reckoning.dev # My Deep Learning Workstation Setup
9 min read
We walk through building a PC that is capable of high performance deep learning AI and machine learning, without overspending.
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# An Overview of Linear Regression Models
machine-learning 6 / 6
16 min read
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data.
# Interactive Data Visualization in Python Using Bokeh
machine-learning 5 / 6
11 min read
An interactive charts allows the user to perform actions: zooming, hovering a marker to get a tooltip, choosing a variable to display and more.
# A Practical guide to Autoencoders using Keras
deep-learning 1 / 3
23 min read
An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data. An autoencoder learns two functions: an encoding function that transforms the input data, and…
# My Arch Linux Setup with GNOME 3
arch-linux-setup 4 / 4
19 min read
GNOME, originally an acronym for GNU Network Object Model Environment, is a free and open-source desktop environment for Linux and other Unix-like operating systems.
# Sublime Text Setup
Sadanand Singh 7 min read
Sublime Text is a shareware text and source code editor available for Windows, macOS, and Linux. It natively supports many programming languages and markup languages.
# Understanding Boosted Trees Models
machine-learning 4 / 6
Sadanand Singh 27 min read
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…
# A Practical Guide to Tree Based Learning Algorithms
machine-learning 3 / 6
25 min read
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…
# Understanding Support Vector Machine via Examples
machine-learning 2 / 6
12 min read
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.
# Switching to Hugo from Nikola
7 min read
Nikola is a static site and blog generator based on Python. However, Hugo is one of the most popular open-source static site generators. With its amazing speed and flexibility, Hugo makes building…