Episodes
-
01:04:31 Architects of Intelligence with Martin Ford
Machine Learning – Software Engineering Daily addArtificial 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 Intelligence with Martin Ford appeared first on Software Engineering Daily.
- 01:02:33
Kubeflow: TensorFlow on Kubernetes with David Aronchick
Machine Learning – Software Engineering Daily addWhen 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 David Aronchick appeared first on Software Engineering Daily.
-
Missing episodes?
- 00:53:08
Human Sized Robots with Zach Allen
Machine Learning – Software Engineering Daily addRobots 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 first on Software Engineering Daily.
- 01:01:47
Word2Vec with Adrian Colyer Holiday Repeat
Machine Learning – Software Engineering Daily addOriginally 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 appeared first on Software Engineering Daily.
- 00:59:05
Self-Driving Deep Learning with Lex Fridman Holiday Repeat
Machine Learning – Software Engineering Daily addOriginally posted on 28 July 2017. Self-driving cars are here. Fully autonomous systems like Waymo are being piloted in less complex circumstances. Human-in-the-loop systems like Tesla Autopilot navigate drivers when it is safe to do so, and lets the human take control in ambiguous circumstances. Computers are great at memorization, but not yet great at
The post Self-Driving Deep Learning with Lex Fridman Holiday Repeat appeared first on Software Engineering Daily.
- 00:55:38
Poker Artificial Intelligence with Noam Brown Holiday Repeat
Machine Learning – Software Engineering Daily addOriginally posted on May 12, 2015. Humans have now been defeated by computers at heads up no-limit holdem poker. Some people thought this wouldn’t be possible. Sure, we can teach a computer to beat a human at Go or Chess. Those games have a smaller decision space. There is no hidden information. There is no
The post Poker Artificial Intelligence with Noam Brown Holiday Repeat appeared first on Software Engineering Daily.
- 01:12:56
Reflow: Distributed Incremental Processing with Marius Eriksen
Machine Learning – Software Engineering Daily addThe volume of data in the world is always increasing. The costs of storing that data is always decreasing. And the means for processing that data is always evolving. Sensors, cameras, and other small computers gather large quantities of data from the physical world around us. User analytics tools gather information about how we are
The post Reflow: Distributed Incremental Processing with Marius Eriksen appeared first on Software Engineering Daily.
- 00:51:07
Computer Architecture with Dave Patterson
Machine Learning – Software Engineering Daily addAn instruction set defines a low level programming language for moving information throughout a computer. In the early 1970’s, the prevalent instruction set language used a large vocabulary of different instructions. One justification for a large instruction set was that it would give a programmer more freedom to express the logic of their programs. Many
The post Computer Architecture with Dave Patterson appeared first on Software Engineering Daily.
- 00:57:43
Diffbot: Knowledge Graph API with Mike Tung
Machine Learning – Software Engineering Daily addGoogle Search allows humans to find and access information across the web. A human enters an unstructured query into the search box, the search engine provides several links as a result, and the human clicks on one of those links. That link brings up a web page, which is a set of unstructured data. Humans
The post Diffbot: Knowledge Graph API with Mike Tung appeared first on Software Engineering Daily.
- 01:00:09
Drift: Sales Bot Engineering with David Cancel
Machine Learning – Software Engineering Daily addDavid Cancel has started five companies, most recently Drift. Drift is a conversational marketing and sales platform. David has a depth of engineering skills and a breadth of business experience that make him an amazing source of knowledge. In today’s episode, David discusses topics ranging from the technical details of making a machine learning-driven sales
The post Drift: Sales Bot Engineering with David Cancel appeared first on Software Engineering Daily.
- 01:08:59
Generative Models with Doug Eck
Machine Learning – Software Engineering Daily addGoogle Brain is an engineering team focused on deep learning research and applications. One growing area of interest within Google Brain is that of generative models. A generative model uses neural networks and a large data set to create new data similar to the ones that the network has seen before. One approach to making
The post Generative Models with Doug Eck appeared first on Software Engineering Daily.
- 00:58:14
Real Estate Machine Learning with Or Hiltch
Machine Learning – Software Engineering Daily addStock traders have access to high volumes of information to help them make decisions on whether to buy an asset. A trader who is considering buying a share of Google stock can find charts, reports, and statistical tools to help with their decision. There are a variety of machine learning products to help a technical
The post Real Estate Machine Learning with Or Hiltch appeared first on Software Engineering Daily.
- 00:58:11
RideOS: Fleet Management with Rohan Paranjpe
Machine Learning – Software Engineering Daily addSelf-driving transportation will be widely deployed at some point in the future. How far off is that future? There are widely varying estimations: maybe you will summon a self-driving Uber in a New York within 5 years, or maybe it will take 20 years to work out all of the challenges in legal and engineering.
The post RideOS: Fleet Management with Rohan Paranjpe appeared first on Software Engineering Daily.
- 00:57:17
Stitch Fix Engineering with Cathy Polinsky
Machine Learning – Software Engineering Daily addStitch Fix is a company that recommends packages of clothing based on a set of preferences that the user defines and updates over time. Stitch Fix’s software platform includes the website, data engineering infrastructure, and warehouse software. Stitch Fix has over 5000 employees, including a large team of engineers. Cathy Polinsky is the CTO of
The post Stitch Fix Engineering with Cathy Polinsky appeared first on Software Engineering Daily.
- 00:58:55
DoorDash Engineering with Raghav Ramesh
Machine Learning – Software Engineering Daily addDoorDash is a last mile logistics company that connects customers with their favorite national and local businesses. When a customer orders from a restaurant, DoorDash needs to identify the ideal driver for picking up the order from the restaurant and dropping it off with the customer. This process of matching an order to a driver
The post DoorDash Engineering with Raghav Ramesh appeared first on Software Engineering Daily.
- 01:04:32
Self-Driving Engineering with George Hotz
Machine Learning – Software Engineering Daily addIn the smartphone market there are two dominant operating systems: one closed source (iPhone) and one open source (Android). The market for self-driving cars could play out the same way, with a company like Tesla becoming the closed source iPhone of cars, and a company like Comma.ai developing the open source Android of self-driving cars.
The post Self-Driving Engineering with George Hotz appeared first on Software Engineering Daily.
- 00:53:24
Botchain with Rob May
Machine Learning – Software Engineering Daily add“Bots” are becoming increasingly relevant to our everyday interactions with technology. A bot sometimes mediates the interactions of two people. Examples of bots include automated reply systems, intelligent chat bots, classification systems, and prediction machines. These systems are often powered by machine learning systems that are black boxes to the user. Today’s guest Rob May
The post Botchain with Rob May appeared first on Software Engineering Daily.
- 01:00:33
Machine Learning Deployments with Diego Oppenheimer
Machine Learning – Software Engineering Daily addMachine learning models allow our applications to perform highly accurate inferences. A model can be used to classify a picture as a cat, or to predict what movie I might want to watch. But before a machine learning model can be used to make these inferences, the model must be trained and deployed. In the
The post Machine Learning Deployments with Diego Oppenheimer appeared first on Software Engineering Daily.
- 00:57:05
Machine Learning Stroke Identification with David Golan
Machine Learning – Software Engineering Daily addWhen a patient comes into the hospital with stroke symptoms, the hospital will give that patient a CAT scan, a 3-dimensional imaging of the patient’s brain. The CAT scan needs to be examined by a radiologist, and the radiologist will decide whether to refer the patient to an interventionist–a surgeon who can perform an operation
The post Machine Learning Stroke Identification with David Golan appeared first on Software Engineering Daily.
- 00:57:50
Digital Evolution with Joel Lehman, Dusan Misevic, and Jeff Clune
Machine Learning – Software Engineering Daily addEvolutionary algorithms can generate surprising, effective solutions to our problems. Evolutionary algorithms are often let loose within a simulated environment. The algorithm is given a function to optimize for, and the engineers expect that algorithm to evolve a solution that optimizes for the objective function given the constraints of the simulated environment. But sometimes these
The post Digital Evolution with Joel Lehman, Dusan Misevic, and Jeff Clune appeared first on Software Engineering Daily.
- Show more