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Surveying The Landscape Of AI and ML From An Investor's Perspective
Summary Artificial Intelligence is experiencing a renaissance in the wake of breakthrough natural language models. With new businesses sprouting up to address the various needs of ML and AI teams across the industry, it is a constant challe
Applying Federated Machine Learning To Sensitive Healthcare Data At Rhino Health
Summary A core challenge of machine learning systems is getting access to quality data. This often means centralizing information in a single system, but that is impractical in highly regulated industries, such as healthchare. To address th
Using Machine Learning To Keep An Eye On The Planet
Summary Satellite imagery has given us a new perspective on our world, but it is limited by the field of view for the cameras. Synthetic Aperture Radar (SAR) allows for collecting images through clouds and in the dark, giving us a more cons
The Role Of Model Development In Machine Learning Systems
Summary The focus of machine learning projects has long been the model that is built in the process. As AI powered applications grow in popularity and power, the model is just the beginning. In this episode Josh Tobin shares his experience
Real-Time Machine Learning Has Entered The Realm Of The Possible
Summary Machine learning models have predominantly been built and updated in a batch modality. While this is operationally simpler, it doesn't always provide the best experience or capabilities for end users of the model. Tecton has been in
How Shopify Built A Machine Learning Platform That Encourages Experimentation
Summary Shopify uses machine learning to power multiple features in their platform. In order to reduce the amount of effort required to develop and deploy models they have invested in building an opinionated platform for their engineers. Th
Applying Machine Learning To The Problem Of Bad Data At Anomalo
Summary All data systems are subject to the "garbage in, garbage out" problem. For machine learning applications bad data can lead to unreliable models and unpredictable results. Anomalo is a product designed to alert on bad data by applyin
Build More Reliable Machine Learning Systems With The Dagster Orchestration Engine
Summary Building a machine learning model one time can be done in an ad-hoc manner, but if you ever want to update it and serve it in production you need a way of repeating a complex sequence of operations. Dagster is an orchestration engin
Solve The Cold Start Problem For Machine Learning By Letting Humans Teach The Computer With Aitomatic
Summary Machine learning is a data-hungry approach to problem solving. Unfortunately, there are a number of problems that would benefit from the automation provided by artificial intelligence capabilities that don’t come with troves of data
Convert Your Unstructured Data To Embedding Vectors For More Efficient Machine Learning With Towhee
Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how
Shedding Light On Silent Model Failures With NannyML
Summary Because machine learning models are constantly interacting with inputs from the real world they are subject to a wide variety of failures. The most commonly discussed error condition is concept drift, but there are numerous other wa
How To Design And Build Machine Learning Systems For Reasonable Scale
Summary Using machine learning in production requires a sophisticated set of cooperating technologies. A majority of resources that are available for understanding how to design and operate these platforms are focused on either simple examp
Building A Business Powered By Machine Learning At Assembly AI
Summary The increasing sophistication of machine learning has enabled dramatic transformations of businesses and introduced new product categories. At Assembly AI they are offering advanced speech recognition and natural language models as
Update Your Model's View Of The World In Real Time With Streaming Machine Learning Using River
Summary The majority of machine learning projects that you read about or work on are built around batch processes. The model is trained, and then validated, and then deployed, with each step being a discrete and isolated task. Unfortunately
Using AI To Transform Your Business Without The Headache Using Graft
Summary Machine learning is a transformative tool for the organizations that can take advantage of it. While the frameworks and platforms for building machine learning applications are becoming more powerful and broadly available, there is
Accelerate Development And Delivery Of Your Machine Learning Projects With A Comprehensive Feature Platform
Summary In order for a machine learning model to build connections and context across the data that is fed into it the raw data needs to be engineered into semantic features. This is a process that can be tedious and full of toil, requiring
Build Better Models Through Data Centric Machine Learning Development With Snorkel AI
Summary Machine learning is a data hungry activity, and the quality of the resulting model is highly dependent on the quality of the inputs that it receives. Generating sufficient quantities of high quality labeled data is an expensive and
Declarative Machine Learning For High Performance Deep Learning Models With Predibase
Summary Deep learning is a revolutionary category of machine learning that accelerates our ability to build powerful inference models. Along with that power comes a great deal of complexity in determining what neural architectures are best
Stop Feeding Garbage Data To Your ML Models, Clean It Up With Galileo
Summary Machine learning is a force multiplier that can generate an outsized impact on your organization. Unfortunately, if you are feeding your ML model garbage data, then you will get orders of magnitude more garbage out of it. The team b
Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks
Summary Machine learning has the potential to transform industries and revolutionize business capabilities, but only if the models are reliable and robust. Because of the fundamental probabilistic nature of machine learning techniques it ca
Build A Full Stack ML Powered App In An Afternoon With Baseten
Summary Building an ML model is getting easier than ever, but it is still a challenge to get that model in front of the people that you built it for. Baseten is a platform that helps you quickly generate a full stack application powered by
Introducing The Show
Hello, and welcome to the Machine Learning Podcast. I’m your host, Tobias Macey. You might know me from the Data Engineering Podcast (https://www.dataengineeringpodcast.com?utm_source=rss&utm_medium=rss) or the Python Podcast.__init__ (http
