### A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization

Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how …

Home Posts Tagged "Computer Vision" (Page 2)

Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how …

Analytics Vidhya’s pick of the top 5 data science-related GitHub repositories and Reddit discussions from April 2019 for every data scientist.

Introduction In the last 6 years – we have helped millions of users in learning data science, we helped hundreds of companies across the …

Learn how to build your first multi-label image classification model in Python by working on a real-world problem in this in-depth tutorial.

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop …

Introduction Computer vision is among the hottest fields in any industry right now. It is thriving thanks to the rapid advances in technology and …

In this article, we will understand what image segmentation is and then use Python to build our first semantic segmentation model!

Crowd counting has been an inexact science for decades. Build your first crowd counting algorithm with an impressive accuracy using Deep Learning

Here’s a comprehensive list of books, both free and paid, that every aspiring data scientist should have in their book shelf.

Learn how to build your very first image classification model in Python in just 10 minutes! We’ll do this using a really cool case study.

- Mathematics behind Machine Learning – The Core Concepts you Need to Know
- Commonly used Machine Learning Algorithms (with Python and R Codes)
- 24 Ultimate Data Science Projects To Boost Your Knowledge and Skills (& can be accessed freely)
- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
- 7 Regression Techniques you should know!
- A Simple Introduction to ANOVA (with applications in Excel)
- Introduction to k-Nearest Neighbors: A powerful Machine Learning Algorithm (with implementation in Python & R)
- A Complete Python Tutorial to Learn Data Science from Scratch

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