Sitemap - 2018 - The Analytics Engineering Roundup
The Top 10 Links of 2018. [DSR #167]
AI Index. Parallelization of Model Training. Third Wave Data Viz. XKCD. [DSR #166]
The State of Deep Learning. Predicting Grocery Availability @ Instacart. Speed Matters. [DSR #165]
AI Adoption Survey. Better Python Charts. Data Dictionaries. [DSR #163]
Seasonality @ Lyft. Bandits @ Stitch Fix. Data Testing. Hiring for SQL. Retail Calendars. [DSR #162]
Stitch >> Talend. Functional Data Engineering. Don't be a Generalist. featexp. [DSR #161]
Distributing Data Globally @ Facebook. Google Pixel 3. Don't Follow the Herd. [DSR #158]
Engineering Career Paths. Peeking at Etsy. Uncertainty Estimates. CLI Apps. [DSR #157]
Forecasting at Uber. Reproducible ML. Optimizers on AI. Column-Store Databases. GDPR. [DSR #155]
11 Reasons Notebooks Suck. Tuning Redshift Performance. Code as Configuration. [DSR #153]
Marketing Analytics @ Instagram. PhD: Yes or No? Knowledge Dissemination @ Uber. [DSR #151]
Notebooks at Netflix. A/B Testing @ Etsy. Publishing Your Work. [DSR #149]
Learning Dexterity. Data Ethics. Black Box Models. Land Usage. [DSR #147]
Getting Hired. Data Scientists at Airbnb. ML in Bigquery. Tufte-Worthy Charts in R. [DSR #146]
The 2018 Data Landscape. Building Services. Red Flags in Interviews. AutoML. [DSR #145]
The State of AI. Data Engineering @ Airbnb. Agile Analytics. SQL Window Functions. [DSR #143]
Top 10 Papers from CVPR. Uber Eats. Data Warehouse Comparisons. [DSR #142]
Optimization @ Stitch Fix. Bias-Variance Tradeoff. Facebook's DensePose. [DSR #141]
Embedded ML. Trustworthy Analysis. ML @ Twitter. Snowflake & BigQuery. [DSR #140]
AI Principles at Google. Academic Data Sharing. 8 Python Concepts You May Have Forgotten. [DSR #139]
Internet Trends. Data Warehouse SLAs. Training Data. [DSR #138]
Agile Analytics. GDPR. Netflix Interview Questions. 10 Reasons Enterprises Suck at Data. [DSR #137]
20 Questions. AI and Compute. Reporting is a Gateway Drug. [DSR #136]
Google Duplex. Data Privacy in Analytics. Team Names @ Lyft. Scientific Debt [DSR #135]
50 Useful ML APIs. Airflow x 2. Command line tips. Sergey's Thoughts on AI. [DSR #134]
ML's Jet Age. 100 Billion Events / Day. Qualitative Research. Evaluating your Models. [DSR #133]
Managing a Data Science Team. Python in Shiny. The Fall of RNN and LSTM. [DSR #132]
Experimentation at DoorDash. Data Tooling. Kubernetes. Deep learning on Spark? [DSR #131]
Getting Hired. More Books! Data Governance. Big-O Complexity. [DSR #129]
Five Books. Gender Shades. Deploying Cloud Infrastructure. Top AI Grad Programs. [DSR #128]
Evolving ML Models. Scaling Kubernetes. Markov Chains. Similar Item Search at Airbnb. [DSR #127]
Cloud Notebooks. Uber's Queryparser. Interpretability Research. [DSR #126]
Data Engineering. JupyterLab. Two Great Stitch Fix Posts. Neural Networks + Ethereum? [DSR #125]
Pipeline Debt. Dashboard Design and Font Choices. Cloud GPU Benchmarks. [DSR #124]
Deep Learning in a Spreadsheet. Jobs! Data viz. The Spark Optimizer. [DSR #123]
Pizza. Clustering algorithms. An Overview of Cloud ML Options. Regularization. [DSR #122]
Mastering New Skills. AI Fund. Matrix Calculus. Platform Releases Win Oscars. [DSR #121]
Common-Sense Baselines. Hawaii. Data Engineering. Getting Hired. Predicting Churn. [DSR #120]
Building an Analytics Team. Wildfires. Spiking Neural Networks (?!?) [DSR #119]