DataBasic

🎙️ WE ARE BACK! Welcome back to Warwick Data Basic! In this podcast, we follow Professor Victor Sanchez from Warwick, and his work on Computer vision and image processing. In this episode, we dive into what Machine Learning was like in the past and it's improvements over the years. We explore what modern computer vision can do, as well as what it takes for a CV model to work. We explore the intere...

🎙️ WE ARE BACK! Welcome back to Warwick Data Basic! We’re kicking off the new year with an inspiring interview exploring the career journey of a Machine Learning Engineer — from studying in India to building a career in the UK. In this episode, we dive into what it takes to break into the world of ML engineering: from university experiences and technical challenges to navigating the global job mar...

WE ARE BACK! Welcome back to Warwick Data Basic, we kick off the new year with an interview with Dominika Malinowska and Ahmed Elahi, hosted by Ria Govila and Alexandru Pascu. In this episode we dive into the formation of SkyShowtime, a brand new streaming service formed with Data Science at its centre. We review the use of analytics in optimising streaming, and the challenges and benefits that th...

Welcome to another exciting episode of DataBasic! Today, we have the distinct pleasure of hosting a true visionary in the field, Soledad Galli. With a career spanning over a decade in the realms of data science, and machine learning, Soledad has not only witnessed but actively contributed to the transformative evolution of these disciplines along with training over 50,000 students and creating the...

In this episode we delve into the remarkable journey of Javier, Founder of Hal9, creating groundbreaking tech. From startup stories to defining AI, this is an episode where true inspiration meets innovation. 🎉 Join us as we unravel his career – from shaping Data Science projects as part of Microsoft Research to engineering excellence at R Studio. Get ready for an electrifying conversation, where...

In this episode we host Lead VP of Analytics & Data Science at HSBC, Suvadip Chakraborty. We discuss Machine Learning Applications in Banking, Responsible AI, AI in Fintechs VS Banks, Limitations & Opportunities, Open Banking and writing Data Science Fiction! Join us for this exciting episode as we dive into analytics in the Financial Services industry. Get a sneak peek into the world of d...

For this episode we are joined by the exceptional, Catalin-Andrei Ilie, Data Science Engineering Manager at Bolt. We discuss his awe-inspiring journey of becoming the Valedictorian (MSc. and BSc.) at the University of Oxford in Computer Science, his experience working for a hedge fund as a Quantitative Researcher and now managing the Data Science Engineering Team at Bolt, all while completing his...

We are joined by Stefan Iarca, Co-founder of Rayscape to discuss AI in Healthcare. In this power packed episode, Stefan shares his and his team's incredible journey of creating and bringing a state-of-the-art AI product to market. From training models on public datasets to securing 1.5 Million in funding to tackling innumerous challenges in the start-up space, we discuss it all!

WDSS brings to you an incredible episode that combines Generative AI concepts, Creativity and Architecture! Hassan Ragab, a world renowned Computational Designer and Digital Artist, having over 200K + followers, joins us this episode to discuss Generative AI in Art & Design. He talks about his inspirations, the application of AI in architectural designs using Midjourney AI, DALL-E and Stable D...

Humera Yakub, Head of Fraud at Pay. UK joins us this Episode to discuss the intriguing world of Financial Fraud. This episode is a wonderful introduction into Fraud Analytics. With Humera, we explore and deep dive into the following topics : Humera's Career Trajectory  Financial Fraud VS Financial Crime Socially Engineered Scams Value Detection Rate VS False Postive Rate   Machine L...

In this episode, we look at two different sides of the online dating game. First, we discuss statistically optimal Tinder strategies with our very own president, Patricio Hernández. Then, we talk to James Davey, the student behind RAW's speed dating algorithm. How close can data science get to predicting love?

In this episode, we have the privilege to talk to Helena Sarin, an engineer turned artist who uses machine learning to create her work. Helena's unique art has been exhibited all over the world; from Zurich, to Dubai, to Miami. In this interview we discuss her artistic process, the intersection of technology and art and society's misconceptions about generative art.

In this episode we talk to David Sumpter a Professor of Applied Mathematics at the University of Uppsala and author of books like "Soccermatics", "Outnumbered" and the "Ten Equations that Rule the World". His mathematical background paired with his passion for football has enabled Dr. Sumpter to consult for clubs and countries like Hammersby, Barcelona and England. Here, we will discuss the differ...

As Head of Data Science and Engineering at Walgreens Boots Alliance, Simon Prinn leads a team of over 60 data scientists. In this interview he shares his thoughts on how best to manage and build data science teams, always ensuring to remember the individual in the process.

Grad role or PhD? It's a question troubling many undergraduate and master's students. In this episode, Kenneth Lim talks about his experience undertaking a PhD, the pros and cons, as well as current work as part of IBM's Data Science Elite Team. We also feature a segment by Mathematics and Statistics student Kitti Kovac on the topic of differential privacy.

You may think that the hardest part of statistics is knowing the right techniques, but this skill is worthless if you don't know how to ask the right question in the first place. In this episode, we talk to Professor Jane Hutton, who shares here advice on the topic. We also feature a segment in which we discuss the different types of missing values in data and how to handle them.

In a world increasingly driven by algorithmic decision-making, it is vital that we understand the limitations of such technology. In this episode, Warwick professor Janothan Cave walks through a wide range of examples of algoritms-behaving-badly in health, law, finance, and more. We are feature a segment discussing creativity in machine learning.

It's hard to find a data science degree that doesn't at some point recommend the book "Predictive Analytics". In this episode, we have the pleasure of being joined by Eric Siegel, author of the Amazon category best-selling book, and coordinator of Predictive Analytics World. Breaking up the interview, our Vice-President, Ciaran, discusses the danger of blackbox models in finance.

You've probably heard of Julia, the relatively new programming language promising the speed of C whilst maintaining the simplicity of Python. That said, is it time for you to start learning? In this episode, we talk to data scientist Johannes Smit to find out. We also feature a segment on Goodhart's law introduced through a series of cautionary tales.

In the first episode of DataBasic we discuss what you can expect to see (well, hear) in future episodes and what is currenting going on at WDSS. On top of this there is a segment introducing the basics of Bayesian thinking.