Posts

Mama Said There'd be Days Like This

Collaborating Filtering for Mere Mortals Part 2: A Neural Network Approach

Collaborative Filtering for Mere Mortals!

Something Random

Azure ML? Seriously? Yes. Seriously!

What is Past is Prologue. Reinforcement Learning meets Time Series Classification

A Perspective on Analytics, AI and Data Science

Reflections on Georgia Tech OMSA Program

Poisson Regression

Principal Component Analysis: A Technical Review

Reflection Across a Line With Python and Linear Algebra

Building a Deep Learning Desktop PC Part 2

Building a Deep Learning Desktop PC

Google Cloud Machine Learning

Comparing Neural Network Architectures for Voice Recognition

Using Z and TTests for eCommerce A/B Evaluation

Central Limit Theorem, Standard Deviation and Hadoop Combiners

Hadoop and MapReduce  A Test Driven Approach

What is a pvalue?

Automated Testing in R

Reflections on Halicon 2017

Serving a Trained Keras/TensorFlow Model

Speech Recognition using MFCC and HMM

Boosting Trees

Analyzing Audio Time Series Data with Fourier Analysis

Data Science Antipatterns Part 2: Modeling Dynamical Systems  Hurricane Irma

Data Science Antipatterns

Data Preprocessing Part 2 and Random Forests

Data Preprocessing Part 1

Using R to Explore Data on Global Terrorism

Applying Neural Networks to Time Series Data

LSTM Neural Networks and Music

Deep Neural Networks for Image Recognition

Using Python and Keras on the Kaggle Titanic Data Set

Neural Networks and Simple Video Recognition

Bayesian Inference Part 2: Data Science, Its Yuge!

Bayesian Inference Part 1: My Picky Cat Parker.

KMeans Clustering and Crime Data

Linear and Polynomial Regression

Basic Statistical Analysis using R

Intro to R

Python Pandas and Data Frames

What is Data Science?
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