Meta-Guide.com

Notes:

• ML pipeline

Wikipedia:

• Automated machine learning
• Pipeline (computing)

See also:

100 Best Data Pipeline Videos | 100 Best Deep Learning Tutorial Videos

[89x Mar 2019]

• 05 Machine Learning Pipeline
• Building a Reproducible Machine Learning Pipeline
• Intelligent pipeline monitoring at Avangrid; leveraging SAP Leonardo’s IoT and Machine Learning
• #CONVERGE NY 2018: Agile Data Pipelines to Enable Machine Learning
• Categorizing Docker Hub’s Public Images: End-to-End Machine Learning Pipeline with Docker Enterprise
• Deploying Machine Learning Pipeline at Scale In the Cloud
• End to End Machine learning pipelines for Python driven organizations – Nick Harvey
• Machine Learning Model Serving and Pipeline Using KNative – Animesh Singh & Tommy Li, IBM
• EECS 495 – Optimization of Machine Learning Project: Sklearn Sentiment Analysis Pipeline
• Machine Learning Pipelines at Google
• AWS re:Invent 2018: CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303)
• Andrew Ng’s Machine Learning Course | Ceiling Analysis What Part of the Pipeline to Work on Next
• Andrew Ng’s Machine Learning Course | Photo OCR Problem Description and Pipeline
• A Machine Learning Data Pipeline
• Industrial Machine Learning Pipelines with Python & Airflow | PyConHK 2018
• Machine Learning pipeline walk through with Mwenda Mugendi Raini
• Continuous deployment of Machine Learning pipelines – Luca Palmieri & Christos Dimitroulas
• YOW! Perth 2018 – Cameron Joannidis – Building a centralised Machine Learning Pipeline #YOWPerth
• Automating Machine Learning Pipelines for Real Time Scoring (David Crespi)
• Mesosphere DC/OS Machine Learning Pipeline with Jupyterlab and CI/CD
• Hands-on Scikit-learn for Machine Learning: Processing Pipelines with Scikit-learn|packtpub.com
• Alejandro Saucedo – Industrial Machine Learning Pipelines with Python & Airflow
• Executing Open Source Code in Machine Learning Pipelines
• Data Pipelines for Factory IoT and Machine Learning
• Alejandro Saucedo – Industrial Machine Learning Pipelines with Python & Airflow
• Industrial Machine Learning Building Scalable Distributed ML Pipelines
• The Evolving Media Pipeline Aided by Machine Learning | Scott Spector
• End-to-end Machine Learning pipeline – Jan Wiegelmann | M-AI-Summit-2018
• Industrial Machine Learning Building Scalable Distributed ML Pipelines
• Designing data pipelines for analytics and machine learning in industrial settings
• A machine learning and data science pipeline for real companies
• Create Your First Machine Learning Pipeline in ML.NET
• Using Gradient Boosted Trees with Apache SparkML Pipelines – Coursera Advanced Machine Learning
• Mesosphere DC/OS Secure (Kerberos & TLS) Machine Learning Pipeline with Apache Kafka, HDFS and Spark
• Scalable Machine Learning Pipelines for Click Predictions – Moussa Taifi (Appnexus)
• Bringing Your Data Pipeline into The Machine Learning Era – Chris Gaun & Jörg Schad, Mesosphere
• Modernize Your Data Pipeline for the Machine Learning Age
• Lightning Talks: Dan Whitenack: Pachyderm – Machine Learning and Data Pipelines
• Natural Language Identification Machine Learning Pipeline with Python and Scikit-Learn
• Recruit Lifestyle: Building Elastic Machine Learning Pipelines on AWS [Japanese]
• Accelerate the Machine Learning Pipeline on Very Large Datasets
• Accelerate the Machine Learning Pipeline on Very Large Datasets – Aaron Williams
• Intro into Azure Databricks plus Machine Learning Pipelines and Structured Steaming
• Data Pipelines for Factory IoT and Machine Learning
• Extending Spark Machine Learning Pipelines Going beyond wordcount with Spark ML
• DataMass 2017 Jakub Nowacki – Real-Time Machine Learning in Streaming Data Pipelines
• How to Automate Machine Learning Pipeline by Axel De Romblay
• Machine Learning with caret: Building a pipeline
• Jerry Zhu: Debugging the Machine Learning Pipeline
• scale.bythebay.io: Chris Rupley & Till Bergmann, Complex Machine Learning Pipelines Made Easy
• Building Distributed Machine Learning Pipeline – Vojtech Juranek
• PyCon.DE 2017 Alexander Bauer – Large-scale machine learning pipelines using Luigi,…n
• Build your first Machine Learning pipeline using Luigi !!
• How to Build Machine Learning Pipelines in a Breeze with Docker
• Win a Kaggle competition with Apache Spark and SparkML Machine Learning Pipelines
• How we make building machine learning pipelines simple
• Machine Learning Pipeline
• FOSDEM 2017 – Extending Spark Machine Learning Pipelines.mp4
• Let’s Write a Pipeline – Machine Learning Recipes #4
• Designing Machine Learning Pipelines for Mining Transactional SMS Messages: Paul Meinshausen
• Machine Learning Pipelines for IoT platform -1
• MAchine Learning: Understanding the PipeLine from SKlearn
• Music Genre Classifier Pipeline using Machine Learning
• 199 Building Machine Learning Pipelines
• 36 Building Machine Learning Pipelines
• Machine Learning w/the Spark ML Library 5 — Spark Pipelines Contd and Text Processing
• Machine Learning with the Spark ML Library 4 — Spark Pipelines and Automated Cross Validation
• Kevin Goetsch | Deploying Machine Learning using sklearn pipelines
• The Machine Learning Pipeline | Kadenze
• sfspark.org: Peng Ye, Building Machine Learning Pipeline Using Aerosolve
• Machine Learning Pipeline using Luigi and Scikit Learn – PyConSG 2016
• Scalable Machine Learning Pipeline For Meta Data Discovery From eBay Listings
• Optimizing Terascale Machine Learning Pipelines With KeystoneML
• Jose Quesada – A full Machine learning pipeline in Scikit-learn vs in scala-Spark: pros and cons
• Machine learning pipelines with Spark ML
• Let’s Write a Pipeline – Machine Learning Recipes #4
• A Machine Learning Data Pipeline – PyData SG
• Machine Learning Photo OCR Example 1 Problem Description and Pipeline
• Creating an End-to-End Machine Learning Data Pipeline with Databricks [DEMO] – Spark Summit 2015
• Practical Distributed Machine Learning Pipelines on Hadoop
• PhillyETE2015 #26-Deep Learning Revolution: Rethinking Machine Learning Pipelines – Soumith Chintala
• Building Large Scale Machine Learning Applications with Pipelines – Evan Sparks (UC Berkeley AMPLAB)
• Building, Debugging, and Tuning Spark Machine Learning Pipelines – Joseph Bradley (Databricks)
• Bugra Akyildiz – A Thorough Machine Learning Pipeline via Scikit Learn
• Practical Machine Learning Pipelines with Mllib- Joseph Bradley (Databricks)
• Machine learning W11 4 Ceiling Analysis What Part of the Pipeline to Work on Next
• Machine learning W11 1 Problem Description and Pipeline
• Bugra Akyildiz – A Machine Learning Pipeline with Scikit-Learn