Machine Learning Archives - Software Engineering Daily

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 to express the The post Computer Architecture with Dave Patterson Holiday Repeat appeared first on Software Engineering Daily.

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 The post Cruise: Self-Driving Engineering with Mo Elshenawy Holiday Repeat appeared first on Software Engineering Daily.

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 The post Model Deployment and Serving with Chaoyu Yang appeared first on Software Engineering Daily.

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, The post Humanloop: NLP Model Engineering with Raza Habib appeared first on Software Engineering Daily.

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 The post Federated Learning with Mike Lee Williams appeared first on Software Engineering Daily.

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 The post Labelbox: Data Labeling Platform appeared first on Software Engineering Daily.

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 post Roboflow: Computer Vision Models with Brad Dwyer appeared first on Software Engineering Daily.

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 post Aquarium: Dataset Quality Improvement with Peter Gao appeared first on Software Engineering Daily.

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 The post Elementary Robotics with Arye Barnehama appeared first on Software Engineering Daily.

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 post Robotic Process Automation with Antti Karjalainen appeared first on Software Engineering Daily.

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 The post Hyperparameter Tuning with Richard Liaw appeared first on Software Engineering Daily.

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 and The post Machine Learning Labeling and Tooling with Lukas Biewald appeared first on Software Engineering Daily.

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 creation of sophisticated chatbots. ParlAI is The post ParlAI: Facebook Dialogue Platform with Stephen Roller appeared first on Software Engineering Daily.

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 you have an application that requires lots The post SuperAnnotate: Image Annotation Platform with Vahan and Tigran Petrosyan appeared first on Software Engineering Daily.

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 The post Drug Simulations with Bryan Vicknair and Jason Walsh appeared first on Software Engineering Daily.

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 The post Metaflow: Netflix Machine Learning Platform with Savin Goyal appeared first on Software Engineering Daily.

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 training. In the last The post Determined AI: Machine Learning Ops with Neil Conway appeared first on Software Engineering Daily.

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 data The post Deepgram: End-to-End Speech Recognition with Scott Stephenson appeared first on Software Engineering Daily.

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 identifying these speaking The post Cresta: Speech ML for Calls with Zayd Enam appeared first on Software Engineering Daily.

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 The post Traces: Video Recognition with Veronica Yurchuk and Kostyantyn Shysh (Summer Break Repeat) appeared first on Software Engineering Daily.

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 The post Stripe Machine Learning Infrastructure with Rob Story and Kelley Rivoire (Summer Break Repeat) appeared first on Software Engineering Daily.

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 disagreement on The post Architects of Intelligence with Martin Ford (Summer Break Repeat) appeared first on Software Engineering Daily.

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 The post Cruise Simulation with Tom Boyd appeared first on Software Engineering Daily.

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 The post Tecton: Machine Learning Platform from Uber with Kevin Stumpf appeared first on Software Engineering Daily.

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 systems community and the machine The post Edge Machine Learning with Zach Shelby appeared first on Software Engineering Daily.

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 on Software Engineering Daily.

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 first on Software Engineering Daily.

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 Descript with Andrew Mason appeared first on Software Engineering Daily.

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 appeared first on Software Engineering Daily.

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 Practical AI with Chris Benson appeared first on Software Engineering Daily.

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 Software Engineering Daily.

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 Engineering Daily.

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 Kostyantyn Shysh appeared first on Software Engineering Daily.

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 Elshenawy appeared first on Software Engineering Daily.

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 first on Software Engineering Daily.

“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 with Jonathan Beri appeared first on Software Engineering Daily.

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 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 Engineering Daily.

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 Story and Kelley Rivoire appeared first on Software Engineering Daily.

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 with Tony Godar appeared first on Software Engineering Daily.

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 Learning for Manufacturing with Krish Chaudhury appeared first on Software Engineering Daily.

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 Deep Learning with Mohammed Al Quraishi appeared first on Software Engineering Daily.

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 appeared first on Software Engineering Daily.

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 appeared first on Software Engineering Daily.

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 Engineering Daily.

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 Software Engineering Daily.

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 Intelligence with Martin Ford appeared first on Software Engineering Daily.

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 David Aronchick appeared first on Software Engineering Daily.

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 first on Software Engineering Daily.

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 appeared first on Software Engineering Daily.