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Guided Labeling Blog Series - Episode 5: Blending Knowledge with Weak...
Guided Labeling Blog Series - Episode 5: Blending Knowledge with Weak SupervisionpaolotamagThu, 07/09/2020 - 10:00Welcome to the fifth episode of our series of Guided Labeling Blog Posts1 .In the last...
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Integrated Deployment Blog Series - Episode 1: An Introduction to Integrated...
Integrated Deployment Blog Series - Episode 1: An Introduction to Integrated DeploymentpaolotamagMon, 07/13/2020 - 13:30Welcome to the Integrated Deployment Blog Series, a series of articles focusing...
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Integrated Deployment Blog Series - Episode 2: Continuous Deployment
Integrated Deployment Blog Series - Episode 2: Continuous DeploymentpaolotamagMon, 07/13/2020 - 14:00In this second episode of the Integrated Deployment Blog Series - a series of articles focusing on...
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Will They Blend? Theobald meets SAP HANA
Will They Blend? Theobald meets SAP HANAMaaritMon, 07/20/2020 - 13:30In the "Will They Blend" series of articles we experiment with the most interesting blends of data and tools. Whether it's mixing...
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Guided Labeling Blog Series - Episode 6: Comparing Active Learning with Weak...
Guided Labeling Blog Series - Episode 6: Comparing Active Learning with Weak SupervisionpaolotamagMon, 07/27/2020 - 10:00Welcome to the sixth episode of our series of Guided Labeling Blog Posts1 by...
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Metanode or Component - What's the Difference?
Metanode or Component - What's the Difference?rsMon, 08/03/2020 - 10:00The goal of this article, by Rosaria Silipo (KNIME), is to help clarify the difference between metanodes and components. What's a...
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Guided Labeling Blog Series - Episode 7: Weak Supervision Deployed via Guided...
Guided Labeling Blog Series - Episode 7: Weak Supervision Deployed via Guided AnalyticspaolotamagMon, 08/10/2020 - 10:00Welcome to the seventh episode of our series of Guided Labeling Blog Posts1by...
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Will They Blend? Google BigQuery meets Databricks
Will They Blend? Google BigQuery meets Databricksemilio_sMon, 08/17/2020 - 10:00Today: Google BigQuery public data meets Databricks. Shall I rent a bike in this weather?The Challenge“Life is like...
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Guided Labeling Blog Series - Episode 8: Combining Active Learning with Weak...
Guided Labeling Blog Series - Episode 8: Combining Active Learning with Weak SupervisionpaolotamagMon, 08/24/2020 - 10:00Welcome to the final episode of our series of articles about Guided Labeling!...
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Integrated Deployment Blog Series - Episode 3: Automated Machine Learning
Integrated Deployment Blog Series - Episode 3: Automated Machine LearningpaolotamagMon, 08/31/2020 - 10:00Welcome to the Integrated Deployment Blog Series, a series of articles focusing on solving the...
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KNIME on Amazon EMR - Guide
KNIME on Amazon EMR - Guideandisa.dewiMon, 09/07/2020 - 10:00Use this short guide to find out how to use KNIME Analytics Platform together with Amazon Elastic MapReduce. Learn how to connect to Amazon...
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Text Mining Use Cases plus Deep-Dive into Techniques
Text Mining Use Cases plus Deep-Dive into TechniquesRedfieldThu, 09/10/2020 - 10:00Text mining is an efficient data analysis technique to use if you need to not only get a quick sense of the content of...
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Will They Blend? 2nd Edition - Data Blending with KNIME - Expanded and Updated
Will They Blend? 2nd Edition - Data Blending with KNIME - Expanded and UpdatedLadaMon, 09/14/2020 - 10:00Data Blending is a Challenge … Or Is It?Data often reside on different dislocated data sources:...
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Cohen's Kappa: what it is, when to use it, how to avoid pitfalls
Cohen's Kappa: what it is, when to use it, how to avoid pitfallsMaaritMon, 09/21/2020 - 10:08As first published in The New Stack.Cohen’s kappa is a metric often used to assess the agreement between two...
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Easy Interpretation of a Logistic Regression Model with Delta-p Statistics
Easy Interpretation of a Logistic Regression Model with Delta-p StatisticsMaaritMon, 09/28/2020 - 10:00Key TakeawaysWith Delta-p statistics, the predictions based on a logistic regression model are...
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Integrated Deployment - Deploying an AutoML Application with Guided Analytics
Integrated Deployment - Deploying an AutoML Application with Guided AnalyticspaolotamagMon, 10/05/2020 - 10:00IntroductionWelcome to our collection of articles on the topic of Integrated Deployment,...
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An Introduction to Reinforcement Learning
An Introduction to Reinforcement LearningCoreyMon, 10/12/2020 - 10:00Teaching KNIME to Play Tic-Tac-ToeIn this blog post I'd like to introduce some basic concepts of reinforcement learning, some...
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Solving a Kaggle Challenge using the combined power of KNIME Analytics...
Solving a Kaggle Challenge using the combined power of KNIME Analytics Platform & H2OMarten_Pfannen…Wed, 10/14/2020 - 14:04Demand Prediction ChallengesSome time ago, we set our mind to solving a...
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Combining the power of KNIME and H2O.ai in a single integrated workflow
Combining the power of KNIME and H2O.ai in a single integrated workflowadminWed, 10/14/2020 - 20:00Expanding Partnership by adding KNIME H2O Driverless AI supportToday, we’d like to look at how...
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Will They Blend? MDF meets Apache Kafka. How's the engine doing?
Will They Blend? MDF meets Apache Kafka. How's the engine doing?Anonymous (not verified)Mon, 10/19/2020 - 10:00In this blog series we experiment with the most interesting blends of data and tools....
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