AI, ML and Data Engineering

2019

Videos

1 — Databases and Stream Processing: a Future of Consolidation
2 — Accuracy as a Failure
3 — BERT for Sentiment Analysis on Sustainability Reporting
4 — The Fast Track to AI with JavaScript and Serverless
5 — Applying Machine Learning to Financial Payments
6 — Machine Learning through Streaming at Lyft
7 — Intuition & Use-Cases of Embeddings in NLP & beyond
8 — Future of Data Engineering
9 — Test-Driven Machine Learning
10 — The Whys and Hows of Database Streaming
11 — Algorithms behind Modern Storage Systems
12 — Building the Enchanted Land
13 — ETL Is Dead, Long Live Streams: real-time streams w/ Apache Kafka
14 — Michelangelo - Machine Learning @Uber
15 — Artificial Intelligence and Machine Learning for the SWE
16 — Bias in BigData/AI and ML
17 — Serverless & GraphQL
18 — Panel: SQL over Streams, Ask the Experts
19 — Artificial Intelligence and Machine Learning for the SWE - QCon London 2018
20 — Fundamentals of Stream Processing with Apache Beam
21 — Human-Centric Machine Learning Infrastructure @Netflix
22 — Open Source Robotics: Hands on with Gazebo and ROS 2
23 — Visual Intro to Machine Learning and Deep Learning
24 — Anti-Entropy Using CRDTs on HA Datastores @Netflix
25 — Evolving Analytics in the Data Platform
26 — Designing Better ML Systems: Learnings from Netflix
27 — From Batch to Streams: Building Value from Data In-Motion
28 — Data-Driven Development in the Automotive Field
29 — Data Mesh: an Architectural Deep Dive
30 — Designing IoT Data Pipelines for Deep Observability
31 — Scaling & Optimizing the Training of Predictive Models