Energy Forecasting Pipelines

In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and user-selected algorithms, we look at wha ...  Show more

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

“AI can be a transformational tool in our fight against climate change," says Sims Witherspoon, a leader at the AI research lab Google DeepMind. Using wind power as her case study, she explains how powerful neural networks can help us better predict Earth's changing ecosystems an ...  Show more

In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use i ...  Show more

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics. If ...  Show more

Megan Pillsbury, CEO of Dunya Analytics, joins us to discuss how businesses can identify and manage environmental-related risks using scalable, science-based tools.