For an introduction to NLP and basic text preprocessing, refer to this article. For an introduction to language models and how to build them, take a look at this article. If you’re familiar with NLP and its tools, continue reading!

What is POS Tagging?

POS or part-of-speech tagging is the technique of assigning special labels to each token in text, to indicate its part of speech, and usually even other grammatical connotations, which can later be used in text analysis algorithms. For example, for the sentence -

She is reading a book.

‘She’ would the POS tag of pronoun, ‘is’ would get an article tag, ‘reading’ a verb tag, ‘a’ would get an article tag and ‘book’ would get a noun tag. We can then do a search for all verbs which would pull up the word reading, and also use these tags in other algorithms. …

If you’re not familiar with the NLTK library and data pre-processing, take a look at this article. If you’re interested in language models and how to build them, read this article. If you’re familiar with NLP and language models, continue reading!

What are Language Based Classifier Models?

A statistical language model is a probability distribution over sequences of words which can be used to predict the next word for text generation and many other applications. Classifiers such as Naive Bayes make use of a language model to assign class labels to some instances, based on a set of features which can be numerically represented using statistical techniques. …

To get an introduction to NLP, NLTK, and basic preprocessing tasks, refer to this article. If you’re already acquainted with NLTK, continue reading!

What are Language Models?

A language model learns to predict the probability of a sequence of words. But why do we need to learn the probability of words?

In machine translation, we take in a bunch of words from a language and convert these words into another language. Now, there can be many potential translations that a system might give us and we will want to compute the probability of each of these translations to understand which one is the most accurate. …

What is Natural Language Processing?

Natural Language Processing or NLP is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of human languages in a manner that is valuable. To this end, many different models, libraries, and methods have been used to train machines to process text, understand it, make predictions based on it, and even generate new text. The first step to training a model is to obtain and preprocess the data. …

Contents

1. Introduction
2. The Application Process
3. Program Roadmap
4. The Foundations Course
5. The Slack Workspace
6. Student Leaders
7. Study Groups
8. The 50DaysOfUdacity Challenge
9. The Project Showcase Challenge
10. Study Jams
11. Live AMA with Microsoft!
12. Other Challenges
13. Conclusion
14. Phase II
15. Resources

Introduction

This article is about the Microsoft Azure Scholarship Program by Udacity and my journey through the 2.5 month long duration of Phase I of the scholarship. It includes the application and selection process, the various components of the program, and the community initiatives. I have also added a comprehensive Airtable of all resources, including course notes, ML and Python resources, SDE interview questions, GitHub repositories, and more, collected by my peers in the duration of the program, in the Resources section. It proved extremely helpful to me in learning and preparing for interviews as well as networking with peers. …

Contents

1. Introduction
2. Overview
3. The Problem Statement
4. Mission Requirements
5. Evaluation Criteria
6. Stages of the Concept Design
7. A Learning Experience
8. References

Introduction

I and four teammates, a group of 5, participated in the third edition of NACDeC, representing IIT Kharagpur, from October 2019 to around September 2020. We reached Stage II, but unfortunately could not qualify for Stage III, the finals. In this article, I will talk about the overall journey through the various rounds and reviews, and give a brief overview of the technical aspects involved, such as the softwares used, the iterations done, and the results obtained.

Overview

The Design Division of Aeronautical Society of India was set up in 2017, to act as a torch bearer for aerospace design professionals, and to help them scale professional heights by offering a platform for inter-organisational exchange of ideas, to report professional contributions and to augment professional knowledge. With this in mind, the Design Division decided to conduct a yearly National Aerospace Conceptual Design Competition (NACDeC) for students of Aeronautical or Aerospace Engineering department from CFTIs or AICTE approved institutions in India. …

Contents

1. Introduction
2. Overview
3. Unique Selling Point
4. Initial Parameters
5. Important Factors
6. Prototyping
7. Additional Support
8. Swag
9. Conclusion
10. References

Introduction

This article is going to go through the iterative process of designing and prototyping a technical event on a national level. Apart from listing some of the crucial parameters that should be taken into consideration while designing, I will also briefly go through the event we designed.

Overview

Technology Robotix Society is an official society under the Technology Students’ Gymkhana, IIT Kharagpur, and is a focal point for activities and projects related to robotics in the campus. With its reach expanding steadily each year, it has also cemented its position as one of the nerve centres of amateur robotics in India. …

If you haven’t read my article on the Mars Colonisation Program With Microsoft, go read that first!

Table of Contents

1. Introduction
2. Problem Statement
3. Evaluation Criteria
4. Brainstorming Sessions
5. The Example Code
6. Our Project
7. Low Level Usage
8. Online Demo of the Final Project
9. Submission
10. Future Possibilities
11. Important Links

Introduction

This article mainly talks about the overall project implementations we did, the software we used, the algorithms we deployed, and the functionalities we added to our project, in the Mars Colonisation Program, as part of Microsoft Engage 2020, which was held in the months of June-July.

Problem Statement

We could choose any project from the two choices, whose example code was also given…