Tag:machine-learning

All the articles with the tag "machine-learning".

• YOLO-v4 Object Detector

  Posted on:July 5, 2020 |  at 12:00 AM

  YOLOv4 is a one-stage object detection model that improves on YOLOv3 with several bags of tricks and modules introduced in the literature. The components section below details the tricks and modules used.

  Deep Learning, Machine Learning, Review

• Evaluating Comet for Managing Pytorch Based Deep Learning Experiments

  Posted on:April 20, 2019 |  at 12:00 AM

  Comet ML is an experimentation platform, which permits testing Machine Learning projects, from the beginning up to the final monitoring. In this post, we would go through some examples to use comet.

  Deep Learning, Machine Learning

• My Deep Learning Workstation Setup

  Posted on:December 31, 2018 |  at 12:00 AM

  We walk through building a PC that is capable of high performance deep learning AI and machine learning, without overspending.

  Linux, Machine Learning, Deep Learning

• An Overview of Linear Regression Models

  Posted on:December 24, 2018 |  at 12:00 AM

  Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.

  Machine Learning, Algorithms

• Interactive Data Visualization in Python Using Bokeh

  Posted on:May 4, 2018 |  at 12:00 AM

  An interactive charts allows the user to perform actions: zooming, hovering a marker to get a tooltip, choosing a variable to display and more.

  Guides, Machine Learning

• Understanding Boosted Trees Models

  Posted on:August 31, 2017 |  at 12:00 AM

  The Boosted Trees Model is a type of additive model that makes predictions by combining decisions from a sequence of base models. Gradient Boosted Machine (GBM) is one of the most effective machine learning models for predictive analytics, making it an industrial workhorse for machine learning.

  Machine Learning, Algorithms

• A Practical Guide to Tree Based Learning Algorithms

  Posted on:July 22, 2017 |  at 12:00 AM

  Tree-based models use a decision tree to represent how different input variables can be used to predict a target value. Machine learning uses tree-based models for both classification and regression problems.

  Machine Learning, Algorithms

• Understanding Support Vector Machine via Examples

  Posted on:July 8, 2017 |  at 03:00 PM

  In the last post on SVM, we looked at the mathematical details of the algorithm. In this post, I will be discussing the practical implementations of SVM for classification as well as regression.

  Machine Learning

• Support Vector Machines

  Posted on:November 11, 2016 |  at 01:00 PM

  In machine learning, support vector machines are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. In this post, we will go over mathematical details of SVM models.

  Algorithms, Machine Learning