Adventures in Machine Learning

In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his education in computer science from MIT, to his discovery and embracing of machine learning. Hassan discusses various applications of machine learning, including that of NASA, satellites and edge devic...

TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but what if you can utilize it in Javascript to program deep learning models for frontend web applications. Guest Jason Mayes talks about doing this with Tensorflow JS. Sponsors Machine Learning for Softw...

Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it. Sponsors Machine Learning for Software Engineers by Educative.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Beril Sirmacek Links https://www.youtube.com/user/DrSirmacek/videos http://w...

Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andrew Ng’s deep learning course that started his journey up to his current position. Sponsors Machine Learning for Software Engineers by Educative.io Audible.com CacheFly Panel Charles Max Wood Gant Labor...

One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP ev...

Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network model...

Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning to the extent that a child would be able to grasp it? Robert Plummer discusses incorporating machine learning for Javascript and opens up a whole new paradigm. Sponsors Machine Learning for Software En...

GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images of the Roman Emperors using their busts and frescos. Special guest Jason Antic talks about GANs and his work with deOldify, an application to color and restore images. Sponsor Machine Learning for Sof...

In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with. Sponsor Machine Learni...