At times, the most valuable lessons stem from introspection and analyzing the experiences from our own personal journeys. In that spirit, these are few crucial insights from my failed startup journey, encompassing engineering, business, design, and a myriad of other subjects.

Energy consumption forecasting for buildings has immense value in energy efficiency and sustainability research. This post summarizes the experimentation and results of the energy demand forecasting for a building.

The Show & Tell will give a brief introduction to pytorch. Topics discussed are tensors, computational graphs, autograd. Finally, building a linear model and simple neural network to get an understanding of the workflow in PyTorch.

In this workshop, we cover fundamentals of NLP such as word embeddings, probabilistic and neural language models. We’ll cover all the theory behind these topics and finally, build a simple language model to get some hands-on experience.

Attendees will learn about the entire data preparation and collection stage in a machine learning pipeline. We will be using scrapy to scrape content from webpages and use various python libraries to preprocess the data. By the end of the workshop, the attendees will create a news headlines dataset for sentiment analysis task and a Binary image classification dataset.