Posts
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Mama Said There'd be Days Like This
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Collaborating Filtering for Mere Mortals Part 2: A Neural Network Approach
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Collaborative Filtering for Mere Mortals!
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Something Random
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Azure ML? Seriously? Yes. Seriously!
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What is Past is Prologue. Reinforcement Learning meets Time Series Classification
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A Perspective on Analytics, AI and Data Science
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Reflections on Georgia Tech OMSA Program
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Poisson Regression
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Principal Component Analysis: A Technical Review
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Reflection Across a Line With Python and Linear Algebra
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Building a Deep Learning Desktop PC Part 2
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Building a Deep Learning Desktop PC
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Google Cloud Machine Learning
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Comparing Neural Network Architectures for Voice Recognition
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Using Z and T-Tests for eCommerce A/B Evaluation
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Central Limit Theorem, Standard Deviation and Hadoop Combiners
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Hadoop and MapReduce - A Test Driven Approach
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What is a p-value?
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Automated Testing in R
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Reflections on Halicon 2017
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Serving a Trained Keras/TensorFlow Model
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Speech Recognition using MFCC and HMM
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Boosting Trees
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Analyzing Audio Time Series Data with Fourier Analysis
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Data Science Anti-patterns Part 2: Modeling Dynamical Systems - Hurricane Irma
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Data Science Anti-patterns
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Data Preprocessing Part 2 and Random Forests
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Data Preprocessing Part 1
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Using R to Explore Data on Global Terrorism
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Applying Neural Networks to Time Series Data
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LSTM Neural Networks and Music
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Deep Neural Networks for Image Recognition
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Using Python and Keras on the Kaggle Titanic Data Set
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Neural Networks and Simple Video Recognition
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Bayesian Inference Part 2: Data Science, Its Yuge!
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Bayesian Inference Part 1: My Picky Cat Parker.
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KMeans Clustering and Crime Data
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Linear and Polynomial Regression
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Basic Statistical Analysis using R
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Intro to R
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Python Pandas and Data Frames
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What is Data Science?
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