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Federated Learning: Sharing and Improving Models

Federated Learning: Sharing and Improving Models

by smartlake | Oct 13, 2019 | Artificial Intelligence, banking, Blog, Machine Learning

Introduction The WEF has published a very interesting white paper describing various privacy-enhancing techniques. You can find the document under...
Onboarding Virtual Assistant for Banking: Adding Product Recommendations

Onboarding Virtual Assistant for Banking: Adding Product Recommendations

by smartlake | Sep 16, 2019 | banking, Blog, chatbot, Machine Learning, NLP, wealth management

Improving the Banking Onboarding Assistant In a previous article, https://smartlake.ch/on-boarding-virtual-assistant-myths-and-reality/, we have demonstrated how to use a banking virtual assistant to assist client on boarding. Today we want to go a step further and...
Onboarding Virtual Assistant for Banking: Adding Product Recommendations

On-boarding Virtual Assistant: Myths and Reality

by smartlake | Sep 1, 2019 | Artificial Intelligence, banking, Blog, chatbot, NLP

There is quite a number of myths and legends about virtual assistants. When reading the news and articles, it seems artificial intelligence can learn about everything and then reproduce anything it has learned. This is somewhat true. If it is not trained with business...
Federated Learning: Sharing and Improving Models

Natural Language Processing: Experimenting spaCy and updating the model (Part 5)

by smartlake | May 26, 2019 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining

Introduction In the previous 4 articles we have illustrated the usage of Google and AWS NLP APIs. We have also experimented the spacy library to extract entities and nouns from different documents. We have shown how to improve the modle using pattern matching function...
Federated Learning: Sharing and Improving Models

Natural Language Processing: Experimenting spaCy (Part 4)

by smartlake | May 1, 2019 | Artificial Intelligence, Blog, Machine Learning, NLP, text mining

Introduction In the previous 3 articles we have illustrated the usage of Google and AWS NLP APIs and experimented the spacy library to extract entities and nouns from different documents. We have chosen to use personal profiles and job description, as this is a common...
Federated Learning: Sharing and Improving Models

Natural Language Processing: Experimenting Entity Recognition ( Part 1 Google NLP API)

by smartlake | Apr 21, 2019 | Artificial Intelligence, Blog, Machine Learning, text mining

Introduction Natural language processing is one of the most promising areas of machine learning and artificial intelligence today and the area that is growing the fastest. There are lots of figures out there that are trying to predict the growth of the market, but I...
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The Next Web: What is semi-supervised machine learning? #machinelearning #ai . thenextweb.com/neural/2021/01…

About a day ago from Patrick Rotzetter's Twitter via Twitter for Android

VentureBeat: AI Weekly: Meet the people trying to replicate and open-source OpenAI's GPT-3. #machinelearning #ai #nlp venturebeat.com/2021/01/15/ai…

About 4 days ago from Patrick Rotzetter's Twitter via Twitter for Android

Feature store repositories emerge as an MLOps linchpin for advancing AI #machinelearning #ai venturebeat.com/2021/01/15/fe… via @VentureBeat

About 4 days ago from Patrick Rotzetter's Twitter via Twitter for Android

AI model learning on the edge will take some time to come, but will become reality in few years #MachineLearning #edgeML itbusinessedge.com/blogs/it-u…

About 4 days ago from Patrick Rotzetter's Twitter via Twitter for Mac

VentureBeat: Salesforce researchers release framework to test NLP model robustness. #machinelearning #NLP venturebeat.com/2021/01/13/sa…

About 6 days ago from Patrick Rotzetter's Twitter via Twitter for Android

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Popular posts:

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Recent Posts

  • Experimenting Azure Automated Machine Learning
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  • Onboarding Virtual Assistant for Banking: Behind the Scene ( Part I )
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  • Personalizing Client Interaction in Financial Services

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Artificial Intelligence banking chatbot chatbots client management dataanalysis data privacy datascience deeplearning federated learning financial services fraud detection machine learning Natural Language Processing NLP personalization project management python R spacy text mining virtualassistant wealth management wealthtech