- Presentations
- Documents
- Infographics
Deep Learning, an interactive introduction for NLP-ers
Roelof Pieters
•
9 years ago
Deep Learning - Convolutional Neural Networks
Christian Perone
•
8 years ago
How to Build a Recommendation Engine on Spark
Caserta
•
9 years ago
Building a Recommendation Engine - An example of a product recommendation engine
NYC Predictive Analytics
•
13 years ago
Large-scale graph processing with Apache Flink @GraphDevroom FOSDEM'15
Vasia Kalavri
•
9 years ago
Convolutional Neural Networks (CNN)
Gaurav Mittal
•
8 years ago
Deep learning - Conceptual understanding and applications
Buhwan Jeong
•
9 years ago
Deep Learning for Natural Language Processing
Devashish Shanker
•
8 years ago
Hands-on Deep Learning in Python
Imry Kissos
•
8 years ago
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
9 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
8 years ago
MicroServices at Netflix - challenges of scale
Sudhir Tonse
•
9 years ago
Netflix Data Pipeline With Kafka
Allen (Xiaozhong) Wang
•
9 years ago
Monitorama 2015 Netflix Instance Analysis
Brendan Gregg
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9 years ago
Beyond DevOps - How Netflix Bridges the Gap
Josh Evans
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8 years ago
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
8 years ago
Linux Profiling at Netflix
Brendan Gregg
•
9 years ago
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
11 years ago
Data Science - Part V - Decision Trees & Random Forests
Derek Kane
•
9 years ago
Decision Tree Ensembles - Bagging, Random Forest & Gradient Boosting Machines
Deepak George
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8 years ago