Practical AI: Machine Learning, Data Science
280 episodes - English - Latest episode: 3 days ago - ★★★★★ - 37 ratingsMaking artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Homepage Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Episodes
How Microsoft is using AI to help the Earth
February 04, 2019 18:06 - 44 minutes - 61.4 MBChris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!
New year’s resolution: dive into deep learning!
January 28, 2019 12:00 - 35 minutes - 48.9 MBFully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help...
IBM's AI for detecting neurological state
January 21, 2019 12:00 - 41 minutes - 57.3 MBAjay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.
2018 in review and bold predictions for 2019
January 14, 2019 12:00 - 42 minutes - 58.2 MBFully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.
Finding success with AI in the enterprise
December 17, 2018 12:00 - 40 minutes - 55.9 MBSusan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss The AI Maturity Playbook: Five Pillars of Enterprise Success. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own organizations - addressing everything from strategy and product development, to culture and ethics.
So you have an AI model, now what?
December 10, 2018 12:00 - 39 minutes - 54.8 MBFully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently a...
Pachyderm's Kubernetes-based infrastructure for AI
December 03, 2018 15:59 - 41 minutes - 57.2 MBJoe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline.
BERT: one NLP model to rule them all
November 27, 2018 16:11 - 38 minutes - 53.4 MBFully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources.
UBER and Intel’s Machine Learning platforms
November 19, 2018 12:00 - 28 minutes - 39.6 MBWe recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures. In our discussion with Mike, we talked about the ins and outs of Michelangelo, ...
Analyzing AI's impact on society through art and film
November 12, 2018 12:00 - 44 minutes - 60.5 MBBrett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda.
Getting into data science and AI
November 05, 2018 17:33 - 30 minutes - 41.5 MBHimani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&T and telecom in general.
AIs that look human and create portraits of humans
October 31, 2018 17:43 - 34 minutes - 47.9 MBIn this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.
Fighting bias in AI (and in hiring)
October 22, 2018 11:00 - 41 minutes - 56.4 MBLindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data.
PyTorch 1.0 vs TensorFlow 2.0
October 15, 2018 17:00 - 44 minutes - 60.9 MBChris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.
Artificial intelligence at NVIDIA
October 08, 2018 11:00 - 44 minutes - 61.5 MBNVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.
OpenAI, reinforcement learning, robots, safety
October 01, 2018 15:30 - 33 minutes - 45.5 MBWe met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.
Answering recent AI questions from Quora
September 18, 2018 15:09 - 48 minutes - 67.2 MBAn amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.
AI in healthcare, synthesizing dance moves, hardware acceleration
September 03, 2018 11:00 - 20 minutes - 28.8 MBChris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.
Robot Perception and Mask R-CNN
August 27, 2018 11:00 - 46 minutes - 64.2 MBChris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.
Open source tools, AI for Dota, and enterprise ML adoption
August 21, 2018 15:09 - 31 minutes - 43.8 MBThis week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!
Behavioral economics and AI-driven decision making
August 13, 2018 11:00 - 50 minutes - 34.7 MBMike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI.
Eye tracking, Henry Kissinger on AI, Vim
August 06, 2018 19:00 - 28 minutes - 39.9 MBChris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.
Understanding the landscape of AI techniques
July 30, 2018 11:00 - 44 minutes - 30.8 MBJared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.
Government use of facial recognition and AI at Google
July 23, 2018 15:15 - 18 minutes - 12.6 MBIn this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.
Detecting planets with deep learning
July 16, 2018 11:00 - 45 minutes - 31.1 MBAndrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets.
Data management, regulation, the future of AI
July 09, 2018 11:00 - 48 minutes - 33.3 MBMatthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).
Helping African farmers with TensorFlow
July 02, 2018 19:00 - 42 minutes - 58.7 MBAmanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.
Putting AI in a box at MachineBox
July 02, 2018 18:00 - 45 minutes - 31 MBMat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.
Meet your Practical AI hosts
July 02, 2018 17:00 - 35 minutes - 24.4 MBIn this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.
Meet Practical AI hosts Daniel Whitenack and Chris Benson
July 02, 2018 17:00 - 35 minutes - 24.4 MBIn this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.