November 4, 2020 Computer Vision, Data Science, Deep Learning, Github, Intermediate, Listicle, NLP, Python, Reddit Leave a comment

Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)

Introduction There’s nothing quite like GitHub and Reddit for data science. Both platforms have been of immense help to me in my data science journey. GitHub is the ultimate one-stop platform for hosting your code. It excels at easing the collaboration process between team members. Most leading data scientists and organizations use GitHub to open-source their libraries and frameworks. So not only do we stay up-to-date with the latest developments in our field, we get to replicate their models on our […]

November 4, 2020 Advanced, Computer Vision, Deep Learning, Image, Image Analysis, NLP, Python, Technique, Unstructured Data Leave a comment

Create your Own Image Caption Generator using Keras!

Overview Understand how image caption generator works using the encoder-decoder Know how to create your own image caption generator using Keras Introduction Image caption Generator is a popular research area of Artificial Intelligence that deals with image understanding and a language description for that image. Generating well-formed sentences requires both syntactic and semantic understanding of the language. Being able to describe the content of an image using accurately formed sentences is a very challenging task, but it could also […]

October 31, 2020 Advanced, Algorithm, Computer Vision, Deep Learning, NLP, Python, Unstructured Data Leave a comment

A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision have been revolutionized by the attention mechanism We will learn how this attention mechanism works in deep learning, and even implement it in Python Introduction “Every once in a while, a revolutionary product comes along that changes everything.” – Steve Jobs What does one of the most famous quotes of the 21st century have to do with […]

October 29, 2020 Career, Computer Vision, Intermediate, Listicle, Machine Learning, NLP, Project Leave a comment

8 Awesome Data Science Capstone Projects from Praxis Business School

Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only way anything can survive in this universe. And when it comes to industry relevant education in a fast evolving domain like Machine Learning and Artificial Intelligence – it is necessary to evolve or you will simply perish (over time). I have personally experienced this first hand while building Analytics Vidhya. It still amazes me to see […]

October 29, 2020 Computer Vision, Data Visualization, Github, Graphs & Networks, Intermediate, Listicle, NLP, Python Leave a comment

6 Exciting Open Source Data Science Projects you Should Start Working on Today

Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to natural language processing (NLP), among others Pick your favorite open-source data science project(s) and get coding! Introduction I recently helped out in a round of interviews for an open data scientist position. As you can imagine, there were candidates from all kinds of backgrounds – software engineering, learning and development, finance, marketing, etc. What stood […]

October 17, 2020 Computer Vision, Datasets, Deep Learning, Image, Listicle, NLP, Research & Technology, Text, Unstructured Data Leave a comment

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your […]

October 11, 2020 Classification, Computer Vision, Deep Learning, Image, Libraries, NLP, Programming, Python, PyTorch, Supervised, Unstructured Data Leave a comment

Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)

Introduction PyTorch v TensorFlow – how many times have you seen this polarizing question pop up on social media? The rise of deep learning in recent times has been fuelled by the popularity of these frameworks. There are staunch supporters of both, but a clear winner has started to emerge in the last year. PyTorch was one of the most popular frameworks in 2018. It quickly became the preferred go-to deep learning framework among researchers in both academia and the […]

October 11, 2020 Computer Vision, Data Science, Intermediate, Listicle, Machine Learning, Maths, NLP, Python, Use Cases Leave a comment

10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources)

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you become a better data scientist We have categorized these applications into various fields – Basic Machine Learning, Dimensionality Reduction, Natural Language Processing, and Computer Vision Introduction If Data Science was Batman, Linear Algebra would be Robin. This faithful sidekick is often ignored. But in reality, it powers major areas of Data Science including the hot […]

September 23, 2020 Advanced, Computer Vision, Deep Learning, Python, Technique, Unstructured Data Leave a comment

A Detailed Study of Self Supervised Contrastive Loss and Supervised Contrastive Loss

Introduction Supervised Contrastive Learning paper claims a big deal about supervised learning and cross-entropy loss vs supervised contrastive loss for better image representation and classification tasks. Let’s go in-depth in this paper what is about. Claim actually close to 1% improvement on image net data set¹. Architecture wise, its a very simple network resnet 50 having a 128-dimensional head. If you want you can add a few more layers as well. Architecture and training process from the paper Codeself.encoder = […]

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