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Defining custom neural network architectures isn't necessary. Learn how to build a 99% accurate image classifier with Transfer Learning and PyTorch.

Introduction to Transfer Learning: Effective Machine Learning Without Custom Architecture

Introduction to Transfer Learning: Effective Machine Learning Without Custom Architecture
Defining custom neural network architectures isn't necessary. Learn how to build a 99% accurate image classifier with Transfer Learning and PyTorch.
 15 October 2020
Convolutional neural networks and deep learning don't have to be difficult subjects. Read this article if topics like input and output channels, kernels, strides, and...

Convolutional Neural Networks: An Introduction

Convolutional Neural Networks: An Introduction
Convolutional neural networks and deep learning don't have to be difficult subjects. Read this article if topics like input and output channels, kernels, strides, and receptive fields feel a bit fuzzy to you.
 5 October 2020
Learn best practices for setting up a data science team and kicking off a data analytics project – remote or otherwise. I'll cover Scrum methodology,...

Remote Data Science Team Best Practices: Scrum, GitHub, Docker, and More

Remote Data Science Team Best Practices: Scrum, GitHub, Docker, and More
Learn best practices for setting up a data science team and kicking off a data analytics project – remote or otherwise. I'll cover Scrum methodology, Asana, GitHub, Docker, renv, linter, and a variety of other tools and workflows.
 23 July 2020