Building an Automated Analytics System. The talk will be a deep dive on some of the technology Tom’s used to … Continue reading “DSF Day 4 King 2018 – Tom Matcham”

How to spot biases in your datasets. Jessica will be sharing her experience working for one of the biggest social games … Continue reading “DSF Day 4 King 2018 – Jessica Van Der Kroef”

What’s changing in Deep Learning, as models and data sets get larger and more complex. The increasing need for larger … Continue reading “Data Science Festival 2018 – Scott Soutter”

H2O’s Driverless AI – An AI that creates AI! Through my kaggle journey to the top spot, I have noticed … Continue reading “Data Science Festival 2018 – Marios Michailidis”

Reinventing a traditional business through smart use of data science. Lending to small businesses has historically been a task banks … Continue reading “Data Science Festival 2018 – Jerome Le Luel”

Making Sense of Big Data File formats * Modern applications generate and manipulate a lot of data. The growth rate … Continue reading “Data Science Festival 2018 – Raoul Gabriel Urma”

Can Artificial Intelligence be used to understand the intricacies of human behaviour? Ankur Modi shows how basic data and AI … Continue reading “Data Science Festival 2018 – Ankur Modi”

Lessons learned from teaching Data Science. The current shortage of talent in Data Science has led to the creation of … Continue reading “Data Science Festival 2018 – Gianluca Campanella”

Human vs (or with?) Machine : The Future of AI Artificial intelligence and machine learning are buzzwords that have entered … Continue reading “Data Science Festival 2018 – Florian Douetteau”

How data helps keep King’s players happily crushing candy, 5 years since launch. The Candy Crush franchise grew revenues over … Continue reading “Data Science Festival 2018 – Phil Howard”

Word embeddings: Beyond word2vec.  Word embeddings is a very convenient and efficient way to extract semantic information from large collections … Continue reading “Data Science Festival 2018 – Kostas Perifanos”

Extending NLP algorithms to understand customer preferences. The unsupervised “2vec” algorithms (e.g. word2vec) learn embeddings extremely quickly, scale well and … Continue reading “Data Science Festival 2018 – Adam Hornsby”

How do data scientists accelerate their analytics journey from statistics to machine learning to AI. SAS is the market leading … Continue reading “Data Science Festival 2018 – Kayne Putman”

Complexity and interpretability of Machine Learning, what’s the trade off? This may pose challenges in building trust in those models, … Continue reading “Data Science Festival 2018 – Kasia Kulma”