2019-07-14 Lightning Talks

The anatomy of a #deepfake

2019-07-13 Lightning Talks

3 things about Chatbot (you don't have to learn it the hard way)

A Deep Dive into NLP with PyTorch

A gentle introduction to Pandas timeseries and Seaborn

A new approach to DataFrames and pipelines

A practical guide towards algorithmic bias and explainability in machine learning.

A Primer (or Refresher) On Linear Algebra for Data Science

AB-testing by cluster

Active learning in the interactive python environment

Adv. Software Testing for Data Scientists

An introduction to Markov Chain Monte Carlo using PyMC3

Because You Can't Run, You Can't Hide: Some Musings on API Design

Bridging health inequalities through machine learning

Build and Deploy an End-to-end Streaming NLP Insight System

Choose the right neural generative model for your problem

Computer Vision and NLP for Multi-Task Fashion Attrb. Modeling

Data Analysis in Parallel

Data science and Internet of Things on the edge

Data Science for Dinner: Recommending Recipes

Data Science Frameworks + Managed Services

Deep Learning and Time Series Forecasting for Smarter Energy

Embeddings! Embeddings everywhere!

From healthcare.hospital import datascience

Goofing Off with Fun (Big) Data

How am I going to deal with all of these cats

How to Constrain Artificial Stupidity

How to Validate you Client Churn Model

Image search without image captions

Interpretable AI or How I Learned to Stop Worrying and Trust AI

Just ask: designing intent-driven algos

Kafka in Finance: Over 1 Billion messages a day

Knowledge graphs --enter- the Hype Cycle

Maintainable code in data science

Mastering gradient boosting with CatBoost

On the Path to Causal Inference

Productionising Data Science at Scale

Prophet at Scale: Using Prophet at scale to tune and forecast time series at Spotify

Quantamental Investing - the future of finance

Quantifying uncertainty in Machine Learning predictions

Safer Cycling with an Edge TPU watching your back

Testing and Validating Machine Learning Models when Deploying to Production

The frustration of diversity efforts in STEM

The Turing Way: A how to guide for reproducible research

The unreasonable effectiveness of feature hashing

Training intelligent game agents using deep reinforcement learning

Understanding exchange network dynamics with Python

Understanding of distributed processing in Python

Weak supervision: a new paradigm for unreliable labels

What Failure Taught Me About Building High-Stakes Models That Actually Work

You got served: How Deliveroo improved the ranking of restaurants