พอดคาสท์ Machine Learning Software Engineering Daily ชั้นนำ (2021)

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Machine Learning – Software Engineering Daily

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TensorFlow Lite with Pete Warden 40:52

7d ago40:52

40:52

TensorFlow Lite is an open source deep learning framework for on-device inference. TensorFlow Lite was designed to improve the viability of machine learning applications on phones, sensors, and other IoT devices. Pete Warden works on TensorFlow Lite at Google and joins the show to talk about the world of machine learning applications and the necess…

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Machine Learning – Software Engineering Daily

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WebAssembly on IoT with Jonathan Beri (Repeat) 49:38

13d ago49:38

49:38

Originally published July 30, 2019 “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…

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Machine Learning – Software Engineering Daily

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Drishti: Deep Learning for Manufacturing with Krish Chaudhury (Repeat) 53:14

21d ago53:14

53:14

Originally published April 17, 2019 Drishti is a company focused on improving manufacturing workflows using computer vision. A manufacturing environment consists of assembly lines. A line is composed of sequential stations along that manufacturing line. At each station on the assembly line, a worker performs an operation on the item that is being m…

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Machine Learning – Software Engineering Daily

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Niantic Real World with Paul Franceus (Repeat) 51:56

27d ago51:56

51:56

Originally published June 21, 2019 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. Impr…

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Machine Learning – Software Engineering Daily

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Practical AI with Chris Benson (Repeat) 44:40

1M ago44:40

44:40

Originally published December 9, 2019 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-a…

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Machine Learning – Software Engineering Daily

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Kubeflow: TensorFlow on Kubernetes with David Aronchick (Repeat) 55:40

1M ago55:40

55:40

Originally published January 25, 2019 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…

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Machine Learning – Software Engineering Daily

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Hedge Fund Artificial Intelligence with Xander Dunn (Repeat) 53:27

1M ago53:27

53:27

Originally published April 3, 2017 A hedge fund is a collection of investors that make bets on the future. The “hedge” refers to the fact that the investors often try to diversify their strategies so that the direction of their bets are less correlated, and they can be successful in a variety of future scenarios. Engineering-focused hedge funds hav…

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Machine Learning – Software Engineering Daily

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Rosebud: Artificially Generated Media with Dzmitry Pletnikau 48:26

2M ago48:26

48:26

For several years, we have had the ability to create artificially generated text articles. More recently, audio and video synthesis have been feasible for artificial intelligence. Rosebud is a company that creates animated virtual characters that can speak. Users can generate real or fictional presenters easily with Rosebud. Dzmitry Pletnikau is an…

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Machine Learning – Software Engineering Daily

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Computer Architecture with Dave Patterson Holiday Repeat 51:15

2M ago51:15

51:15

Originally published November 7, 2018 An 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 …

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Machine Learning – Software Engineering Daily

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Cruise: Self-Driving Engineering with Mo Elshenawy Holiday Repeat 48:58

2M ago48:58

48:58

October 1, 2019 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 do…

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Machine Learning – Software Engineering Daily

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Model Deployment and Serving with Chaoyu Yang 38:29

3M ago38:29

38:29

Newer machine learning tooling is often focused on streamlining the workflows and developer experience. One such tool is BentoML. BentoML is a workflow that allows data scientists and developers to ship models more effectively. Chaoyu Yang is the creator of BentoML and he joins the show to talk about why he created Bento and the engineering behind …

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Machine Learning – Software Engineering Daily

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Humanloop: NLP Model Engineering with Raza Habib 45:01

3M ago45:01

45:01

Data labeling is a major bottleneck in training and deploying machine learning and especially NLP. But new tools for training models with humans in the loop can drastically reduce how much data is required. Humanloop is a platform for annotating text and training NLP models with much less labelled data. Raza Habib, founder of Humanloop, joins the s…

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Machine Learning – Software Engineering Daily

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Federated Learning with Mike Lee Williams 51:58

3M ago51:58

51:58

Federated learning is machine learning without a centralized data source. Federated Learning enables mobile phones or edge servers to collaboratively learn a shared prediction model while keeping all the training data on device. Mike Lee Williams is an expert in federated learning, and he joins the show to give an overview of the subject and share …

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Machine Learning – Software Engineering Daily

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Labelbox: Data Labeling Platform 47:21

3M ago47:21

47:21

Machine learning models require training data, and training data needs to be labeled. Raw images and text can be labeled using a training data platform like Labelbox. Labelbox is a system of labeling tools that enables a human workforce to create data that is ready to be consumed by machine learning training algorithms. The Labelbox team joins the …

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Machine Learning – Software Engineering Daily

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Roboflow: Computer Vision Models with Brad Dwyer 48:39

3M ago48:39

48:39

Training a computer vision model is not easy. Bottlenecks in the development process make it even harder. Ad hoc code, inconsistent data sets, and other workflow issues hamper the ability to streamline models. Roboflow is a company built to simplify and streamline these model training workflows. Brad Dwyer is a founder of Roboflow and joins the sho…

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Machine Learning – Software Engineering Daily

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Aquarium: Dataset Quality Improvement with Peter Gao 58:00

4M ago58:00

58:00

Machine learning models are only as good as the datasets they’re trained on. Aquarium is a system that helps machine learning teams make better models by improving their dataset quality. Model improvement is often made by curating high quality datasets, and Aquarium helps make that a reality. Peter Gao works on Aquarium, and he joins the show to ta…

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Machine Learning – Software Engineering Daily

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Elementary Robotics with Arye Barnehama 47:17

4M ago47:17

47:17

Factories require quality assurance work. That QA work can be accomplished by a robot with a camera together with computer vision. This allows for sophisticated inspection techniques that do not require as much manual effort on the part of a human. Arye Barnehama is a founder of Elementary Robotics, a company that makes these kinds of robots. Arye …

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Machine Learning – Software Engineering Daily

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Robotic Process Automation with Antti Karjalainen 42:37

5M ago42:37

42:37

Robotic process automation involves the scripting and automation of highly repeatable tasks. RPA tools such as UIPath paved the way for a newer wave of automation, including the Robot Framework, an open source system for RPA. Antti Karjalainen is the CEO of Robocorp, a company that provides an RPA tool suite for developers. Antti joins the show to …

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Machine Learning – Software Engineering Daily

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Hyperparameter Tuning with Richard Liaw 53:33

5M ago53:33

53:33

Hyperparameters define the strategy for exploring a space in which a machine learning model is being developed. Whereas the parameters of a machine learning model are the actual data coming into a system, the hyperparameters define how those data points are fed into the training process for building a model to be used by an end consumer. A differen…

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Machine Learning – Software Engineering Daily

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Machine Learning Labeling and Tooling with Lukas Biewald 47:11

5M ago47:11

47:11

CrowdFlower was a company started in 2007 by Lukas Biewald, an entrepreneur and computer scientist. CrowdFlower solved some of the data labeling problems that were not being solved by Amazon Mechanical Turk. A decade after starting CrowdFlower, the company was sold for several hundred million dollars. Today, data labeling has only grown in volume a…

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Machine Learning – Software Engineering Daily

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ParlAI: Facebook Dialogue Platform with Stephen Roller 50:37

5M ago50:37

50:37

Chatbots are useful for developing well-defined applications such as first-contact customer support, sales, and troubleshooting. But the potential for chatbots is so much greater. Over the last five years, there have been numerous platforms that have arisen to allow for better, more streamlined chatbot creation. Dialogue software enables the creati…

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Machine Learning – Software Engineering Daily

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SuperAnnotate: Image Annotation Platform with Vahan and Tigran Petrosyan 54:55

5M ago54:55

54:55

Image annotation is necessary for building supervised learning models for computer vision. An image annotation platform streamlines the annotation of these images. Well-known annotation platforms include Scale AI, Amazon Mechanical Turk, and Crowdflower. There are also large consulting-like companies that will annotate images in bulk for you. If yo…

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Machine Learning – Software Engineering Daily

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Drug Simulations with Bryan Vicknair and Jason Walsh 53:18

6M ago53:18

53:18

Drug trials can lead to new therapeutics and preventative medications being discovered and placed on the market. Unfortunately, these drug trials typically require animal testing. This means animals are killed or harmed as a result of needing to verify that a drug will not kill humans. Animal testing is unavoidable, but the extent to which testing …

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Machine Learning – Software Engineering Daily

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Metaflow: Netflix Machine Learning Platform with Savin Goyal 52:45

6M ago52:45

52:45

Netflix runs all of its infrastructure on Amazon Web Services. This includes business logic, data infrastructure, and machine learning. By tightly coupling itself to AWS, Netflix has been able to move faster and have strong defaults about engineering decisions. And today, AWS has such an expanse of services that it can be used as a platform to buil…

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Machine Learning – Software Engineering Daily

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Determined AI: Machine Learning Ops with Neil Conway 41:56

6M ago41:56

41:56

Developing machine learning models is not easy. From the perspective of the machine learning researcher, there is the iterative process of tuning hyperparameters and selecting relevant features. From the perspective of the operations engineer, there is a handoff from development to production, and the management of GPU clusters to parallelize model…

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Machine Learning – Software Engineering Daily

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Deepgram: End-to-End Speech Recognition with Scott Stephenson 45:28

7M ago45:28

45:28

Deepgram is an end-to-end deep learning platform for speech recognition. Unlike the general purpose APIs from Google or Amazon, Deepgram models are custom-trained for each customer. Whether the customer is a call center, a podcasting company, or a sales department, Deepgram can work with them to build something specific to their use case. Sound dat…

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Machine Learning – Software Engineering Daily

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Cresta: Speech ML for Calls with Zayd Enam 54:19

7M ago54:19

54:19

At a customer service center, thousands of hours of audio are generated. This audio provides a wealth of information to transcribe and analyze. With the additional data of the most successful customer service representatives, machine learning models can be trained to identify which speech patterns are associated with a successful worker. By identif…

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Machine Learning – Software Engineering Daily

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Traces: Video Recognition with Veronica Yurchuk and Kostyantyn Shysh (Summer Break Repeat) 1:02:15

7M ago1:02:15

1:02:15

Originally published October 8, 2019. We are taking a few weeks off. We’ll be back soon with new episodes. 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 …

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Machine Learning – Software Engineering Daily

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Stripe Machine Learning Infrastructure with Rob Story and Kelley Rivoire (Summer Break Repeat) 1:04:38

7M ago1:04:38

1:04:38

Originally published June 13, 2019. We are taking a few weeks off. We’ll be back soon with new episodes. 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 …

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Machine Learning – Software Engineering Daily

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Architects of Intelligence with Martin Ford (Summer Break Repeat) 58:41

7M ago58:41

58:41

Originally published January 31, 2019. We are taking a few weeks off. We’ll be back soon with new episodes. 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 …

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Machine Learning – Software Engineering Daily

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Cruise Simulation with Tom Boyd 53:18

7M ago53:18

53:18

Cruise is an autonomous car company with a development cycle that is highly dependent on testing its cars–both in the wild and in simulation. The testing cycle typically requires cars to drive around gathering data, and that data to subsequently be integrated into a simulated system called Matrix. With COVID-19, the ability to run tests in the wild…

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Machine Learning – Software Engineering Daily

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Tecton: Machine Learning Platform from Uber with Kevin Stumpf 53:12

8M ago53:12

53:12

Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is developing a model is often working with different tools, or a smaller data set, or different hardware than the environment which that model will be deployed to. This pro…

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Machine Learning – Software Engineering Daily

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Edge Machine Learning with Zach Shelby 1:03:01

8M ago1:03:01

1:03:01

Devices on the edge are becoming more useful with improvements in the machine learning ecosystem. TensorFlow Lite allows machine learning models to run on microcontrollers and other devices with only kilobytes of memory. Microcontrollers are very low-cost, tiny computational devices. They are cheap, and they are everywhere. The low-energy embedded …

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Machine Learning – Software Engineering Daily

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Rasa: Conversational AI with Tom Bocklisch 59:57

9M ago59:57

59:57

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 frameworks were la…

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Machine Learning – Software Engineering Daily

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Snorkel: Training Dataset Management with Braden Hancock 58:26

9M ago58:26

58:26

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 training process. Snorkel is …

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Machine Learning – Software Engineering Daily

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Descript with Andrew Mason 50:24

10M ago50:24

50:24

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 editin…

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Machine Learning – Software Engineering Daily

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Anyscale with Ion Stoica 56:51

11M ago56:51

56:51

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 m…

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Machine Learning – Software Engineering Daily

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Practical AI with Chris Benson 51:12

1y ago51:12

51:12

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 ab…

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Machine Learning – Software Engineering Daily

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Future of Computing with John Hennessy Holiday Repeat 1:01:42

1y ago1:01:42

1:01:42

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 amount of space with a highly pred…

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Machine Learning – Software Engineering Daily

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Incident Response Machine Learning with Chris Riley 55:01

1y ago55:01

55:01

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 millions of dollars in losses and require…

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Machine Learning – Software Engineering Daily

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Traces: Video Recognition with Veronica Yurchuk and Kostyantyn Shysh 1:06:34

1+ y ago1:06:34

1:06:34

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 surveillance c…

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Machine Learning – Software Engineering Daily

1
Cruise: Self-Driving Engineering with Mo Elshenawy 48:54

1+ y ago48:54

48:54

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 Franc…

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Machine Learning – Software Engineering Daily

1
People.ai: Machine Learning for Sales with Andrey Akselrod 51:31

1+ y ago51:31

51:31

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 organization. The sales lifecy…

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Machine Learning – Software Engineering Daily

1
WebAssembly on IoT with Jonathan Beri 56:15

1+ y ago56:15

56:15

“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 cons…

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Machine Learning – Software Engineering Daily

1
Afresh: Grocery Store Software with Volodymyr Kuleshov 50:45

1+ y ago50:45

50:45

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 food from a central distribution system. Managing food inventory is not…

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Machine Learning – Software Engineering Daily

1
Niantic Real World with Paul Franceus 58:19

1+ y ago58:19

58:19

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 technology makes it pos…

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Machine Learning – Software Engineering Daily

1
Stripe Machine Learning Infrastructure with Rob Story and Kelley Rivoire 1:11:01

1+ y ago1:11:01

1:11:01

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 enginee…

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Machine Learning – Software Engineering Daily

1
Augmented Reality Gaming with Tony Godar 52:48

1+ y ago52:48

52:48

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…

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Machine Learning – Software Engineering Daily

1
Drishti: Deep Learning for Manufacturing with Krish Chaudhury 59:04

2y ago59:04

59:04

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…

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Machine Learning – Software Engineering Daily

1
Protein Structure Deep Learning with Mohammed Al Quraishi 1:00:39

2y ago1:00:39

1:00:39

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…

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