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An Overview of Human Pose Estimation with Deep Learning
Human Pose Estimation is one of the main research areas in computer vision. The reason for its importance is the abundance of applications that can benefit from such a technology. Here's an introduction to the different techniques used in Human Pose Estimation based on Deep Learning.
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10 Gradient Descent Optimisation Algorithms + Cheat Sheet
Gradient descent is an optimization algorithm used for minimizing the cost function in various ML algorithms. Here are some common gradient descent optimisation algorithms used in the popular deep learning frameworks such as TensorFlow and Keras.
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How to Make a Success Story of your Data Science Team
Today, data science is a crucial component for an organization's growth. Given how important data science has grown, it’s important to think about what data scientists add to an organization, how they fit in, and how to hire and build effective data science teams.
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10 New Things I Learnt from fast.ai Course V3
Fastai offers some really good courses in machine learning and deep learning for programmers. I recently took their "Practical Deep Learning for Coders" course and found it really interesting. Here are my learnings from the course.
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Natural Language Interface to DataTable
You have to write SQL queries to query data from a relational database. Sometimes, you even have to write complex queries to do that. Won't it be amazing if you could use a chatbot to retrieve data from a database using simple English? That's what this tutorial is all about.
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Examining the Transformer Architecture: The OpenAI GPT-2 Controversy
GPT-2 is a generative model, created by OpenAI, trained on 40GB of Internet to predict the next word. And OpenAI found this model to be SO good that they did not release the fully trained model due to their concerns about malicious applications of the technology.
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K-means Clustering with Dask: Image Filters for Cat Pictures
How to recreate an original cat image with least possible colors. An interesting use case of Unsupervised Machine Learning with K Means Clustering in Python.
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Become a Pro at Pandas, Python’s Data Manipulation Library
Pandas is one of the most popular Python libraries for cleaning, transforming, manipulating and analyzing data. Learn how to efficiently handle large amounts of data using Pandas.
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Overview of Different Approaches to Deploying Machine Learning Models in Production
Learn the different methods for putting machine learning models into production, and to determine which method is best for which use case.
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 Top 10 Statistics Mistakes Made by Data Scientists
The following are some of the most common statistics mistakes made by data scientists. Check this list often to make sure you are not making any of these while applying statistics to data science.
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Top 10 Statistics Mistakes Made by Data Scientists