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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 ...
 
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.
 
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 ...
 
Der Podcast für Young Professionals, die wissen möchten was hinter KI, Machine Learning und Data Science steckt und wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt und Algorithmen der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!
 
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.
 
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 ...
 
Welcome to the machine learning podcast where we discuss the future of artificial intelligence and our role in the birth of sentient computers. What will change, what we can expect and how to stay ahead of the curve as well as working along side our digital brothers.
 
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
 
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.
 
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 ...
 
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 ...
 
This is Learning Machine. A podcast about digital marketing, content, strategy, startups, and business. If you like Mixergy, Entrepreneur on Fire, Tropical MBA, Rocketship.fm, SaaStr, Tim Ferriss show, or Startups for the Rest of Us, you will love Content and Coffee.
 
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Learning Machines 101

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Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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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 ...
 
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Today we’re joined by Bratin Saha, vice president and general manager at Amazon. In our conversation with Bratin, we discuss quite a few of the recent ML-focused announcements coming out of last weeks re:Invent conference, including new products like Canvas and Studio Lab, as well as upgrades to existing services like Ground Truth Plus. We explore …
 
В выпуске с Бобуком (Григорием Бакуновым) общаемся на темы этики искусственного интеллекта. Мешает или помогает этика и мораль современному обществу, нужна ли этика искусственному интеллекту, кто лучше справится с этическими вопросами - средний европеец или ИИ, как ИИ будет решать столкнуть ли толстяка с моста, где взять датасет, чтобы обучить ИИ р…
 
In this episode, we speak with David R. Rosas, an assistant principal at the Castle Bridge School in Washington Heights in New York City. David recently wrote an article for Chalkbeat titled, I’m an elementary school teacher, and I embrace critical race theory. In our conversation, David touches on the realities of CRT as an academic discipline vs.…
 
Here’s a bonus episode this week from our friends behind Me, Myself, and AI — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast. We hand picked this full-length episode to share with you because of its focus on usin…
 
Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications. They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers. Panel Ben Wilson Charles Max Wood Spons…
 
Human beings are biased by nature. Each of us forms opinions about the world based on the experiences we've had and the backgrounds we come from. As companies step up the use of data in their day-to-day operations, they become increasingly reliant on data systems to help them make critical business decisions but this is still impacted by human bias…
 
Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved. In reality, it’s more like the first lap in a relay race. Deploying ML to production bears many similarities to a typical software release process, but brings several novel challenges like failing to generalize as expected or model drift…
 
KI-basierte Sprachassistenzsysteme gehören für viele Menschen heutzutage zum Alltag. Als Geschäftsführer der KENBUN IT AG arbeitet Michael Eder daran, dass diese Form der KI auch in professionellen Umgebungen gewinnbringend zum Einsatz kommt. Im Gespräch mit Theo spricht er darüber, wie er zu Großentwicklungen wie GPT-3 steht und wie er mit seinen …
 
Today we’re joined by Doug Burdick, a principal research staff member at IBM Research. In a recent interview, Doug’s colleague Yunyao Li joined us to talk through some of the broader enterprise NLP problems she’s working on. One of those problems is making documents machine consumable, especially with the traditionally archival file type, the PDF. …
 
Recently, GitHub released Copilot, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally. Discuss on Changelog News Joi…
 
Today we’re joined by Shayan Mortazavi, a data science manager at Accenture. In our conversation with Shayan, we discuss his talk from the recent SigOpt HPC & AI Summit, titled A Novel Framework Predictive Maintenance Using Dl and Reliability Engineering. In the talk, Shayan proposes a novel deep learning-based approach for prognosis prediction of …
 
Думаю, для тех, кто следит за индустрией искусственного интеллекта, Валерий Бабушкин в особом представлении не нуждается. Специалист высочайшего класса, за которым охотятся самые крутые технологические компании! И, вот, сегодня Валерий в гостях Machine Learning Podcast. Поговорили о карьерном пути Валерия, о том, как бизнесу внедрять машинное обуче…
 
Dr. Jania Hoover is an educator and teacher coach with over 16 years of classroom experience. As an expert on social studies education, Dr. Hoover discussed with us how teachers can navigate controversial topics in the classroom with their students. In her words, "students will ask you the tough questions" so you should probably prepare to answer t…
 
AI is taking centre stage at conferences and showing potential across a wide variety of industries, including retail and manufacturing. Open up any newspaper or social media feed these days and it’s easy to spot the tidal wave of hype that artificial intelligence (AI) has unleashed. Within this hype lies a lot of opportunities, but without the righ…
 
Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. He has read hundreds of books that have taught him the secrets to getting more done by gettin…
 
Today we’re joined by friend-of-the-show Nasrin Mostafazadeh, co-founder of Verneek. Though Verneek is still in stealth, Nasrin was gracious enough to share a bit about the company, including their goal of enabling anyone to make data-informed decisions without the need for a technical background, through the use of innovative human-machine interfa…
 
In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models s…
 
Today we’re joined by Julie Shah, a professor at the Massachusetts Institute of Technology (MIT). Julie’s work lies at the intersection of aeronautics, astronautics, and robotics, with a specific focus on collaborative and interactive robotics. In our conversation, we explore how robots would achieve the ability to predict what their human collabor…
 
There’s a lot of talk about Critical Race Theory and Education in the media these days, but what’s really going on with CRT in schools? In this episode we spoke with educational policy experts from New America Jazmyne Owens and Elena Silva. As we discuss the current political and cultural landscape that teachers find themselves in, Jazmyne and Elen…
 
В гостях подкаста Анатолий Старостин - руководитель службы развития технологий Яндекс.Музыки и Кинопоиска, а также по совместительству ведущий подкаста Неопознанный Искусственный Интеллект. Поговорили с Анатолием о том в какие виды искусства приходят нейросети и есть ли у них шансы конкурировать с человеком, о сложностях полноценной генерации музык…
 
Today we’re joined by Yunyao Li, a senior research manager at IBM Research. Yunyao is in a somewhat unique position at IBM, addressing the challenges of enterprise NLP in a traditional research environment, while also having customer engagement responsibilities. In our conversation with Yunyao, we explore the challenges associated with productizing…
 
Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning. However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion. Panel Ben Wilson Charles Max Wood Michael …
 
In this day and age, preserving privacy is a fundamental requirement for maintaining the positive reputation of an organisation. There is a balance that we try to strike between sharing personal information and preserving information that is very personal and descriptive of an individual. In this week’s episode, we are joined by Maggie Shi, Head of…
 
Dr. Sergio Lopez-Gehler ist Senior Consultant bei Reply in der Rolle eines Data Scientist & Cloud Architect. Doch was macht diese Rolle eigentlich in seinem Arbeitsalltag aus? Und wie läuft die Zusammenarbeit mit Großkunden wirklich ab? Gemeinsam mit Theo gibt Dr. Sergio Lopez-Gehler einen Einblick in die Welt des Consultings und zeigt unter andere…
 
Today we’re joined by Kim Branson, the SVP and global head of artificial intelligence and machine learning at GSK. We cover a lot of ground in our conversation, starting with a breakdown of GSK’s core pharmaceutical business, and how ML/AI fits into that equation, use cases that appear using genetics data as a data source, including sequential lear…
 
Should teachers be required to study Critical Race Theory as part of their training? At this point, the teaching workforce is still predominantly white and female and does not reflect the diversity of students in classrooms. Preparing teachers to understand the historical and cultural experiences students bring to the classroom is one solution to m…
 
Это специальный выпуск подкаста, поводом к которому послужила выложенная Сбером в открытый доступ русская версия модели для генерации изображений по текстовому описанию (ruDALL-E). В гостях Сергей Марков - управляющий директор, начальник управления экспериментальных систем машинного обучения департамента SberDevices, принимавший самое непосредствен…
 
Today we’re joined by David Ha, a research scientist at Google. In nature, there are many examples of “bottlenecks”, or constraints, that have shaped our development as a species. Building upon this idea, David posits that these same evolutionary bottlenecks could work when training neural network models as well. In our conversation with David, we …
 
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup. Panel Ben Wilson Charles Max Wood Guest Michael Berk Sponsors Dev Influencers Accelerator Level Up | Devchat.tv Links How to Find Weaknesses in you…
 
Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and m…
 
We are joined by Florian Douetteau, a legend in the industry, who built a unicorn company within the data space. He is the CEO of Dataiku, a platform that assists in systemising the use of your data for exceptional business results. Florian is a mathematician by trade, however he found the mathematics world too theoretical for his liking and wanted…
 
Machine learning models must first be trained. That training results in a model which must be serialized or packaged up in some way as a deployment artifact. A popular deployment path is using Tensorflow.js to take advantage of the portability of JavaScript, allowing your model to be run on a web server or client. Gant Laborde is Chief Innovation O…
 
Today we’re joined by Luke Stark, an assistant professor at Western University in London, Ontario. In our conversation with Luke, we explore the existence and use of facial recognition technology, something Luke has been critical of in his work over the past few years, comparing it to plutonium. We discuss Luke’s recent paper, “Physiognomic Artific…
 
Professor Janel George, Director of the Racial Equity in Education Law and Policy Clinic at Georgetown University speaks on the history of Critical Race Theory. In this episode we delve into the recent political outrage over Critical Race Theory in Education and ask the question: If you teach the history of racial inequality are you teaching Critic…
 
(Optional episode) just showcasing a cool application using machine learning Dept uses Descript for some of their podcasting. I'm using it like a maniac, I think they're surprised at how into it I am. Check out the transcript & see how it performed. Descript The Ship It Podcast How to ship software, from the front lines. We talk with software devel…
 
Show notes: ocdevel.com/mlg/mla-17 Developing on AWS first (SageMaker or other) Consider developing against AWS as your local development environment, rather than only your cloud deployment environment. Solutions: Stick to AWS Cloud IDEs (Lambda, SageMaker Studio, Cloud9 Connect to deployed infrastructure via Client VPN Terraform example YouTube tu…
 
Today we’re joined by Francesc Joan Riera, an applied machine learning engineer at The LEGO Group. In our conversation, we explore the ML infrastructure at LEGO, specifically around two use cases, content moderation and user engagement. While content moderation is not a new or novel task, but because their apps and products are marketed towards chi…
 
Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data. Panel Ben Wilson Charles Max Wood Guest Pier Paolo Ippolito Sponsors Dev Influencers Accelerator Level U…
 
Show notes Part 1 of deploying your ML models to the cloud with SageMaker (MLOps) MLOps is deploying your ML models to the cloud. See MadeWithML for an overview of tooling (also generally a great ML educational run-down.) SageMaker DataWrangler Feature Store Ground Truth Clarify Studio AutoPilot Debugger Distributed Training And I forgot to mention…
 
There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed…
 
Dr. Markus Köster verantwortet die Forschung und Entwicklung im Bereich Industrial Analytics bei Weidmüller. Mit „Weidmüller Industrial AutoML“ hat er gemeinsam mit seinem Team eine überdurchschnittlich erfolgreiche Machine Learning Lösung entwickelt. Doch wie funktioniert es, dass Maschinen- und Prozessexperten Machine Learning Modelle benutzen, o…
 
Today we’re joined by Hamel Husain, Staff Machine Learning Engineer at GitHub. Over the last few years, Hamel has had the opportunity to work on some of the most popular open source projects in the ML world, including fast.ai, nbdev, fastpages, and fastcore, just to name a few. In our conversation with Hamel, we discuss his journey into Silicon Val…
 
In Season 2 we are talking about Critical Race Theory, also known as CRT - what it is and why it has become such a politicized hot-button issue. We’re also exploring Culturally Responsive Teaching and equity in education. Just like in Season 1 we reached out to education experts from all walks of life and asked them to share their insights with all…
 
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