Learn state of the art machine learning technologies including neural networks, deep learning, build powerful models using real-world datasets, and network with leading data scientists, top researchers, and experts from academia and industry!
We’re super-excited to announce the launch of next year’s Coding Summer School! Join us in July/August 2016 for an exciting one-week course that combines coding with an authentic taste of Cambridge University life.
I’m not going to lie, when my parents first told me that they were making me go on a five day coding course, I was horrified. Summer is supposed to be for relaxing and enjoying yourself, doing stuff you enjoy. You shouldn’t have to think besides maybe calculating how many ice creams you can buy … Continue reading
Coding Summer School Tech Talk: How to make a (GameBoy) emulator? – by Petar Veličković Continue reading
Join us for a series of Data Science Tech Talks exploring state-of-the-art techniques and their practical applications. We will be covering a wide range topics such as machine learning, reinforcement learning, computer vision, data visualisation and more. Continue reading
02/06/16 Tech Talk: Stellar Classification using Machine Learning – by Sandra Greiss Continue reading
25/05/16 Tech Lab: Exploratory data analysis & interactive figures with Plotly – by Charles Ravarani Continue reading
Twinkle twinkle little star, how I wonder what you are… This free evening talk will explore Machine Learning applications in astrophysics, using manual star classification techniques as an example. Continue reading
Introduction Previously, we wrote about some common trade-offs in machine learning and the importance of tuning models to your specific dataset. We demonstrated how to tune a random forest classifier using grid search, and how cross-validation can help avoid overfitting when tuning hyperparameters (HPs). In this follow-up post, you’ll beef up your machine learning toolbox … Continue reading
Join us for a free 1-hour hands-on workshop to get an overview of Exploratory data analysis and interactive figures using Plotly. Exploratory data analysis (or EDA) is an effective technique to analyse data sets. It involves summarising data with descriptive statistics, then visualizing data through plotting. Plotly is a useful plotting library that offers intuitive ways to … Continue reading
19/04/16 Tech Talk: An Introduction to Program Verification – by Dominic Orchard As part of our series of Cambridge Coding Academy Tech Talks, this presentation will introduce an increasingly popular class of techniques called “model checking” approaches, covering models, logics, and music programming as an example. Continue reading
Introduction In my previous blog post you can find an overview about how Big Data and Machine Learning are related to each other. The combination of the two can help us in finding answers to important questions across many fields of study. Here are some examples: which particle collisions help us learn more about the … Continue reading
Cambridge Coding Academy 