1. Support Vector Machines

    Algorithms, MachineLearning

    In this post we will explore a class of machine learning methods called Support Vector Machines also known commonly as SVM.

  2. A Practical Guide to Tree Based Learning Algorithms

    MachineLearning, Algorithms

    Tree based learning algorithms are quite common in data science competitions. These algorithms empower predictive models with high accuracy, stability and ease of interpretation. Unlike linear models, they map non-linear relationships quite well. Common examples of tree based models are: decision trees, random forest, and boosted trees.

  3. My Deep Learning Workstation Setup

    Linux, MachineLearning, DeepLearning

    Lately, a lot of my friends have been asking about my deep learning workstation setup. In this post I am going to describe my hardware, OS, and different packages that I use. In particular, based on the question, I found that the most of the interest have been around managing different python versions, and modules like pytorch/tensorflow libraries etc.

  4. YOLO-v4 Object Detector

    DeepLearning, MachineLearning

    Object detection is useful for understanding what’s in an image, describing both what is in an image and where those objects are found. In general, there are two different approaches for this task –