Mathew Lodge on Data Science as a Service in 20 Minutes from Scratch

Joining us this week is Mathew Lodge, SVP of Products & Marketing of Anaconda. Highlights • 2 min 57 sec: What does Anaconda do? o Help data scientists be productive & enterprise AI / Data Science • 3 min 36 sec: How do you interact with Anaconda? o About 2.5 million downloads a month of Anaconda Distribution o Install binary packages for data science to Python • 5 min 55 sec: Who are data scientists? o Data wrangling and understanding • 9 min 12 sec: Data Science as a verb o Understand how to turn data into actionable insight • 10 min 47 sec: How learn to use the tools? Community! o Community around Anaconda open source to share packages, etc • 13 min 26 sec: How does Anaconda change as AI/Machine Learning improve? o Python is standard language with R close behind for data science • 14 min 58 sec: Reproducibility in results o 16 min 01 sec: Model training issue? • 17 min 16 sec: Parking lot on Sam Charrington’s AI Bias Podcasts o TWiML & AI - https://twimlai.com/ • 17 min 43 sec: Training models for limited sets of data for reliability in Edge o Answer by example of Google ImageNet o 20 min 14 sec: Optimizations to reduce processing requirements  Hey Siri example on how iPhone works o 22 min 03 sec: Do models improve over time? Transfer learning • 22 min 30 sec: Accelerative Learning in AI o Fashion example of layering learning o Issues around lack of data for training • 26 min 01 sec: Portability of models via Anaconda • 26 min 48 sec: Cloud Native Model of AI (no longer 2004) o Moved on from Java and distributed computing to Kubernetes o 29 min 05 sec: Giving up data locality (Hadoop) & specialized hardware? o 32 min 42 sec: Cloud model gives private and public options • 34 min 23 sec: How Anaconda play into the Cloud Native data science model? o Data scientists interested in data problems not cloud architecture o Data science as a Service o Kubernetes & Docker installed for you by Anaconda • 38 min 05 sec: WRAP UP o Anaconda Con Videos