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This week, IBM released SPSS Statistics 28 with enriched statistical models, procedural advancements, and productivity improvements to help organizations drive richer analytical insights and make better decisions. Read the blog to learn what’s new in SPSS Statistics. #In-the-know-feature #In-the-know #Featured-area-3-home #Featured-area-1-home #In-the-know #SPSSStatistics
The two most common methods derive their names from queueing theory: open model and closed model. This blog post will answer these two questions about designing benchmarks: Simply put and with commonplace examples, what are open- and closed-model use cases? Are there other considerations to choosing between open- and closed-model tests? #Highlights-home #News-DS #Hands-on-feature #Featured-area-3-home #Featured-area-3-home #GlobalAIandDataScience #GlobalDataScience #Hands-on-feature #Highlights-home #News-DS
Blog post describing how to enable the Watson Assistant/Watson Discovery integration, allowing you to extend the capabilities of your virtual assistant to address those “long tail” questions. #Featured-area-2 #Featured-area-2-home #WatsonDiscovery
Part 1: April 21 Scale your business, empower creativity and drive innovation with AI Part 2: April 22 Expand AI talent: From data scientists to developers to analysts Part 3: May 19 Monitor and govern models: From explainable AI to responsible AI Part 4: June 1 Modernize your predictive and prescriptive analytics Part 5: June 15 Extend your DevOps architecture and tools to be AI- and ModelOps-ready >>Register Here<< #Highlights-home #Hands-on-feature #Featured-area-3-home #GlobalAIandDataScience #GlobalDataScience
If you are familiar with the Watson Assistant Plus plan, then you have likely come across the same question as others: How do I determine what constitutes a “unique” user? #featured-area-3 #featured-area-3-home #featured-area-3 #featured-area-3-home #BuildwithWatsonApps #EmbeddableAI #Featured-area-3 #Featured-area-3-home #Highlights #Highlights-home
If your interest is piqued, you can check out the following blog that has information on the characteristics of an IBM Champion and has more details on the nomination process
Additionally, we’ve migrated all of the blogs from around the IBM Data Science Community related to Modeler into the SPSS Modeler blog space, like Siddhi Gowaikar’s introduction to 18.2.2, Collaboration & Deployment Services 8.2.2 and Analytic Server 3.2.2
Article describing how to enable the Watson Assistant/Watson Discovery integration, allowing you to extend the capabilities of your chatbot to address those "long tail" questions. #Featured-area-1 #Featured-area-1-home #BuildwithWatsonApps #EmbeddableAI #Featured-area-1 #Featured-area-1-home
Courses created by Sepi and her team at IBM: Courses on edX: Introduction to big data with Spark and Hadoop Data Engineering and Machine Learning with Spark Courses on Coursera: Data Analysis with R Data Visualization with R Data Visualization with Python Spark Fundamentals Course on cognitiveclass.ai : Intro to Open source List of Open Source Projects initiated by Sepi and her team at IBM: ParData: https://github.com/CODAIT/pardata https://developer.ibm.com/blogs/pardata-a-conduit-for-easy-and-standardized-data-set-sharing/ DimSum Feature Store: https://github.ibm.com/Kai-Niu/dimsum Text Extension for Pandas: https://github.com/CODAIT/text-extensions-for-pandas https://developer.ibm.com/articles/introducing-text-extensions-for-pandas/ Project CodeNet: https://community.ibm.com/community/user/datascience/blogs/sepideh-seifzadeh1/2021/10/05/ai-for-code-predict-code-complexity-using-ibms-cod https://developer.ibm.com/blogs/ibm-codenet-dataset-empowers-ai-to-tackle-programming-challenges/ Elyra: https://github.com/elyra-ai/elyra https://medium.com/@ptitzler Additional courses recommended by Sepi: https://workera.ai/ https://www.deeplearning.ai/ https://www.youtube.com/channel/UCBa5G ESCn8Yd4vw5U-gIcg Sepi’s Blog on Trusted AI https://www.linkedin.com/pulse/how-prepare-your-ai-next-wave-regulations-trust-ml-seifzadeh-phd/ https://www.ibm.com/opensource/centers/codait/trusted-ai/ https://www.ibm.com/watson/trustworthy-ai https://odsc.com/speakers/odsc-keynote-ai-lifecycle-model-management-monitoring-for-risk-bias-and-fairness/ : https://www.facebook.com/OPENDATASCI/videos/live-keynote-talks-from-leading-data-scientists/2457038924578460/ #AI-skills-feature #Featured-area-2-home #GlobalAIandDataScience #GlobalDataScience #Highlights-home #News-DS
Read more AI Skills Transformers are Graph Neural Networks The intuition behind these architectures are convoluted and this blog does an excellent job explaining how in reality they're fairly digestible as graph networks
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