The capstone project for Udacity’s Data Scientist Nanodegree Program
The goal of the project is to create an end-to-end deep learning pipeline to classify images of dogs according to their breed. The pipeline will accept any user-supplied image as input and will predict whether a dog or human is present in the image. If a dog is detected in the image, it will provide an estimate of the dog’s breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
In this project, I am provided with RGB images of humans and…
Every year from 2017, Kaggle conducts an industry-wide survey that presents a truly comprehensive view of the state of data science and machine learning. The survey was live for 3.5 weeks in October and had 20,036 responses from over 55 countries and diverse demographics answering a wide range of questions ranging from frequently used ML algorithms, frameworks, cloud platforms, and products to the preferred programming languages and many others.
Let’s delve into deriving insights from the survey starting with the different age groups present in the survey to which the data science practitioners belong.
Currently an AI fellow at Plaksha, he is interested in Machine Learning and Natural Language Processing. He loves to train deep neural networks.