Tag: easi
- A Few Thoughts on Enabling the Data Scientist (13 Feb 2020)
- Intel at the Edge (Deploying an Edge App) (27 Jan 2020)
- Intel at the Edge (The Inference Engine) (17 Jan 2020)
- Intel at the Edge (The Model Optimizer) (12 Jan 2020)
- Intel at the Edge (Leveraging Pre-Trained Models) (31 Dec 2019)
- Intel at the Edge (OpenVINO on a Linux Docker) (30 Dec 2019)
- Intel at the Edge (Installing Intel's OpenVINO on MacBook w/ 4th Generation Intel Core i7) (27 Dec 2019)
- Pitting Pandas vs Postgres (a Refresher) (20 Dec 2019)
- Intel at the Edge (Getting Started) (20 Dec 2019)
- Intel at the Edge (Udacity Scholarship) (16 Dec 2019)
- Wearables Weekly (W2) (27 Nov 2019)
- Preserving History While Merging Two Repos (27 Nov 2019)
- Wearables Weekly (W1) (21 Nov 2019)
- Ai4 Healthcare (11 Nov 2019)
- Hello, Static Duck! (A Pythonic Type Tale.) (08 Nov 2019)
- Paper References from "Deep Learning School 2016" (29 Oct 2019)
- What are AWS Skills? (18 Oct 2019)
- Experimenting with Random Forests on UCI ML Data Sets (25 Sep 2019)
- Variable Importance Assessment in Random Forest Regressions (13 Sep 2019)
- Time Series Forecasting with a Random Forest (1 of N) (13 Sep 2019)
- Keeping Your SSH Session Alive (09 Aug 2019)
- The Many Faces of Data Leakage (26 Jun 2019)
- The Quest for Blackbox Interpretability (Take 1, Random Forests and Feature Importances) (21 Jun 2019)
- Creating and Modifying CookieCutter Project Templates (30 May 2019)
- Karabiner + Kinesis Update (29 May 2019)
- Memory-Efficient Windowing of Time Series Data in Python: 3. Memory Strides in Pandas (06 May 2019)
- Memory-Efficient Windowing of Time Series Data in Python: 2. NumPy Arrays vs Pandas DataFrames (06 May 2019)
- Memory-Efficient Windowing of Time Series Data in Python: 1. Memory Strides in NumPy (03 May 2019)
- More Notes on Missing Data for Statistical Inference (22 Apr 2019)
- Karabiner for your Keyboard (09 Apr 2019)
- On the Fly Neo4j Exercise (03 Apr 2019)
- Missing Values in a Live Prediction Model (Take 2) (29 Mar 2019)
- Notes on Treatments for Categorical Variables with Missing Values for Predictive Models in Production (Take 1) (25 Mar 2019)
- deeplearning.ai's Intro to TensorFlow (Week 2) (23 Mar 2019)
- Cookiecutter Data Science (19 Mar 2019)
- Relearning LaTeX (14 Mar 2019)
- Exploring Google Colab (Part 1 of N) (14 Mar 2019)
- deeplearning.ai's Intro to TensorFlow (Week 1) (06 Mar 2019)
- Refresher on AWS CLI (28 Feb 2019)
- On Neo4j and the Conservation of Database Complexity (20 Feb 2019)
- Semi-Colon-Separated Queries in Neo4j Desktop (19 Feb 2019)
- Laughing Like Hyde (14 Feb 2019)
- Emfit QS Data Streams (12 Feb 2019)
- Accuracy is not so Accurate (05 Feb 2019)
- Crash Course in Causality (Take 1) (25 Jan 2019)
- Arggh! (21 Jan 2019)
- WTF is a Marginal Structural Model (18 Dec 2018)
- Query Performance in Neo4j (28 Nov 2018)
- Data Structures in Neo4j (21 Nov 2018)
- Getting off the Ground with Neo4j Browser and LOAD CSV (20 Nov 2018)
- Cypher Syntax Highlighting for Vim (15 Nov 2018)
- Printing Pretty Paths in Neo4j (13 Nov 2018)
- Navigating the NoSQL Landscape (17 Oct 2018)
- Accessing CloudWatch with Boto3 (16 Oct 2018)
- First Foray into Data Modeling with Graphs (05 Oct 2018)
- First Foray into Data Modeling with Entity Relationship Diagrams (01 Oct 2018)
- Getting Started with MySQL Software (26 Sep 2018)