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顯示具有 Automated Machine Learning 標籤的文章。 顯示所有文章

2017年3月30日 星期四

Model evaluation, model selection, and algorithm selection in machine learning

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463


幫你選擇分類器的分類器:Auto-WEKA
Auto-WEKA是由Kotthoff等人開發來Weka分類器套件,Auto-WEKA的論文「Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA」已經在2016年底發表在Journal of Machine Learning Research。
http://blog.pulipuli.info/2017/04/auto-weka-automatic-model-selection-and.html

Part I - The basics
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html
Part II - Bootstrapping and uncertainties
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html
Part III -Cross-validation and hyperparameter tuning
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html
Holdout methodLogistic Regression

【轉貼】2016 前 20 大 Python 機器學習開源項目
https://buzzorange.com/techorange/2016/12/19/2016-top-20-python-machine-learning-open-source-projects/



2017年1月10日 星期二

DataRobot transforms model building

Machine learning automation leader DataRobot today announced the integration of its enterprise machine learning platform with the Alteryx, Inc. self-service data analytics platform.

DataRobot : https://www.datarobot.com/
Alteryx :
http://www.alteryx.com/
https://gallery.alteryx.com/#!app/DataRobot-Tools/58225a3cf499c704688e3427&lsm=Partner+Generated&utm_source=DataRobot&utm_medium=Referral&utm_campaign=Partner

Alteryx Designer

How to Apply Machine Learning to Event Processing


https://www.rtinsights.com/big-data-machine-learning-software-event-processing-analytics/

Use cases for real-time event processing
Slide1


Analytics maturity model
Figure 2

The following sections describe the three phases of the analytics maturity model in more detail:
Phase 1: Data discovery using visualization by the business user.
Phase 2: Predictive and prescriptive analytics using machine learning by the data scientist.
Phase 3: Operationalization and automation using event processing by the developer.

an overview about different machine learning alternatives for data scientists
Figure 3

Machine learning software

  • Amazon Machine Learning
  • Microsoft’s Revolution Analytics
  • KNIME
  • SAS
  • IBM SPSS

Types of Bots: An Overview

Learn more about all the different varieties of bots, and what they can do for you http://botnerds.com/types-of-bots/ In this articl...