Episodes
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00:59:04 Drishti: Deep Learning for Manufacturing with Krish Chaudhury
Machine Learning – Software Engineering Daily addRECENT 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;
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- 01:00:39
Protein Structure Deep Learning with Mohammed Al Quraishi
Machine Learning – Software Engineering Daily addRECENT 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;
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Missing episodes?
- 01:07:03
Machine Learning Joins with Arun Kumar
Machine Learning – Software Engineering Daily addRECENT 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 appeared first on Software Engineering Daily.
- 00:51:02
Energy Market Machine Learning with Minh Dang and Corey Noone
Machine Learning – Software Engineering Daily addThe 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
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- 01:03:04
Zoox Self-Driving with Ethan Dreyfuss
Machine Learning – Software Engineering Daily addZoox 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 Engineering Daily.
- 00:49:36
Store2Vec: DoorDash Recommendations with Mitchell Koch
Machine Learning – Software Engineering Daily addDoorDash 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
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- 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
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- 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.
- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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.
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- 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
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