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.

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Machine Learning Guide

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, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Machine learning and data science episodes of Software Engineering Daily.

Machine Learning Archives - Software Engineering Daily

Making artificial intelligence practical, productive &amp; 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 &amp; 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!

Practical AI: Machine Learning, Data Science

Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

Machine Learning Street Talk (MLST)

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 years of experience in the space. Every week I speak with top industry leaders from around the world

Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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Adventures in Machine Learning

Machine learning in hindi

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 manner. So, what are you waiting for? Grab a coffee and join us.

Machine Learning with Coffee

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
Телеграм-канал: https://t.me/toBeAnMLspecialist
Я в телеграме: @kmsint

Machine Learning Podcast

This podcast is hosted by Julien Simon, Global Evangelist for AI and Machine Learning at Amazon Web Services. It covers everything you need to know about AI and ML on AWS: new features, demos, conversation and more! The podcast is hosted at https://julsimon.buzzsprout.com, and is also available on YouTube at https://bit.ly/368Iz7g.

AWS AI & Machine Learning Podcast

Splunk [AI/ML, Splunk Machine Learning Toolkit] 2019 .conf Videos w/ Slides

Data

Splunk

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.

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Machine Learning Cafe

This is a course introducing modern techniques of machine learning, especially deep neural networks, to an audience of physicists. Neural networks can be trained to perform diverse challenging tasks, including image recognition and natural language processing, just by training them on many examples. Neural networks have recently achieved spectacular successes, with their performance often surpassing humans. They are now also being considered more and more for applications in physics, ranging from predictions of material properties to analyzing phase transitions. We will cover the basics of neural networks, convolutional networks, autoencoders, restricted Boltzmann machines, and recurrent neural networks, as well as the recently emerging applications in physics.

Machine Learning for Physicists 2019 (QHD 1920 - Video & Folien)

Welcome listeners to AI SOCIETY podcast by Sameer Nigam who is a Machine Learning Engineer by profession and trainer by passion. This podcast covers all the topics from motivation, coding, programming machine learning and News, and extra knowledge that you need to get on. Join the podcast to utilize your time and get up to date and advanced knowledge and news related to machine learning, deep learning, and python programming that you miss during your busy schedule.
Send me suggestions at founder@aisociety.in Support this podcast: https://podcasters.spotify.com/pod/show/aiscoiety/support

AI SOCIETY | Podcast on programming, coding, machine learning and artificial intelligence

In this podcast, Skafos Head of Data Science, Dr. Miriam Friedel, interviews data science leaders who have experience integrating machine learning into products to drive business value. Come and hear about how to successfully merge AI, software engineering, and product to deliver the power of machine learning the way you’ve always wanted. Through these conversations, we hope you get a sense of all the exciting ways that you can use ML to build your business.

Skafos Applied Machine Learning Podcast

Der Podcast für Young Professionals, die nicht nur wissen möchten welche Theorie hinter Machine Learning steckt, sondern auch welche Möglichkeiten daraus entstehen und vor allem wie damit gearbeitet wird. The Erium Podcast räumt mit Mythen auf, gibt Einblicke in die Welt der Data Scientists und zeigt euch die Power von Machine Learning. Master the Complexity!

The Erium Podcast – Data Science & Machine Learning

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 engineers who want to both learn more about different Machine Learning techniques, and at the same time get a deeper understanding of the importance of a human-centered approach to digital design. The podcast is developed by Pontus Wärnestål, Stefan Byttner, Cristofer Englund and Jeanette Sjöberg at Halmstad University in Sweden, and is financed by VINNOVA. Music by Lee Rosevere. Read more: dap.hh.se

Get your daily Machine Learning fix with our podcast selection