Machine Learning Archives - Software Engineering Daily
Machine Learning Archives - Software Engineering Daily
Technical interviews about software topics.
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Machine Learning Archives - Software Engineering Daily
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May 2, 2024
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Episodes
Rasa: Conversational AI with Tom Bocklisch 24.04.2020 52:21
Chatbots became widely popular around 2016 with the growth of chat platforms like Slack and voice interfaces such as Amazon Alexa. As chatbots came into use, so did the infrastructure that enabled chatbots. NLP APIs and complete chatbot frameworks came out to make it easier for people to build chatbots. The first suite of chatbot The post Rasa: Conversational AI with Tom Bocklisch appeared first o...
Snorkel: Training Dataset Management with Braden Hancock 09.04.2020 52:56
Machine learning models require the use of training data, and that data needs to be labeled. Today, we have high quality data infrastructure tools such as TensorFlow, but we don’t have large high quality data sets. For many applications, the state of the art is to manually label training examples and feed them into the The post Snorkel: Training Dataset Management with Braden Hancock appeared firs...
Descript with Andrew Mason 13.03.2020 44:07
Descript is a software product for editing podcasts and video. Descript is a deceptively powerful tool, and its software architecture includes novel usage of transcription APIs, text-to-speech, speech-to-text, and other domain-specific machine learning applications. Some of the most popular podcasts and YouTube channels use Descript as their editing tool because it provides a set of The post Descr...
Anyscale with Ion Stoica 13.02.2020 48:56
Machine learning applications are widely deployed across the software industry. Most of these applications used supervised learning, a process in which labeled data sets are used to find correlations between the labels and the trends in that underlying data. But supervised learning is only one application of machine learning. Another broad set of machine learning The post Anyscale with Ion Stoica...
Practical AI with Chris Benson 09.12.2019 44:40
Machine learning algorithms have existed for decades. But in the last ten years, several advancements in software and hardware have caused dramatic growth in the viability of applications based on machine learning. Smartphones generate large quantities of data about how humans move through the world. Software-as-a-service companies generate data about how these humans interact with The post Practi...
Future of Computing with John Hennessy Holiday Repeat 26.11.2019 56:43
Originally published June 7, 2018 Moore’s Law states that the number of transistors in a dense integrated circuit doubles about every two years. Moore’s Law is less like a “law” and more like an observation or a prediction. Moore’s Law is ending. We can no longer fit an increasing amount of transistors in the same The post Future of Computing with John Hennessy Holiday Repeat appeared first on Sof...
Incident Response Machine Learning with Chris Riley 12.11.2019 45:50
Software bugs cause unexpected problems at every company. Some problems are small. A website goes down in the middle of the night, and the outage triggers a phone call to an engineer who has to wake up and fix the problem. Other problems can be significantly larger. When a major problem occurs, it can cause The post Incident Response Machine Learning with Chris Riley appeared first on Software En...
Traces: Video Recognition with Veronica Yurchuk and Kostyantyn Shysh 08.10.2019 1:00:45
Video surveillance impacts human lives every day. On most days, we do not feel the impact of video surveillance. But the effects of video surveillance have tremendous potential. It can be used to solve crimes and find missing children. It can be used to intimidate journalists and empower dictators. Like any piece of technology, video The post Traces: Video Recognition with Veronica Yurchuk and Ko...
Cruise: Self-Driving Engineering with Mo Elshenawy 01.10.2019 48:58
The development of self-driving cars is one of the biggest technological changes that is under way. Across the world, thousands of engineers are working on developing self-driving cars. Although it still seems far away, self-driving cars are starting to feel like an inevitability. This is especially true if you spend much time in downtown San The post Cruise: Self-Driving Engineering with Mo Elshe...
People.ai: Machine Learning for Sales with Andrey Akselrod 07.08.2019 45:29
A large sales organization has hundreds of sales people. Each of those sales people manages a set of accounts who they are trying to close sales deals on. Sales people are overseen by managers who ensure that the sales people are performing well. Directors and VPs ensure the scalability and health of the overall sales The post People.ai: Machine Learning for Sales with Andrey Akselrod appeared fir...
WebAssembly on IoT with Jonathan Beri 30.07.2019 49:38
“Internet of Things” is a term used to describe the increasing connectivity and intelligence of physical objects within our lives. IoT has manifested within enterprises under the term “Industrial IoT,” as wireless connectivity and machine learning have started to improve devices such as centrifuges, conveyor belts, and factory robotics. In the consumer space, IoT has The post WebAssembly on IoT w...
Afresh: Grocery Store Software with Volodymyr Kuleshov 26.06.2019 45:26
A grocery store contains fruit, vegetables, meat, bread, and other items that can expire. In order to keep these items in stock, the store must be aware of how much food has been sold and what has gone bad. When a food item is low in stock, the store needs to order more of that The post Afresh: Grocery Store Software with Volodymyr Kuleshov appeared first on Software Engineering Daily .
Niantic Real World with Paul Franceus 21.06.2019 51:56
Niantic is the company behind Pokemon Go, an augmented reality game where users walk around in the real world and catch Pokemon which appear on their screen. The idea for augmented reality has existed for a long time. But the technology to bring augmented reality to the mass market has appeared only recently. Improved mobile The post Niantic Real World with Paul Franceus appeared first on Software...
Stripe Machine Learning Infrastructure with Rob Story and Kelley Rivoire 13.06.2019 1:03:08
Machine learning allows software to improve as that software consumes more data. Machine learning is a tool that every software engineer wants to be able to use. Because machine learning is so broadly applicable, software companies want to make the tools more accessible to the developers across the organization. There are many steps that an The post Stripe Machine Learning Infrastructure with Rob...
Augmented Reality Gaming with Tony Godar 28.05.2019 45:12
Augmented reality applications can be used on smartphones and dedicated AR headsets. On smartphones, ARCore (Google) and ARKit (Apple) allow developers to build for the camera on a user’s smartphone. AR headsets such as Microsoft HoloLens and Magic Leap allow for a futuristic augmented reality headset experience. The most prominent use of augmented reality today The post Augmented Reality Gaming w...
Drishti: Deep Learning for Manufacturing with Krish Chaudhury 17.04.2019 51:51
RECENT UPDATES: Podsheets is our open source set of tools for managing podcasts and podcast businesses New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more FindCollabs Hackathon has ended–winners will probably be announced by the time this episode airs; The post Drishti: Deep Learni...
Protein Structure Deep Learning with Mohammed Al Quraishi 15.04.2019 53:37
RECENT UPDATES: Podsheets is our open source set of tools for managing podcasts and podcast businesses New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more FindCollabs Hackathon has ended–winners will probably be announced by the time this episode airs; The post Protein Structure De...
Machine Learning Joins with Arun Kumar 10.04.2019 59:24
RECENT UPDATES: FindCollabs $5000 Hackathon Ends Saturday April 15th, 2019 New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more Data sets can be modeled in a row-wise, relational format. When two data sets share a common field, those data The post Machine Learning Joins with Arun Kumar ap...
Energy Market Machine Learning with Minh Dang and Corey Noone 11.03.2019 43:15
The demand for electricity is based on the consumption of the electrical grid at a given time. The supply of electricity is based on how much energy is being produced or stored on the grid at a given time. Because these sources of supply and demand fluctuate rapidly but predictably, energy markets present profit opportunities The post Energy Market Machine Learning with Minh Dang and Corey Noone a...
Zoox Self-Driving with Ethan Dreyfuss 20.02.2019 1:03:13
Zoox is a full-stack self-driving car company. Zoox engineers work on everything a self-driving car company needs, from the physical car itself to the algorithms running on the car to the ride hailing system which the company plans to use to drive around riders. Since starting in 2014, Zoox has grown to over 500 employees. The post Zoox Self-Driving with Ethan Dreyfuss appeared first on Software E...
Store2Vec: DoorDash Recommendations with Mitchell Koch 19.02.2019 49:36
DoorDash is a food delivery company where users find restaurants to order from. When a user opens the DoorDash app, the user can search for types of food or specific restaurants from the search bar or they can scroll through the feed section and look at recommendations that the app gives them within their local The post Store2Vec: DoorDash Recommendations with Mitchell Koch appeared first on Softw...
Architects of Intelligence with Martin Ford 31.01.2019 57:11
Artificial intelligence is reshaping every aspect of our lives, from transportation to agriculture to dating. Someday, we may even create a superintelligence–a computer system that is demonstrably smarter than humans. But there is widespread disagreement on how soon we could build a superintelligence. There is not even a broad consensus on how we can define The post Architects of Intelligenc...
Kubeflow: TensorFlow on Kubernetes with David Aronchick 25.01.2019 55:40
When TensorFlow came out of Google, the machine learning community converged around it. TensorFlow is a framework for building machine learning models, but the lifecycle of a machine learning model has a scope that is bigger than just creating a model. Machine learning developers also need to have a testing and deployment process for continuous The post Kubeflow: TensorFlow on Kubernetes with Davi...
Human Sized Robots with Zach Allen 16.01.2019 45:07
Robots are making their way into every area of our lives. Security robots roll around industrial parks at night, monitoring the area for intruders. Amazon robots tirelessly move packages around in warehouses, reducing the time and cost of logistics. Self-driving cars have become a ubiquitous presence in cities like San Francisco. For a hacker in The post Human Sized Robots with Zach Allen appeared...
Word2Vec with Adrian Colyer Holiday Repeat 28.12.2018 54:46
Originally posted on 13 September 2017. Machines understand the world through mathematical representations. In order to train a machine learning model, we need to describe everything in terms of numbers. Images, words, and sounds are too abstract for a computer. But a series of numbers is a representation that we can all agree on, whether The post Word2Vec with Adrian Colyer Holiday Repeat appear...
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