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

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

Author: Machine Learning Archives - Software Engineering Daily December 28, 2020 Duration: 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 manufactured. This

Dive deep into the conversations shaping the future of artificial intelligence with the Machine Learning Archives-Software Engineering Daily. This curated collection pulls from the broader Software Engineering Daily library, focusing entirely on the intricate world of ML engineering. Each episode features a detailed, technical interview with engineers, researchers, and architects who are building the systems behind today's most advanced AI. You'll hear them break down complex topics like model deployment, data pipeline challenges, and the practical trade-offs involved in taking research from a notebook into production. The discussions are grounded in real-world implementation, moving beyond theoretical concepts to explore the tools, failures, and successes that define the field. For developers and technical leaders looking to understand the nuts and bolts of applied machine learning, this podcast offers a valuable archive of knowledge. It's a direct line to the practitioners who are solving hard problems every day, providing insights you can apply to your own work. Tune in to gain a clearer perspective on how machine learning is integrated into modern software, one detailed conversation at a time.
Author: Language: en-us Episodes: 100

Machine Learning Archives - Software Engineering Daily
Podcast Episodes
Metaflow: Netflix Machine Learning Platform with Savin Goyal [not-audio_url] [/not-audio_url]

Duration: 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 str…
Determined AI: Machine Learning Ops with Neil Conway [not-audio_url] [/not-audio_url]

Duration: 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 t…
Deepgram: End-to-End Speech Recognition with Scott Stephenson [not-audio_url] [/not-audio_url]

Duration: 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,…
Cresta: Speech ML for Calls with Zayd Enam [not-audio_url] [/not-audio_url]

Duration: 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 representat…
Architects of Intelligence with Martin Ford (Summer Break Repeat) [not-audio_url] [/not-audio_url]

Duration: 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. So…
Cruise Simulation with Tom Boyd [not-audio_url] [/not-audio_url]

Duration: 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…
Tecton: Machine Learning Platform from Uber with Kevin Stumpf [not-audio_url] [/not-audio_url]

Duration: 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…
Edge Machine Learning with Zach Shelby [not-audio_url] [/not-audio_url]

Duration: 57:09
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.…