We're happy to announce John Emery as COTM for July! Not only is John the first certified trainer of KNIME Software (check out the new KNIME Certified Trainer badge) and a speaker at our events, but he is also the author of several blog posts about parsing and analyzing PDF documents, running baseball hitting streak simulations, or cracking Wordle.
Not only is Christophe an active member of the KNIME Forum and a speaker at our events, but has also co-authored several scientific papers on various QSAR topics where he has used KNIME, which you can read below.
- ADME Prediction with KNIME: Prediction of Human Oral Bioavailability
- ADME prediction with KNIME: In Silico Aqueous Solubility
- Automated Framework for QSAR Modeling of Highly Imbalanced Data
- ADME prediction with KNIME: A retrospective contribution to the second “Solubility Challenge”
- Isometric Stratified Ensembles: Adaptive Applicability Domain and Consensus Classification of Colloidal Aggregation
Bruno Ng is a highly active member of the KNIME Forum and has also made many valuable contributions to the KNIME Hub in his public space. Bruno always engages other KNIMErs with the utmost courtesy and clarity. To date, he has created 1.9k posts, received 3.1k hearts, and provided 214 solutions. Thank you, Bruno!
An expert in marketing analytics and NLP, Francisco Ordenes has taught such topics using KNIME software at several universities throughout his career.
Together with a team at KNIME, he developed a live repository for ML in marketing analytics on the KNIME Hub with reusable solutions for customer churn, sentiment analysis, automated image analysis, SEO & CX. An extensive analysis of this project is provided in his research paper.
Nicky Dee's many video tutorials represent an extensive, organized, easy to digest, and useful resource for newbies and expert KNIME users to progress in their knowledge of KNIME, including exploration of lookup IDs, pivoting and unpivoting, aggregations, conditional math, date and time operations, excel function translations, and many more data transformation and ETL operations.
Malik has impacted DNA, mRNA, and miRNA analysis, gene ontology, and molecular biology with his research, as confirmed by a long list of publications in top, peer reviewed scientific journals, books, and US patents. He has developed ML algorithms to predict mRNA and their targets, analyze gene expression, and integrate mRNA and miRNA expression profiles via machine learning.
Andrea has had a multifaceted career. He’s been a business data analyst, data scientist, BI and data science manager at Vodafone and P&G, a university professor at various universities across Europe, a blogger, social media influencer, and book author. Throughout his career, and for all his professional activities, KNIME has been his reliable companion. His latest book – “Data Analytics Made Easy” published by Packt in 2021 – shows how to use machine learning and data science techniques in the business context without writing any code.
We are happy to announce Ashok K Harnal’s automated feature engineering components as the community contributions for November. These community components add unique functionalities to KNIME Hub, and provide good examples on how to bundle and share Python scripts without dependency issues. Visit the Community Component Highlights section on the Verified Component web page to learn more.
Congratulations Brian Bates - our Contributor of the Month for October - who is a trusted presence in our forum community. Despite registering on the KNIME forum only six months ago, he’s already accumulated more favorites and replies posted than almost anyone over the past year!
When we asked Brian what motivates him, he said “I get a lot of satisfaction out of the challenges presented on the forum and assisting others with their workflows. It's always nice to see a solution working for somebody where they've perhaps been struggling for a while.”
Check out two of Brian's many component: Open File or Folder for quickly opening and checking on a file or folder in your KNIME workspace, and String Emoji Filter for removing emojis out of emails or tweets.
Ignacio's work revolves around the Spanish-speaking KNIME community. He established and currently overviews the Spanish questions on the Forum, regularly hosts courses in Spanish, and he also translated the ebook "de Excel a KNIME Analytics Platform” into Spanish. Ignacio is a respected reference for our Spanish-speaking community members! Thanks Ignacio for your contributions!
Tosin is not only an active KNIME user, but she also shares valuable contributions on the KNIME Hub and knowledge through her posts on social media. Tosin also moderated the KNIME, Excel, & Reporting user group meeting at the recent KNIME Data Talks - Community Edition. Lastly, take a look at her Fraud Detection project (using KNIME of course!) on her LinkedIn page.
Makkynm is an active KNIME community member and has written numerous blog posts and guides in Japanese be it for beginner, intermediate, or advanced KNIME users.
Alzbeta Tuerkova and co-author Barbara Zdrazil, in their research paper show how KNIME is used for an efficient and reproducible drug-repurposing strategy to identify new drug candidates for rare diseases and COVID-19. The workflow, tutorials, and information gained on COVID-19 data are freely available to the scientific community for follow-up studies or can be tailored to specific needs of other use cases.
Giuseppe Di Fatta is Head of the Department of Computer Science at the University of Reading, where he also teaches data science courses using KNIME Analytics Platform: Data Science Algorithms & Tools, and Data Analytics and Mining. The current KNIME Certification Program was developed in collaboration with Giuseppe, too. As an ardent KNIME advocate, he’s also been sharing his positive experiences using KNIME software with the academic community.
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