- Mastering Time Series Analysis with Help From the Experts - Oct 28, 2020.
Read this discussion with the “Time Series” Team at KNIME, answering such classic questions as "how much past is enough past?" others that any practitioner of time series analysis will find useful.
- Missing Value Imputation – A Review - Sep 29, 2020.
Detecting and handling missing values in the correct way is important, as they can impact the results of the analysis, and there are algorithms that can’t handle them. So what is the correct way?
- KNIME Spring Summit Online Edition - Apr 10, 2020.
The KNIME Summits, in spring and fall, have been taking place since 2008 in Europe and the US. In light of the coronavirus, this year’s KNIME Spring Summit moved online. Not too late to participate: KNIME Spring Summit continues online. Check out the extended summit program now.
- Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 24, 2020.
The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.
- KDnuggets™ News 19:n41, Oct 30: Feature Selection: Beyond feature importance?; Time Series Analysis Using KNIME and Spark - Oct 30, 2019.
This week in KDnuggets: Feature Selection: Beyond feature importance?; Time Series Analysis: A Simple Example with KNIME and Spark; 5 Advanced Features of Pandas and How to Use Them; How to Measure Foot Traffic Using Data Analytics; Introduction to Natural Language Processing (NLP); and much, much more!
- Time Series Analysis: A Simple Example with KNIME and Spark - Oct 23, 2019.
The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.
- Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 11, 2019.
We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.
- Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019 - Dec 18, 2018.
This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!
- Four Techniques for Outlier Detection - Dec 6, 2018.
There are many techniques to detect and optionally remove outliers from a dataset. In this blog post, we show an implementation in KNIME Analytics Platform of four of the most frequently used - traditional and novel - techniques for outlier detection.
- KNIME Fall Summit in Austin, November 6-9, 2018 registrations now open! - Jun 29, 2018.
KNIME Fall Summit takes place Nov 6-9 in Austin, Texas. Registration is now open, and KDnuggets readers save 10% on top of early bird rates with code KDNUGGETS!
- Principles of Guided Analytics - Mar 27, 2018.
KNIME outline their guided analytics system and explain how this can assist data scientists to predict future outcomes.
- KNIME US Data Science Roadshow 2018 - Mar 13, 2018.
The Data Science Learnathon is coming to the US, coast to coast. Learn how to use open source, GUI driven KNIME Analytics Platform. We’ll provide datasets, jump-start workflows, solutions, and of course data science experts. Sign-up now.
- Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 27, 2018.
We compare Gartner 2018 Magic Quadrant for Data Science, Machine Learning Platforms vs its 2017 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, Alteryx, H2O.ai, and Domino.
- Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018 - Dec 19, 2017.
Here is a treasure trove of analysis and predictions from 17 leading companies in AI, Big Data, Data Science, and Machine Learning: What happened in 2017 and what will 2018 bring?
- Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions - Apr 14, 2017.
Who leads in Data Science, Machine Learning, and Predictive Analytics? We compare the latest Forrester and Gartner reports for this industry for 2017 Q1, identify gainers and losers, and strong leaders vs contenders.
- Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers - Feb 23, 2017.
We compare Gartner 2017 Magic Quadrant for Data Science Platforms vs its 2016 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, MathWorks, Microsoft, and Quest.
- KNIME Summit, San Francisco, Sep 14-16, KDnuggets Offer - Aug 29, 2016.
KNIME, a leading open Analytics Platform is holding a first North American summit in San Francisco. Use code SUMMIT_KDNUGGETS to get 10% discount. Early bird rates till Sep 4.
- Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers - Feb 16, 2016.
We compare Gartner 2016 Magic Quadrant Advanced Analytics Platforms vs its 2015 version and identify notable changes for leaders and challengers: SAS, IBM, RapidMiner, KNIME, Dell, Angoss, and Microsoft.
- KNIME Spring Summit 2016, Berlin, Feb 22-26, KDnuggets discount - Jan 25, 2016.
Listen to some of the greatest data scientists to speak about their use of KNIME software to solve complex data problems in life sciences, manufacturing, marketing, retail sales, and many other areas. Register and save with code KDNUGGETS_KNIME_SUMMIT2016.
- Anomaly Detection in Predictive Maintenance with Time Series Analysis - Dec 9, 2015.
How can we predict something we have never seen, an event that is not in the historical data? This requires a shift in the analytics perspective! Understand how to standardization the time and perform time series analysis on sensory data.
- Top KDnuggets tweets, Jul 21-27: Beginner Guide to Time Series Analysis; Free Deep Learning online course - Jul 28, 2015.
Beginner #Guide to #TimeSeries #Analysis; Nvidia free #online course: Intro to #DeepLearning ; To Code or Not to Code with @KNIME; Guide To Linear #Regression
- To Code or Not to Code with KNIME - Jul 22, 2015.
Find out how KNIME allows us to integrating analytical languages, such as R and Python and visual design of SQL code. Also, learn to integrate your Hadoop, visualization and ETL systems with the KNIME.
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- Which Big Data, Data Mining, and Data Science Tools go together? - Jun 11, 2015.
We analyze the associations between the top Big Data, Data Mining, and Data Science tools based on the results of 2015 KDnuggets Software Poll. Download anonymized data and analyze it yourself.
- R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites - May 25, 2015.
R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.
- Seven Techniques for Data Dimensionality Reduction - May 14, 2015.
Performing data mining with high dimensional data sets. Comparative study of different feature selection techniques like Missing Values Ratio, Low Variance Filter, PCA, Random Forests / Ensemble Trees etc.
- CRN Big Data Business Analytics Companies - May 12, 2015.
Data, Analytics, and Intelligence play a key role in CRN Big Data 100 in 2015. New additions include predictive analytics firms Knime, Logi Analytics, Looker, Luminoso, Predixion, RapidMiner, and Salesforce.
- Data Mining Process/Workflow Reproducibility and KNIME - May 1, 2015.
What happens with analytics and data mining workflows when different components change? KNIME approach of keeping the old versions as part of the platform guarantees reproducibility.
- Forrester Wave(tm) Big Data Predictive Analytics 2015: Gainers and Losers - Apr 3, 2015.
IBM, SAS, and SAP lead in Forrester Wave(tm) Big Data Predictive Analytics Solutions for Q2, 2015. We compare with a previous Forrester Wave for 2013 and examine gainers and losers.
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- Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost - Feb 23, 2015.
SAS, IBM, KNIME, and RapidMiner lead in Gartner 2015 Magic Quadrant for Advanced Analytics Platforms. We analyze who gained and who lost versus last year.
- Open Innovation in the Age of Big Data - Dec 15, 2014.
Open platforms for data analysis are more important than ever with big data and increasing access to heterogeneous data sources for analysts.
- Top KDnuggets tweets, Nov 26-28: Facebook AI team hires Vladimir Vapnik, father of SVM - Nov 29, 2014.
Facebook's #AI team hires Vladimir Vapnik, father of popular #SVM algorithm; Starting data analysis/wrangling with R: Things I wish I'd been told; How to deal with missing values - advice from @Knime #DataMining; Understanding The Various Sources of #BigData - Infographic.
- Taming the Internet of Things – KNIME Case Study - Sep 30, 2014.
With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.
- KDnuggets 14:n21, Certificates in Analytics, Data Science; Michael Berthold, KNIME; OpenML - Aug 13, 2014.
KDnuggets Analytics, Data mining, and Data Science stories, including Certificates in Analytics, Data Science, online and on-campus; Interview with Michael Berthold, KNIME founder and President; OpenML: Share, Discover and Do Machine Learning, and more.
- Interview: Michael Berthold, KNIME Founder, on Research, Creativity, Big Data, and Privacy, Part 2 - Aug 12, 2014.
We discuss interesting research projects, scientific research and creativity, Big Data hype and reality, is privacy still possible, and advice for beginning Data Scientists.
- Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow - Aug 9, 2014.
We discuss KNIME key features and how it compares to competition, KNIME business model, Pharma, planned development, and transition from an academic project to a company.
- Top 10 Data Analysis Tools for Business - Jun 13, 2014.
Ten free, easy-to-use, and powerful tools to help you analyze and visualize data, analyze social networks, do optimization, search more efficiently, and solve your data analysis problems.
- KDnuggets 15th Annual Analytics, Data Mining, Data Science Software Poll: RapidMiner Continues To Lead - Jun 7, 2014.
With over 3,000 data miners taking part in KDnuggets 15th Annual Software Poll, RapidMiner continues to lead. Free software is used much more outside US, and Hadoop usage grows fastest in Asia.
- Where are your users? Geo-localization with KNIME - Apr 28, 2014.
Learn how KNIME can help you improve user understanding through Geo-localization of IP addresses and dynamic visualization. Access free white paper for more details.
- Data Workflows for Machine Learning - Apr 20, 2014.
Paco Nathan compares several open source frameworks for Machine Learning workflows, including KNIME, IPython Notebook and related libraries, Cascading, Cascalog, and Spark/MLbase, and proposes 9 criteria to evaluate the best alternatives.
- Top stories for Feb 23 – Mar 1: Exclusive Interview with Yann LeCun; Graf.ly; Gartner MQ for Advanced Analytics - Mar 2, 2014.
KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab; Graf.ly: Making beautiful, interactive graphs; SAS, IBM, RapidMiner, Knime leaders in Gartner MQ for Advanced Analytics Platforms; The Dos and Donts of Data Mining.
- KNIME a 2014 Leader in Advanced Analytic Platform: Gartner Magic Quadrant - Feb 25, 2014.
KNIME announced that Gartner has placed KNIME among the "Leaders" in its Magic Quadrant for Advanced Analytic Platforms in recognition of KNIME ability to execute and its completeness of vision.
- SAS, IBM, RapidMiner, Knime leaders in Gartner MQ for Advanced Analytics Platforms - Feb 24, 2014.
Gartner new Magic Quadrant(tm) for Advanced Analytics Platforms names 4 companies as leaders: SAS, IBM, RapidMiner, and Knime. A copy of the report, with evaluations for 15 more companies, is available thanks to RapidMiner.