Barbara Fusinska
where else to find them
no profile links on file
what they talk about
all 6 in the filters
where they keep going back
- NDC London2 editions2017–2018
- NDC Sydney2 editions2016–2017
all 7 in the filters
on a stage with
- Ben Hallonce
- Evelina Gabasovaonce
- Jennifer Marsmanonce
who talks about the same things
- Henk Boelman20 talks
- Sara Robinson17 talks
- Oliver Zeigermann13 talks
- Martin Gorner14 talks
- Julien Simon14 talks
- Didier Girard13 talks
| title | conference | date |
|---|---|---|
| Ben Hall & Barbara Fusinska | Copenhagen Developers Festival 2023 | 2023-08-28 |
Explains tokenization, attention and Transformers with a tiny Shakespeare demo that converges after 500 iterations, then scales to production LLMs trained on… | ||
| Natural Language Processing with Deep Learning and TensorFlow | NDC Porto 2019 | 2019-02-26 |
Walks through a practical pipeline: use a 128-dim TF Hub sentence embeddings as input to a DNN (512, 128 hidden layers) trained with TensorFlow Estimators for… | ||
| Introduction to Natural Language Processing with Python | NDC Minnesota 2018 | 2018-05-07 |
Hands-on pipeline that reads the Reuters dataset (74 indexes), builds a 500-word bag of words vocabulary with stop-word filtering and Porter stemming, converts… | ||
| Networks are like onions: Practical Deep Learning with TensorFlow | NDC London 2018 | 2018-01-15 |
Starts with a one-line TensorFlow model that flattens 28x28 MNIST pixels to a 784→10 dense layer and gets ~83% accuracy, then adds a 1024-unit hidden layer… | ||
| Machine Learning with R | Codemotion Milan 2017 | 2017-11-10 |
Classifies handwritten digits from 8x8 pixel vectors using 5‑nearest neighbors via caret, yields a confusion matrix (common confusions: 1↔8, 9↔7). Fits linear… | ||
| TensorFlow in Three Sentences | NDC Sydney 2017 | 2017-08-14 |
Three clear claims: build a computational graph (constants, placeholders, variables; session run), choose a level of abstraction from raw ops to DNNClassifier… | ||
| .NET Rocks Live Panel on Machine Learning | NDC London 2017 | 2017-01-16 |
Join Carl and Richard from .NET Rocks and a panel including Jennifer Marsman, Barbara Fusinska and Evelina Gabasova discussing the state of machine learning… | ||
| Predicting the future as a service with Azure ML and R | NDC London 2017 | 2017-01-16 |
Walks through building a binary income classifier in Azure ML Studio using a 32k-row, 15-column dataset, a boosted decision tree, and an 80/20 split for… | ||
| Streams, lakes and oceans – working with on big data with Azure ML | NDC Sydney 2016 | 2016-08-01 |
Azure ML Studio model training stays under a ~10 GB limit while deployed models serve as REST endpoints; a demo pipeline uses Event Hubs → Stream Analytics to… | ||
| Getting started with R when analysing Github events | Voxxed Days Vienna 2016 | 2016-03-16 |
Uses R to parse GitHub Archive hourly JSON with readLines + jsonlite, converts each line to an event, then filters for only pull_request contains language… | ||
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