. We will also see how to use third party libraries used in Machine Learning like Pandas, Numpy, sklearn, spipy etc. We are going to explore how to use these commands and code Data Science applications.
08/29/2022 1:00 p.m. - 2:30 p.m. EDT
In this workshop, I will introduce some useful and famous algorithms in supervised and unsupervised machine learning tasks, namely, support vector machine (SVM), naive bayes, k-nearest neighbors (KNN), decision trees, random forest, regression algorithms, K-means, etc. I'll be demonstrating them with code examples.
08/31/2022 1:00 p.m. - 2:30 p.m. EST
In this workshop, we will learn how to use python, beautiful soup, and scrapy to extract data from the web. We will also learn how to clean, process, and store the data to be used in data science applications. Some exploratory data analysis topics we will cover are - handling missing data, incorrect data, outliers, standardization of values, and finding correlation of different features.
09/07/2022 1:00 p.m. - 2:30 p.m. EDT
In this workshop, I'll try to go through as much basics as possible to get you started in programming in Java. Content includes but not limied to installation and run Java program on IntelliJ; concept of class and objects, methods, constructors; concept of flow control, exception handeling; Java list, set, map, array, queue.
09/12/2022 1:00 p.m. - 2:30 p.m. EST
A literature review requires the writer to extensively gather and analyze scholarship related to their topic, to explain how their work fits into the larger conversation, and to justify their own research project. This session will help you find the most relevant and useful sources to review the literature related to your research question and to keep track of what you find.
09/13/2022 11:00 a.m. - 12:00 p.m. EST
11/1/2022 12:00 p.m. - 1:00 p.m. EST
In this workshop, I'll try to go through some basic algorithms including graph algorithms (depth first search, breadth first search, etc.), sorting algorithms (bubble sort, divide and conquer, etc.), recussion, dynamic programming.
09/19/2022 1:00 p.m. - 2:30 p.m. EST
This workshop will cover the fundamental topics in neural networks. We will learn about perception, calculation of loss, training and gradient descent, and backpropagation. We will study the benefits of neural networks by comparing it with previous methods on a sample problem. This will build the foundation required to understand deep neural networks and its applications in Natural Language Processing and Computer Vision.
09/14/2022 1:00 p.m. - 2:30 p.m. EST
Recommendation systems have become one of the most popular applications of machine learning in today’s websites and platforms. Recommendation systems are at the core of online services such as Amazon, Netflix, Youtube, Spotify. Join this workshop to learn how these systems work through the use of different methods like content, collabarative filtering, hybrid approaches and also the use of Singular Value Decomposition. These techniques can be applied to build any recommender system of your choice.
09/26/2022 1:00 p.m. - 2:30 p.m. EST
In this workshop, I will try to introduce the concept and intuition behind recurrent neural network (RNN) and long-short term memory (LSTM) in a NLP context. I'll also be giving code example on how to apply these neural networks.
09/28/2022 1:00 p.m. - 2:30 p.m. EDT
We will take a close look at transformers neural network architecture. We will review the attention is all you need paper and deep dive into the concepts and intuition. We will understand how the transformer blocks are constructed and how they are used in NLP applications. We will use pytorch and hugging face to build transformers for popular NLP problems.
10/03/2022 1:00 p.m. - 2:30 p.m. EDT
This workshop will serve as basic introduction to bayesian optimization approaches used in hyper-parameter optimization. I will try to explain the concept of Gaussian process (GP) and the process of performing bayesian optimization in an intuitive way, with also code examples to demonstrate how to apply bayesian optimization algorithms.
10/05/2022 1:00 p.m. - 2:30 p.m. EDT