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QCon.AI
Channel:
InfoQ
Videos (27)
1 — Very Large Datasets with the GPU Data Frame
2 — Optimizing Spark
3 — The Future of Transportation
4 — Deep Learning for Language Understanding (at Google Scale)
5 — Gimel: Commoditizing Data Access
6 — pDB: Abstraction for Modeling Predictive Machine Learning Problems
7 — Serverless for Data Science
8 — A Whirlwind Overview of Apache Beam
9 — Basics of Deep Learning: No Math Required
10 — TensorFlow Jumpstart
11 — JupyterLab: The Next Generation Jupyter Web Interface
12 — Building a Security System with Image Recognition & an Amazon DeepLens
13 — The Basics of ROS Applied to Self-Driving Cars
14 — Building (Better) Data Pipelines with Apache Airflow
15 — Transmogrification: The Magic of Feature Engineering
16 — Continuous Delivery for AI Applications
17 — Detecting Similar Id Documents Using Deep Learning
18 — A/B Testing for Logistics: It All Depends
19 — TensorBoard: Visualizing Learning
20 — PyTorch by Example
21 — Tooling & Setup for My Neural Network
22 — NVIDIA Jetson
23 — When Do You Use Machine Learning vs. a Rules Based System?
24 — Introduction to Forecasting in Machine Learning and Deep Learning
25 — Machine Learning: Predicting Demand in Fashion
26 — Two Effective Algorithms for Time Series Forecasting
27 — What does it take to build a data science capability?
