3Blades : The Right Choice For Us Is AWS ECS

 

Micheal Roach

3Blades Leverages AWS SageMaker to Automate AI Pipelines

 

Greg Werner

An Introduction to GPU Programming With Python

"We are living in a world awash in data. Accelerated interconnectivity, driven by the proliferation of internet-connected devices, has led to an explosion of data—big data. A race is now underway...

Nathaniel Compton

Understanding and Analyzing Customers In Our Data Sets

This notebook provides a fictional but representative data set for you to explore and generate provisional insights from. The purpose of this notebook is to understand and structure a consumer...

Samuel Noriega

Think SFSP not MVP

At 3Blades we are starting to use SFSP (Smallest Feature Set Possible) instead of MVP (Minimum Viable Product). This helps clarify the intent when shipping a new product or epic feature,...

Greg Werner

Why We Decided to Completely Rewrite Our App

Our application and company has been through a lot of changes for the last 10 months. We wanted to share some of those experiences with you, as so many folks from the community have helped us...

Greg Werner

Linear Regression To Solve Advertising Problems

The purpose of this tutorial is to get a clear idea on how a linear regression can be used to solve a marketing problem, such as selecting the right channels to advertise a product.

Samuel Noriega

3Blades Announces GPU Architecture in Open-Source Data Science Platform at Machine Learning Conference Atlanta

3Blades employs GPU architecture to tackle complex data science projects as most efficient time saver on the market for deep learning frameworks

Greg Werner

DRAW: A Recurrent Neural Network For Image Generation

A Google Deepmind’s project.

Samuel Noriega

Jupyter Notebooks — More Tricks!

Here are three more handy tips to use with Jupyter Notebook! If this is your first time here, be sure to check out parts one and two for more advice about how to make Jupyter Notebook work for you.

Greg Werner

The Jupyter Notebook: 3 More Little-Known Tricks

This is the second part of the blog post titled The Jupyter Notebook: 3 Little-Known Tricks. We’ll explore here 3 more tricks that will greatly expand the potential of your notebook, from how it...

Greg Werner

Jupyter Notebook: Little-Known Tricks!

We’ve written before about the evolution of Project Jupyter, how the notebook is great for teams, and how it can be even used with Apache Spark. And there is still so much more of it worth...

Greg Werner

Learning to Paint The Mona Lisa With Neural Networks

Can we recover an image by learning a deep regression map from pixels (x,y) to colors (r,g,b)?

Samuel Noriega

Predicting Conversion Rates With Bayesian Statistics

by Samuel Noriega

Samuel Noriega

Principal Component Analysis (PCA): A Practical Example

Let’s first define what a is PCA.

Principal Component Analysis or PCA is mathematically defined as an orthogonal linear transformation that transforms the data to a new coordinate system such that...

Samuel Noriega