- Presentations
- Documents
- Infographics
AI & Deep Learning At Amazon - April 2017 AWS Online Tech Talks
Amazon Web Services
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7 years ago
Machine learning for profit: Computational advertising landscape
Sharat Chikkerur
•
7 years ago
Squeezing Deep Learning Into Mobile Phones
Anirudh Koul
•
7 years ago
Brian Lucena, Senior Data Scientist, Metis at MLconf SF 2016
MLconf
•
7 years ago
Akka http
Knoldus Inc.
•
8 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Flink history, roadmap and vision
Stephan Ewen
•
9 years ago
Open Source Tools & Data Science Competitions
odsc
•
8 years ago
Featurizing log data before XGBoost
DataRobot
•
8 years ago
Operational Tips for Deploying Spark
Databricks
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8 years ago
Not Your Father's Database: How to Use Apache Spark Properly in Your Big Data Architecture
Databricks
•
8 years ago
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
8 years ago
(BDT401) Amazon Redshift Deep Dive: Tuning and Best Practices
Amazon Web Services
•
8 years ago
H2O World - Munging, modeling, and pipelines using Python - Hank Roark
Sri Ambati
•
8 years ago
Xgboost
Vivian S. Zhang
•
8 years ago
(BDT404) Large-Scale ETL Data Flows w/AWS Data Pipeline & Dataduct
Amazon Web Services
•
8 years ago
Using Deep Learning to do Real-Time Scoring in Practical Applications - 2015-12-14
Greg Makowski
•
8 years ago
H2O World - Top 10 Deep Learning Tips & Tricks - Arno Candel
Sri Ambati
•
8 years ago
Getting Apache Spark Customers to Production
Cloudera, Inc.
•
8 years ago
Gradient Boosted Regression Trees in scikit-learn
DataRobot
•
10 years ago