Machine Learning 공개
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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 ...
 
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 ...
 
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 ...
 
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.
 
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 ...
 
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 is the audio podcast for the ML Street Talk YouTube channel at https://www.youtube.com/c/MachineLearningStreetTalk Thanks for checking us out! We think that scientists and engineers are the heroes of our generation. Each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporate- and MBA-speak is banned on street talk, "data product", "digital transformation" a ...
 
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.
 
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 ...
 
The Growth Machine Marketing Podcast is your go-to resource for learning how to grow your business through Content Marketing, Search Engine Optimization, Advertising, Social Media, Email Marketing, and more. Each week, your host Amanda Natividad will share lessons from the Growth Machine team, a 7-figure marketing agency, or lessons that guests have learned through growing their own businesses. Whether you're an experienced marketer looking for new techniques to try, or a complete newcomer t ...
 
Decideo est la communauté d’information et d’échange autour des outils et meilleures pratiques d’analyse de données (Machine Learning, Business Intelligence, Big Data, Science des Données, Entrepôts de données…). Véritable réseau social des professionnels de la donnée, Decideo est disponible en français www.decideo.fr et en espagnol www.decideo.com. Opinions d’experts, actualités, agenda, offres d’emploi, sont disponibles en ligne et sur les applications mobiles gratuites. Decideo is the lea ...
 
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show series
 
Pieter Vorster is the GM CSR & Chief Data Analytics Officer at Commonwealth Bank, one of the largest companies in Australia. He is an internationally recognized leader in the data analytics space with over 20 years of experience in industries like retail, wealth, corporate and investment banking, financial services, insurance, etc. In this episode,…
 
To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join …
 
Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. In our conversation with Roberto, we explore his paper Probabilistic Numeric Convolutional Neural Networks, which represents features as Gaussian processes, providing a probabilistic description of discretization error. We discuss some of the other wo…
 
Natural Language Processing (NLP) is a branch of artificial intelligence concerned with giving computers the ability to understand text and spoken words. “Understanding” includes intent, sentiment, and what’s important in the message. NLP powers things like voice-operated software, digital assistants, customer service chat bots, and many other acad…
 
Nasrin is the co-founder of a deep-tech startup Verneek and has been in the space of AI startups for the past 5 years now. Before that, she was a senior research scientist at Elemental Cognition & BenevolentAI, and prior to which she graduated with a Ph.D. from the University of Rochester and her major research interests are in building intelligent…
 
Performing reliably on unseen or shifting data distributions is a difficult challenge for modern vision systems, even slight corruptions or transformations of images are enough to slash the accuracy of state-of-the-art classifiers. When an adversary is allowed to modify an input image directly, models can be manipulated into predicting anything eve…
 
Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine learning. ---Polly Fordyce is an Assistant Professor of Genetics and Bioengineering and fellow of the ChEM-H Institute at Stanford. She is the Principal Investigator of The Fordyce Lab, which focuses …
 
В этом выпуске Анатолий Карпов ex-аналитик ВКонтакте, mail.ru, сооснователь karpov.courses дает очень ценные советы для тех, кто хочет связать свою жизнь с аналитикой. Анатолий рассказывает про свой опыт и делится своим видением как сделать так, чтобы на собеседовании вас точно выделили из общей массы претендентов на позиции аналитиков. Поговорили …
 
Alex Watson is the co-founder and CEO of Gretel.ai, a startup that offers APIs for creating anonymized and synthetic datasets. Previously he was the founder of Harvest.ai, whose product Macie, an analytics platform protecting against data breaches, was acquired by AWS. Learn more about Alex and Gretel AI: http://gretel.ai Every Thursday I send out …
 
Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called DeText, a framework for generating models for ranking classification and language generation. We explore the m…
 
Here’s a milestone for the Growth Machine team: our first unblinded case study! Ben Siegel, CEO and co-founder of Scholars, joined us in a webinar where he talks about Scholars’s content and marketing strategy. We edited this webinar into this week’s 25-minute episode. Enjoy! Show Notes 1:21 - Ben Siegel, CEO and Co-Founder of Scholars, talks about…
 
The digital transformation of the retail industry has been going on for years. It has increased speed, efficiency, and accuracy across every branch of retail business, thanks in large part to advanced data and predictive analytics systems that are helping companies make data-driven business decisions. None of those insights would be possible withou…
 
Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate …
 
Today we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the Build a Career in Data Science Podcast. You might remember Jacqueline from our Advancing Your Data Science Career During the Pandemic panel, where she shared her experience trying to navigate the suddenly hectic data science job market. Now, a year remo…
 
Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate …
 
Impulse purchases are just a story we tell ourselves. Stewart Hillhouse, Head of Growth at Customer Camp, joins the show to tell us why. He explains: it’s actually a series of experiences that ultimately trigger customers to purchase. And in the end, “impulse purchase” is the excuse given in the event a purchase doesn’t work out. Stew and I also di…
 
How to deal and Interpret failures in research? Developing guts for which research will work out and which will not over course of time, from being a researcher in academia as a Ph.D. student to now being a research scientist at Facebook. Check out the whole podcast here: https://youtu.be/Pb5RQAEtznk Ishan is a Research Scientist at @Facebook AI. M…
 
Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation. Discuss on Changelog News Join Changelog++ to support our work, get closer to the metal, and make the ads disappear! Sponsors O'Reilly Media – Learn by …
 
As few as 15% of data scientists today are women. And that lack of diversity is a serious issue. AI algorithms are susceptible to bias, so building them requires a team that includes a wide range of views and experiences. What’s preventing more women from joining the field? In this week’s podcast episode, Felipe will be speaking with Fiona Milne, H…
 
Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. In our conversation with Mark, we explore his work building AI storytelling systems, mainly those that try and predict what listeners think will happen next in a story and how he brings together many different threads of ML/AI together to solve the…
 
Adrien Gaidon shares his approach to building teams and taking state-of-the-art research from conception to production at Toyota Research Institute.---Adrien Gaidon is the Head of Machine Learning Research at the Toyota Research Institute (TRI). His research focuses on scaling up ML for robot autonomy, spanning Scene and Behavior Understanding, Sim…
 
Today we’re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College. In our conversation with Jamie, we explore his work at the intersection of cognitive systems and natural language understanding, and how to use AI as a vehicle for better understanding human intelligence. We discuss the tie that binds…
 
If you work in content marketing, you know John Bonini. He’s the Director of Marketing at Databox, and he also owns the widely popular Some Good Content Patreon, where he distills expert yet tactical advice for content marketers at ever level. He joined us on the show to discuss: How journalism informs good marketing Brand content that has a point …
 
In this week’s episode, Felipe will be speaking with Simon Herbert, NSW Customer Service Department’s Chief Data Officer. Simon has worked for the NSW Data Analytics Centre for over three years. He has been instrumental in the transformation of the DAC to an agile culture. He and his team have built an advanced analytics service in the commercial c…
 
Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic. Discuss on Changelog News Join Changelog++ to support our work, get clo…
 
Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with Pieter, we cover a ton of ground, starting with the specific goals and tasks of his work at Covariant, the shift in needs for industrial AI application …
 
In today's show we are joined by Francois Chollet, I have been inspired by Francois ever since I read his Deep Learning with Python book and started using the Keras library which he invented many, many years ago. Francois has a clarity of thought that I've never seen in any other human being! He has extremely interesting views on intelligence as ge…
 
Today we’re joined by Abhishek Thakur, a machine learning engineer at Hugging Face, and the world’s first Quadruple Kaggle Grandmaster! In our conversation with Abhishek, we explore his Kaggle journey, including how his approach to competitions has evolved over time, what resources he used to prepare for his transition to a full-time practitioner, …
 
A look at how Nimrod and the team at Nanit are building smart baby monitor systems, from data collection to model deployment and production monitoring.---Nimrod Shabtay is a Senior Computer Vision Algorithm Developer at Nanit, a New York-based company that's developing better baby monitoring devices. Connect with Nimrod:LinkedIn: https://www.linked…
 
В очередном выпуске беседа с Ольгой Перепелкиной Deep Learning Product Manager компании Intel. Для того, чтобы машинное обучение было эффективным - ему нужны данные и чем больше, тем лучше. Но чем быстрее развивается искусственный интеллект, тем жестче становятся законы о защите персональных данных. Проблема? Да, проблема. Но где есть проблема, там…
 
Today we have Apple’s Senior Data Scientist, Farhan Baluch as we deep dive into Data Analytics. Farhan has over 10 years of combined academic and industrial experience in machine learning. He likes to combine strategy with tactics and enjoy operating both at the micro and macro levels of data science efforts. As a neuroscientist, he worked on data …
 
Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode f…
 
Today we’re joined by Saqib Shaikh, a Software Engineer at Microsoft, and the lead for the Seeing AI Project. In our conversation with Saqib, we explore the Seeing AI app, an app “that narrates the world around you.” We discuss the various technologies and use cases for the app, and how it has evolved since the inception of the project, how the tec…
 
Ishan is a Research Scientist at Facebook AI. Much of his recent research work revolves around self-supervised learning is known for this works like including SwAV and PIRL. He completed his Ph.D. from CMU with Martial Hebert and Abhinav Gupta. and his thesis was titled “Visual Learning with Minimal Human Supervision” Ishan's homepage: http://imisr…
 
Today we’re joined by Jelani Nelson, a professor in the Theory Group at UC Berkeley. In our conversation with Jelani, we explore his research in computational theory, where he focuses on building streaming and sketching algorithms, random projections, and dimensionality reduction. We discuss how Jelani thinks about the balance between the innovatio…
 
Chris shares some of the incredible work and innovations behind deep space exploration at NASA JPL and reflects on the past, present, and future of machine learning.---Chris Mattman is the Chief Technology and Innovation Officer at NASA Jet Propulsion Laboratory, where he focuses on organizational innovation through technology. He's worked on space…
 
One of the questions we hear most is: How do you hire and manage content services when you yourself are not a content marketer or an editor? Our very own VP of Content, Heather Leith, joins us today to answer that question. Heather manages our team of editors who publish over 100 articles per month for Growth Machine’s clients. We chat about: A sca…
 
Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time! Discuss on Changelo…
 
We are joined by José Murillo, Chief Analytics Officer at Grupo Financiero Banorte, Mexico's second largest financial group and also the most profitable one pre-pandemic. José had a long tenure at Mexico’s Central Bank, where he worked at the research department. Around 7 years ago, he joined Banorte and established the Analytics Business Unit. His…
 
Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear understanding of the various ML models and algorithms. You need to develop the right ML model for your data, train the model, evaluate it, optimize it, analyze it for out…
 
Today we’re joined by Stevie Chancellor, an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. In our conversation with Stevie, we explore her work at the intersection of human-centered computing, machine learning, and high-risk mental illness behaviors. We discuss how her background in HCC hel…
 
Dr. Christian Szegedy from Google Research is a deep learning heavyweight. He invented adversarial examples, one of the first object detection algorithms, the inceptionnet architecture, and co-invented batchnorm. He thinks that if you bet on computers and software in 1990 you would have been as right as if you bet on AI now. But he thinks that we h…
 
Linda is Product Lead at FAIRE and has in the past interned at Snap Inc., Microsft, BAIN, and graduate from Harvard University. She has a tremendous amount of experience in Product Management and openly shares her insights through newsletters here https://www.productlessons.xyz/ for people to get started with it. You can reach out to her and follow…
 
In this episode, we’re joined by Dataiku’s Director of Data Science, Conor Jensen. In our conversation, we explore the panel he lead at TWIMLcon “AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise,” discussing the ML journey of each panelist’s company, and where Dataiku fits in the equation. The complete show notes for this…
 
In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state of the AI market. The complete show notes for this episode can be found at twimlai.com/go/470.…
 
From legged locomotion to autonomous driving, Vladlen explains how simulation and abstraction help us understand embodied intelligence.---Vladlen Koltun is the Chief Scientist for Intelligent Systems at Intel, where he leads an international lab of researchers working in machine learning, robotics, computer vision, computational science, and relate…
 
Aarti is a machine learning engineer at Snorkel AI. Prior to that, she worked closely with Andrew Ng in various capacities - at AI Fund helping build ML companies from scratch internally, as well as investing in ML companies, as a machine learning engineer at his startup Landing AI, as head TA for his deep learning class at Stanford University (CS2…
 
As soon as I began following SEO expert Kameron Jenkins’ work, it was clear to me how friendly and accessible she makes SEO to everyone at all levels. So I was super excited to have her on the show. Kameron is now a content lead at Shopify and we got to talk about: Communicating the value of SEO to the c-suite Balancing a content strategy across sh…
 
Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ epi…
 
Radek Osmulski is a fully self-taught machine learning engineer. After getting tired of his corporate job, he taught himself programming and started a new career as a Ruby on Rails developer. He then set out to learn machine learning. Since then, he's been a Fast AI International Fellow, become a Kaggle Master, and is now an AI Data Engineer on the…
 
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