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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
 
Making artificial intelligence practical, productive, and 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, etc). 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 k ...
 
Это подкаст о машинном обучении от неспециалиста для неспециалистов. Буду рассказывать о развитии индустрии, проводить ликбез, объяснять терминологию и профессиональные жаргонизмы, общаться с профессионалами из индустрии Искусственного Интеллекта. Я сам не так давно начал погружаться в эту тему и по мере своего развития буду делиться своим пониманием этой интересной и перспективной области знаний. Почта для обратной связи: kms101@yandex.ru Сообщество подкаста в ВК: https://vk.com/mlpodcast Т ...
 
This is the audio podcast for the ML Street Talk YouTube channel at https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ Thanks for checking out Machine Learning Street Talk! Join in our discussion of the most exciting discussions around the latest and greatest in Machine Learning and Artificial Intelligence! This is quite a technical podcast where we interview authors of ML research papers and discuss topics such as AI Ethics and ML DevOps. This channel is managed by Yannic Kilcher (Yan ...
 
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
 
This podcast helps Machine Learning Engineers become the best at what they do. Join host Charlie You every week as he talks to the brightest minds in data science, artificial intelligence, and software engineering to discover how they bring cutting edge research out of the lab and into products that people love. You'll learn the skills, tools, and best practices you can use to build better ML systems and accelerate your career in this flourishing new field.
 
Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 ...
 
En esta serie de Podcast titulado Machine Learning en Español se discutirán temas relacionado a Machine Learning (aprendizaje maquina), Data Science (ciencia de datos), Big Data, Artificial Intelligence (inteligencia artificial), Business Intelligence (inteligencia de negocios) y Deep learning entre otros. Su anfitrión Gustavo Lujan, quien es un Data Scientist trabajando para Intel, compartirá su experiencia y tendencias en este fascinante mundo de Machine Learning.
 
We started Weights and Biases to build tools for Machine Learning practitioners because we care so much about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about building these tools has been the conversations with ML practitioners and learning about the interesting things they're working on. This process has been so fun that we decided to open it up to the world and share what ever ...
 
Machine Learning with Coffee is a podcast where we are going to be sharing ideas about Machine Learning and related areas such as: artificial intelligence, business intelligence, business analytics, data mining and Big data. The objective is to promote a healthy discussion on the current state of this fascinating world of Machine Learning. We will be sharing our experience, sharing tricks, talking about latest developments and interviewing experts, all these on a very laid back, friendly man ...
 
This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
 
Blockchain is complex? Machine Learning is Boring? This show will focus on the ins and outs of Blockchain and Machine Learning. We will also look at innovative ways these new technologies are being applied to solve complex business challenges. BONUS : Interviews with Industry Leaders about Blockchain and ML
 
In this course we will explore the challenges presented when designing AI-powered services. In particular, we will take a look at Machine Learning (such as deep learning and generative adversarial networks), and how that can be used in human-centered design of digital services. This course is created for User Experience (UX) professionals, Service Designers, and Product Managers as a way to help take a human-centered approach to AI in their work. The course is also useful for developers and ...
 
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that wil ...
 
In this podcast, entrepreneur and angel investor Flavio Rump discusses the biggest bottlenecks and the future of drug discovery by speaking with some of the sharpest, most innovative minds in drug discovery, biotechnology and related fields. We talk about machine learning for high-throughput screening, open source drug discovery and other trends that are changing how drug discovery gets done.
 
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We are joined by Alexey Grigorev for an episode that will be very useful for anyone wanting to identify the skills needed to get into the data science world. Alexey works as a lead data scientist at OLX Group, where he deals with content moderation and image models. He is an experienced software engineer with 10 years of experience. In the last 6 y…
 
In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game! Discuss on Changelog News Join Changelog++ to support our work, get closer to the metal, and make the ads disappear! Sponsor…
 
Josh Albrecht is the co-founder and CTO of Generally Intelligent, an independent research lab investigating the fundamentals of learning across humans and machines. Previously, he was the lead data architect at Addepar, CTO of CloudFab, and CTO of Sourceress, which Generally Intelligent is a pivot from. Learn more about Josh: http://joshalbrecht.co…
 
Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft. Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of machine translation like breakthroughs in seq2seq and the emergence of transformer m…
 
Check out the full podcast here: https://youtu.be/t8YCzcWSUrg Akshay is an Assistant Professor at @Stanford University in the Radiology department. He has a strong background in bioengineering with a bachelor's from @UC San Diego and Ph.D. from Stanford followed by a Postdoctoral experience in radiology at Stanford. We discuss more how machine lear…
 
Professor Mark Bishop does not think that computers can be conscious or have phenomenological states of consciousness unless we are willing to accept panpsychism which is idea that mentality is fundamental and ubiquitous in the natural world, or put simply, that your goldfish and everything else for that matter has a mind. Panpsychism postulates th…
 
From teaching at Harvard to co-founding Coursera, insitro, and Engageli, Daphne Koller reflects on the importance of education, giving back, and cross-functional research.Daphne Koller is the founder and CEO of insitro, a company using machine learning to rethink drug discovery and development. She is a MacArthur Fellowship recipient, member of the…
 
The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such “state-of-the-art” results for machine learning performance rely on the use of handwritten, idiosyncratic optimizations for specific hardware models or operating contexts. When developers ar…
 
Сегодня в гостях Татьяна Шаврина - тимлид команды AGI NLP, главный эксперт по технологиям, SberDevices, аспирант НИУ ВШЭ и просто очень приятный и интересный собеседник. Обсудили то, как с течением времени менялись подходы к обработке естественного языка, какие оказались революционными для области, а какие были частью закономерного развития. Word2v…
 
Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge graph use cases and how ML comes …
 
We have Matthew Dixon, Assistant Professor of Applied Math at the Illinois Institute of Technology and author of the textbook, Machine Learning in Finance: From Theory to Practice. He has also written several journal papers on algorithms and models for machine learning, blockchain based technologies with applications in fintech. Quotes: "Do you wan…
 
Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for…
 
Elena Samuylova and Emeli Dral are the co-founders of Evidently AI, where they build open source tools to analyze and monitor machine learning models. Elena was previously the head of the startup ecosystem at Yandex, director of business development at their data factory and chief product officer at Mechanica AI. Emeli was previously a data scienti…
 
Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking about ethical and fairness issues in models and algorithms. We also explore Wiggum: a fairness…
 
Today we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation. In our conversation with Andrew, we explore some of the AI use cases at the foundation, with the goal of bringing “community-based” healthcare to underserved populations in the global south. We focus on COVID-19 response and i…
 
Piero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works and the future of machine learning with no code.Piero is a Staff Research Scientist in the Hazy Research group at Stanford University. He is a former founding member of Uber AI, where he created Ludwig, worked on applied projects (COTA, Graph Learning …
 
Today we have professor Pedro Domingos and we are going to talk about activism in machine learning, cancel culture, AI ethics and kernels. In Pedro's book the master algorithm, he segmented the AI community into 5 distinct tribes with 5 unique identities (and before you ask, no the irony of an anti-identitarian doing do was not lost on us!). Pedro …
 
Merve Hickok, Founder of AIEthicist.org, joins us today to share her knowledge on AI Ethics. She is an independent consultant, lecturer and speaker on AI ethics and bias and its implications on individuals & society. She creates awareness, builds capacity and advocates for ethical and responsible AI while also collaborating with several national an…
 
Harikrishna Narayanan is the co-founder of a YC-backed stealth startup. He was previously a Principal Engineer at Yahoo, a Director in Workday's Machine Learning organization, and holds an M.S. from Georgia Tech. Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here:…
 
Akshay is an Assistant Professor at Stanford University in the Radiology department. He has a strong background in bioengineering with a bachelor's from UC San Diego and Ph.D. from Stanford followed by a Postdoctoral experience in radiology at Stanford. We discuss more how machine learning is leveraged for faster medical image acquisition and post-…
 
Today we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo. In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, including how AV has improved in the last few years, their focus on level 4 driving, and Drago’s thoughts on the direction of the industry going forward. Drago …
 
Learn more about what product management really is and the skills required for the role with Renee Yao, who leads global healthcare AI startups at @NIVIDIA, managing 1000+ healthcare startups. Prior to that, she worked as a senior PM and product marketing manager for AI Systems at NVIDIA. She graduated from Haas School of Business at @UCBerkley wit…
 
How Rosanne is working to democratize AI research and improve diversity and fairness in the field through starting a non-profit after being a founding member of Uber AI Labs, doing lots of amazing research, and publishing papers at top conferences.Rosanne is a machine learning researcher, and co-founder of ML Collective, a nonprofit organization fo…
 
Today we’re joined by Ya Xu, head of Data Science at LinkedIn, and TWIMLcon: AI Platforms 2021 Keynote Speaker. We cover a ton of ground with Ya, starting with her experiences prior to becoming Head of DS, as one of the architects of the LinkedIn Platform. We discuss her “three phases” (building, adoption, and maturation) to keep in mind when build…
 
Dr. Simon Stringer. Obtained his Ph.D in mathematical state space control theory and has been a Senior Research Fellow at Oxford University for over 27 years. Simon is the director of the the Oxford Centre for Theoretical Neuroscience and Artificial Intelligence, which is based within the Oxford University Department of Experimental Psychology. His…
 
We are joined by Michelle Perugini, she is the co-founder and CEO of Presagen and Life Whisperer. In 2017, she had the opportunity to combine her passion for healthcare and technology and started Presagen, an amazing company that's doing things that actually change people's lives. Presagen is both a platform and product company. They have a really …
 
John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts. Discuss on Changelog Ne…
 
Learn more about the ML Ops Community: https://mlops.community/ Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/listen C…
 
Today we’re joined by Jesse Engel, Staff Research Scientist at Google, working on the Magenta Project. In our conversation with Jesse, we explore the current landscape of creativity AI, and the role Magenta plays in helping express creativity through ML and deep learning. We dig deep into their Differentiable Digital Signal Processing (DDSP) librar…
 
Azalia is a Research scientist at the Google Brain team, where she leads machine learning for systems moonshot projects. Her research interests include and not limited to exploring deep reinforcement learning for optimizing computer systems. She has a Ph.D. in Electrical and Computer Engineering from Rice University and has received many awards for…
 
Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. there's good reason to believe neural networks look at very different features than we would have expected. As articulated in the 2019 "features not bugs" paper Adversarial examples can be directly att…
 
Embedded Software Engineering is the practice of building software that controls embedded systems- that is, machines or devices other than standard computers. Embedded systems appear in a variety of applications, from small microcontrollers, to consumer electronics, to large-scale machines such as cars, airplanes, and machine tools. iRobot is a con…
 
Today we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In this conversation, Francisco gives us an update on Cortical, including their applications a…
 
In this episode of Gradient Dissent, Primer CEO Sean Gourley and Lukas Biewald sit down to talk about NLP, working with vast amounts of information, and how crucially it relates to national defense. They also chat about their experience of being second-time founders coming from a data science background and how it affects the way they run their com…
 
Reinforcement learning is a paradigm in machine learning that uses incentives- or “reinforcement”- to drive learning. The learner is conceptualized as an intelligent agent working within a system of rewards and penalties in order to solve a novel problem. The agent is designed to maximize rewards while pursuing a solution by trial-and-error. Progra…
 
In this episode we talk to Tyler Folkman, Head of Artificial Intelligence at Branded Entertainment Network. Tyler joined Branded Entertainment Network almost two years ago and ever since has been working on how to leverage AI and data in the world of entertainment, specifically product placement. Their work is similar to that of a recommendation al…
 
Sara Hooker on getting started with learning machine learning, best resources and learning to implement models from scratch. Watch the full episode with Sara here: https://youtu.be/MHtbZls2uts Sara is a research scholar at the @Google-Brain team working on building interpretable machine learning models for reliability and robustness. We talk about …
 
Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode! Discuss on Changelog News Join Changelog++ to support our work, get closer to the metal, and make the ads disappear!…
 
Today we’re joined by Gurdeep Pall, Corporate Vice President at Microsoft. Gurdeep, who we had the pleasure of speaking with on his 31st anniversary at the company, has had a hand in creating quite a few influential projects, including Skype for business (and Teams) and being apart of the first team that shipped wifi as a part of a general-purpose …
 
ena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously, She was a research scientist at Yandex Research and worked closely with the Yandex Translate team. She still teaches NLP at the Yandex School of Data Analysis. She has created an exciting new NLP course on her website lena-voita.github.io which you …
 
Things that I learned apart from research, non-technical traits I did not know you would but I am glad now I did. Full podcast with Geneviève here: https://youtu.be/AA1Co0XBcKg About the Host: Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: https://www.linkedin.co…
 
Победа AlphaGo над чемпионом мира по игре го Ли Седолем в 2016 году стала поистине знаковым событием в мире машинного обучения. Ведь большинство экспертов сходились во мнении, что до победы компьютера над человеком в го еще лет десять. Это первый выпуск, посвященный игре го, в котором я беседую с профессиональным преподавателем го Алексеем Нечаевым…
 
Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational laye…
 
Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a…
 
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