Data Science Festival - Main Day
Jay Liu - How can we predict a successful data science project
Collaboration and sharing will help you to discover, avoid mistakes or incorrect assumptions about the data in early stage of project. One of the often mistakes that happens is collect large amount of data over period of time just to find out that they are useless because of flaw in methodology at the beginning.
Video: How can we predict a successful data science project?
James Cheshire - Less is More: Data Visualisations for Big Data
Story of interdisciplinary colaboration betweed data science and design expert and benefits of involment designer in early stage of projects.
- Use metaphors to tell story.
- Pick one trajectory to help users familiarize and understand the bigger picture.
Video: Less is More: Data Visualisations for Big Data
Ankur Modi - Using AI to understand Human Behavior at the workplace
Preventing security breaches with data science and artificial intelligence.
Average employee spend 15 hours per month criticing their boss.
When analyzing user data focus on the “normal behaviour” not on the anomalies.
Video: Using AI to understand Human Behaviour in the workplace
Marco Bonzanini - Word Embeddings for Natural Language Processing in Python
Introduction to word vectors and nlp in python. Appraise for gensim library.
Video: Word Embeddings for Natural Language Processing in Python
Miriam Redi - The Science of Visual Interactions
Research in identification of artistic beauty, sentiment or creativity of visual data through AI and applying this knowledge(algorithms) on social media networks like Flickr or Vine.
I wish to have this algorightms when processing photos from my camera.
Video: The Science of Visual Interactions
Raoul-Gabriel Urma - Big Data! Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin
Introduction to Spark, Amazon EMR and Zeppelin. Nice console to play with and easy to scale.
Video: Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin
Gianluca Campanella - New uses for old tools: an introduction to mathematical programming
Nice introduction and examples, but as it was in late hours my mind had a trouble process the math input.
Run away from non convex problems.
Video: From PhD to life: using science to get a job in data
Peter Moore - I went to work as an SQL programmer, and left as a hostage
How to survive in terrible situation. Is exchange of life of one computer scientist for local leader of military group good deal? Bad guys are the good guys now (It is complicated).
Video: I went to work as an SQL programmer, and left as a hostage.
Date:
2017-04-29 09:30 - 18:00
Location:
| Skills Matter | CodeNode, 10 South Place, London, EC2M 7EB, GB |