KNIME general.

Guided Labeling Blog Series - Episode 4: From Exploration to Exploitation

Mon, 06/08/2020 - 10:00 paolotamag

One of the key challenges in using supervised machine learning for real world use cases is that most algorithms and models require a sample of data that is large enough to represent the actual reality your model needs to learn.

These data need to be labeled. These labels will be used as the target variable when your predictive model is trained. In this series we've been looking at different labeling techniques that improve the labeling process and save time and money.

Guided Labeling Model Uncertainty

How to create an interactive dashboard in three steps with KNIME Analytics Platform

Mon, 05/25/2020 - 10:00 emilio_s

Everybody loves charts, graphs...visualizations! They are neat, fast, and straightforward. Even with messy and disorganized data, a good visualization is the key to show insights and features that are difficult to point out on a raw table. In this blog post I will show you how to build a simple, but useful and good-looking dashboard to present your data - in three simple steps!

Create an interactive dashboard in 3 steps

KNIME on Databricks - Guide

Mon, 05/18/2020 - 08:28 andisa.dewi

Continuing with our series of articles about cloud connectivity, this blog post is an introduction of how to use KNIME on Databricks. It's written as a guide, showing you how to connect to a Databricks cluster within KNIME Analytics Platform, as well as looking at several ways to access data from Databricks and upload them back to Databricks.

KNIME on Databricks

Ten common issues when using Excel for data operations

Mon, 05/04/2020 - 10:00 rs

I know you are still using Excel sheets to transform and/or analyze your data! I know, because most of us still use it to some extent. There is nothing wrong with using Excel. Excel spreadsheets are a great tool to collect and transform small amounts of data. However, when the game becomes harder and requires larger amounts of data, Excel starts showing its limitations.

Analyzing Gene Expression Data with KNIME

Mon, 04/27/2020 - 10:00 Jeany

Express Yourself!

All individuals are unique and so are our data needs. From simple csv files to REST APIs to Google’s BigQuery or using customized shared components, KNIME Analytics Platform offers many ways to access and analyze your data. Today, we will demonstrate how to access all of these aforementioned data sources through the use case of analyzing and annotating gene expression data.

Analyzing Gene Expression Data with KNIME
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