Mark Peng

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ensemble learning data science big data machine learning kaggle

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General Tips for participating Kaggle Competitions

8 years ago • 85864 Views

Tips and tricks to win kaggle data science competitions

Darius Barušauskas • 7 years ago

Notes from Coursera Deep Learning courses by Andrew Ng

Tess Ferrandez • 6 years ago

[系列活動] 一天搞懂對話機器人

台灣資料科學年會 • 7 years ago

Automatic time series forecasting

Rob Hyndman • 10 years ago

孔令傑/貓都學得會的手機維修資料分析

台灣資料科學年會 • 7 years ago

Scaling MQTT With Apache Kafka

kellogh • 10 years ago

Deep Learning for Natural Language Processing: Word Embeddings

Roelof Pieters • 8 years ago

Istanbul Spark Meetup Nov 28 2015

Chris Fregly • 8 years ago

Cassandra via-docker

Chris Ballance • 8 years ago

Why your Spark job is failing

Sandy Ryza • 9 years ago

Codetainer: a Docker-based browser code 'sandbox'

Jen Andre • 8 years ago

Kinesis vs-kafka-and-kafka-deep-dive

Yifeng Jiang • 8 years ago

DataStax NYC Java Meetup: Cassandra with Java

carolinedatastax • 9 years ago

Linux Profiling at Netflix

Brendan Gregg • 9 years ago

Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)

Helena Edelson • 9 years ago

Time series with Apache Cassandra - Long version

Patrick McFadin • 10 years ago

Apache cassandra & apache spark for time series data

Patrick McFadin • 9 years ago

Analyzing Time Series Data with Apache Spark and Cassandra

Patrick McFadin • 8 years ago

Applied Machine Learning for the IoT - Data Science Pop-up Seattle

Domino Data Lab • 8 years ago

Understanding Feature Space in Machine Learning - Data Science Pop-up Seattle

Domino Data Lab • 8 years ago

Collaborative Filtering with Spark

Chris Johnson • 9 years ago

Matrix Factorization Techniques For Recommender Systems

Lei Guo • 12 years ago

Apache Kafka 0.8 basic training - Verisign

Michael Noll • 9 years ago

Scaling Through Partitioning and Shard Splitting in Solr 4

thelabdude • 10 years ago

The Many Facets of Apache Solr - Yonik Seeley

lucenerevolution • 12 years ago

Tips for data science competitions

Owen Zhang • 8 years ago

The Universal Recommender

Pat Ferrel • 9 years ago

Feature Importance Analysis with XGBoost in Tax audit

Michael BENESTY • 9 years ago

Boosting Documents in Solr by Recency, Popularity and Personal Preferences - By Timothy Potter