The early adopter trial for the marking aid from Aptem Enhance is underway. Here's a preview of the tutor’s journey, currently being tested by a select group of our Enterprise customers. Marking aid is one of the upcoming features from Aptem Enhance, designed to replace high-effort, administrative tasks and drive quality outcomes and developed in partnership with Graide - AI Powered Assessment Platform. The marking aid can save time and improve the quality and consistency of tutors’ responses. It also allows for inline feedback, improving the focus and teaching value of any comments provided on exercises. You can learn more about marking aid at the upcoming webinar on 25 February. In this webinar, our product team will give you a closer look at the features and benefits of the marking aid with feedback assistant and preview an upcoming feature - review summarisation. During the webinar, Emily Bowler, Head of MIS, Funding and Compliance at BMS Progress will be sharing their experience of the Aptem Enhance features, including marking aid, and participation in our early adopter and beta trials. You’ll also have a chance to ask questions of our expert panel. Sign up today to secure your place: https://lnkd.in/eb7vZu_6
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Next week! Full online intro to #MAXQDA's features, including the new AI Assit tools. MAXQDA is a powerful software designed to support you in organising and making sense of qualitative and mixed materials. By the end of the course participants will be able to: - Understand the structure of MAXQDA and how it can be used throughout a research project. - Navigate around the software and operate it to undertake analysis. - Understand the importance of analytic planning in harnessing MAXQDA tools powerfully. - Set-up a MAXQA project to reflect initial research design and change structures as a research project progresses. - Identify MAXQDA tools that can be used to fulfil specific analytic tasks, including Documents, manually created and AI-suggested Codes, Variables, Memos, manual and AI-assisted Summaries and Interrogation tools. - Make informed decisions about where and when it may be appropriate to use AI Assist tools within the qualitative analysis workflow. Those who do not have access to MAXQDA can access a free time-limited trial version to take part in the course. Info & book https://buff.ly/3XeGJ0r #QualitativeResearch #phd
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Next week! Full online intro to #MAXQDA's features, including the new AI Assit tools. MAXQDA is a powerful software designed to support you in organising and making sense of qualitative and mixed materials. By the end of the course participants will be able to: - Understand the structure of MAXQDA and how it can be used throughout a research project. - Navigate around the software and operate it to undertake analysis. - Understand the importance of analytic planning in harnessing MAXQDA tools powerfully. - Set-up a MAXQA project to reflect initial research design and change structures as a research project progresses. - Identify MAXQDA tools that can be used to fulfil specific analytic tasks, including Documents, manually created and AI-suggested Codes, Variables, Memos, manual and AI-assisted Summaries and Interrogation tools. - Make informed decisions about where and when it may be appropriate to use AI Assist tools within the qualitative analysis workflow. Those who do not have access to MAXQDA can access a free time-limited trial version to take part in the course. Info & book https://buff.ly/3XeGJ0r #QualitativeResearch #phd
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Next week! Full online intro to #MAXQDA's features, including the new AI Assit tools. MAXQDA is a powerful software designed to support you in organising and making sense of qualitative and mixed materials. By the end of the course participants will be able to: - Understand the structure of MAXQDA and how it can be used throughout a research project. - Navigate around the software and operate it to undertake analysis. - Understand the importance of analytic planning in harnessing MAXQDA tools powerfully. - Set-up a MAXQA project to reflect initial research design and change structures as a research project progresses. - Identify MAXQDA tools that can be used to fulfil specific analytic tasks, including Documents, manually created and AI-suggested Codes, Variables, Memos, manual and AI-assisted Summaries and Interrogation tools. - Make informed decisions about where and when it may be appropriate to use AI Assist tools within the qualitative analysis workflow. Those who do not have access to MAXQDA can access a free time-limited trial version to take part in the course. Info & book https://buff.ly/3XeGJ0r #QualitativeResearch #phd
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Full 1-day online intro to #MAXQDA's features, including the new AI Assist tools. By the end of the course participants will be able to: - Understand the structure of MAXQDA and how it can be used throughout a research project. - Navigate around the software and operate it to undertake analysis. - Understand the importance of analytic planning in harnessing MAXQDA tools powerfully. - Set-up a MAXQA project to reflect initial research design and change structures as a research project progresses. - Identify MAXQDA tools that can be used to fulfil specific analytic tasks, including Documents, manually created and AI-suggested Codes, Variables, Memos, manual and AI-assisted Summaries and Interrogation tools. - Make informed decisions about where and when it may be appropriate to use AI Assist tools within the qualitative analysis workflow. Those who do not have access to MAXQDA can access a free time-limited trial version to take part in the course. Info & book https://buff.ly/3XeGJ0r #QualitativeResearch #phd
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Just finished the course “Machine Learning Fundamentals for Healthcare” by Wuraola Oyewusi! Check it out: https://lnkd.in/gZmwQ2x2 #healthcareinformationtechnology #machinelearning.
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RAG concepts, demos, integration, and use case deep dives in 1 session. Register today! #goML #AWS #LLM #GenAI
Join our webinar to learn how #RAG bridges the gap between factual accuracy and #LLM potential. > Discover core RAG concepts and their impact on various industries. > See real-world use cases and practical integration strategies. > Witness a live demo showcasing RAG's advantages. Register today and transform your #GenerativeAI applications! - https://lnkd.in/g2dP3d59 Rishabh Sood #webinar #goML
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The Machine Learning Fundamentals for Healthcare course includes guided practice using Google Colab Notebook. Take a look:
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Join our webinar to learn how #RAG bridges the gap between factual accuracy and #LLM potential. > Discover core RAG concepts and their impact on various industries. > See real-world use cases and practical integration strategies. > Witness a live demo showcasing RAG's advantages. Register today and transform your #GenerativeAI applications! - https://lnkd.in/g2dP3d59 Rishabh Sood #webinar #goML
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Machine Learning Week Europe will start soon and I'm thrilled to moderate one of the deep dive tracks. It's exactly these #NerdFriendly strictly no-sales-pitches tracks that make #MachineLearningWeek so special. Presentations can go really deep (surprise) and focus on a technical audience. Code, formulas and live demos are welcome. It doesn't get better than this. This year I'll have Christoph Best from Google, Steffen Wagner from INWT Statistics GmbH, Niranjana Ambadi from Goldman Sachs, and Christoph Hoffmann from PROCON IT. Presentatinos will range from #AIGovernance via new #MachineLearning approaches to #DataVisualization and good old #TimeSeriesAnalysis. And here's a special treat if you haven't registered yet: with discount code Wirth15 you will save 15% on the conference fee. Must be the first time I have a personalized discount code - I like it 👍 #AI #KI #DataScience PAYBACK
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SpatialAL (Automated Learning) is PrimeThoughts tool that plugs into our spatial products that performs automated machine learning to predict profitability, turnover, etc. for things like potential new store locations etc. With SpatialAL the more data we put into the Machine Learning algorithm the more accurate or better our fit is likely to be. To learn more visit https://spatialal.com Visit us on https://primethought.biz/ or contact us on [email protected] #PrimeThought #SpatialAL #innovation #productivity #sales #strategy
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1wHayley Wilcox