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39:53

Data Governance for Data Science with Adam Wood – #578

Today we’re joined by Adam Wood, Director of Data Governance and Data Quality at Mastercard. In our conversation with Adam, we explore the challenges that come along with data governance at a global scale, including dealing with regional regulations like GDPR and federating records at scale. We discuss the role of feature stores in keeping […]

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274

01:11:26

Pathways in Machine Learning/Data Science

-Welcome to our virtual event on pathways in Data Science and Machine Learning. We are excited to feature industry leaders including: -Caroline Lair, Founder of The Good AI, Co-founder of Women in AI https://www.linkedin.com/in/carolinelair/ -Sadie St Lawrence, Founder and CEO, Women in Data https://www.linkedin.com/in/sadiestlawrence/ -Gabriela de Queiroz, Chief Data Scientist, AI Strategy and Innovation, IBM […]

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92

13:21

An introduction to MLOps with TensorFlow Extended (TFX)

Deploying advanced machine learning technology to serve customers and/or business needs requires a rigorous approach and production-ready systems. An ML application in production requires modern software development methodology, as well as issues unique to ML and data science. Hear about the importance of MLOps, the use of ML pipeline architectures for implementing production ML applications, […]

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75

11:39

Setup Apple Silicon Mac for Machine Learning in 11 minutes (PyTorch edition)

Setup your Apple M1, M1 Pro, M1 Max or M1 Ultra Mac for data science and machine learning with PyTorch. Get the code on GitHub – https://github.com/mrdbourke/pytorch-apple-silicon PyTorch on Mac announcement blog post – https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/ Learn PyTorch – https://learnpytorch.io Setup Apple M1 for TensorFlow – https://youtu.be/_1CaUOHhI6U Other links: Learn ML (beginner-friendly courses I teach) – […]

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01:08:02

Tech Special Docker for Data Science @ TWiML Online Meetup EMEA 4 March 2019 1080p

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our March 2019 EMEA TWiML Online Meetup. In this month’s community segment, we discuss the upcoming EMEA Meetup in April, the progress of the v3 Deep Learning Part 1 study group, the preparation for the v3 Deep Learning Part 2 course and study […]

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39:14

Librosa: Audio and Music Processing in Python with Brian McFee – TWiML Talk #263

Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of LibROSA, a python package for music and audio analysis. Brian walks us through his experience building LibROSA, including: • Detailing the core functions provided in the library, • His experience working within […]

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49:54

Rob Munro Interview – Human-in-the-Loop AI for Emergency Response & More

In this episode, I chat with Rob Munro, CTO of the newly branded Figure Eight, formerly known as CrowdFlower. Figure Eight’s Human-in-the-Loop AI platform supports data science & machine learning teams working on autonomous vehicles, consumer product identification, natural language processing, search relevance, intelligent chatbots, and more. Rob and I had a really interesting discussion […]

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265

01:06:14

How to transition into a career in ML/AI

Event Agenda: – 20 mins: Event kickoff + Presentation by Sadie St.Lawrence (https://www.linkedin.com/in/sadiestlawrence/) – 40 mins: Q&A on Discourse How to participate in Q&A: – Join our community on Discourse to post questions to our speakers and discuss with others. – After logging in, go to the career category (https://community.deeplearning.ai/c/random-discussions/careers/how-to-transition-into-a-ml-ai-career/238) and post your questions or […]

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294

22:04

How to learn data science with Coursera in 2022 (beginner-friendly)

This video details how to create your own beginner-friendly curriculum using Notion to learn Python, data science and machine learning on Coursera in 2022. Get $100USD off Coursera Plus yearly (before Jan 13) – https://dbourke.link/coursera-plus-2022-deal Notion data science curriculum template – https://dbourke.link/coursera-notion-template-2022 Note: some links are affiliate links which means if you click one and […]

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12

01:26:55

SingularityNET: Panel: Simulating the Pandemic – Perspectives on COVID-19 modeling – COVID-19 Simulation Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speakers Moderator: Gina Smith, PhD Based in Hong Kong, Gina Smith, PhD is the New York Times bestselling author of Apple cofounder Steve Wozniak’s biography, iWoz, and The Genomics Age, a 2008 Barron’s Book of the Year. A former ABC News correspondent and a longtime […]

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10:21

INTRODUCTION TO REMOTE DATA SCIENCE | ANDREW TRASK

In this talk Andrew will give an overview of the motivations, use cases, and techniques for privacy preserving artificial intelligence and announce a new course wherein students will learn how to deploy and use federated data networks for remote data science. Source of this PyTorch AI Video

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26

01:09:21

SingularityNET: Agent-Based Simulation of COVID-19 Health and Economical Effects – Dr. Petronio Candido

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Petrônio Cândido L. Silva is a Brazilian professor, developer, and researcher. He has a B.Sc degree in Information Systems(2005), an M.Sc degree in Informatics (2010), and a Ph.D. in Electrical Engineering(2019). Currently, he works in the Federal Institute of Minas Gerais (Brazil) and is […]

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122

13:01

Setup Apple M1 Pro, M1 Max MacBook Pro for Machine Learning in 13-minutes (also works for M1)

How to get your Apple M1 Pro, M1 Max or M1 MacBook Pro setup for data science and machine learning. In this video, we install Homebrew and Miniforge3 to create a Conda environment containing pandas, NumPy, Scikit-Learn, Matplotlib, Jupyter and TensorFlow. We’ll also setup TensorFlow to leverage the GPU on the new M1 chips. Step […]

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55:02

Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi – #540

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 oil […]

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00:55

How to learn data science for $1

Coursera is having a promotion over the next couple of weeks to give access to all of the courses in Coursera Plus for $1 USD for the first month. If you’re interested in learning data science, machine learning, Python or getting Google certified, now’s the time to try. Coursera deal – https://dbourke.link/coursera-cyber-deal-2021 Offer valid from […]

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10:30

Getting Started with Colab for Python and Data Science

In this video I review some tricks and tips for CoLab. Transferring files, installing libraries, using the pro terminal mode, and dealing with timeouts. 1:02 GitHub Badge for Google Colab 1:43 Choose an Instance 1:54 Installing Libraries 2:06 Terminal (pro) 2:51 Running Pip Install 3:45 Running UNIX Commands 3:52 Colab File Space 6:10 Uploading and […]

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25:51

Shell: Turning An AI Strategy Into Practice | CogX 2019

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ Shell: Turning An AI Strategy Into Practice. Presentation given at CogX 2019 Dan Jeavons; Head of Data Science, Shell Bernard Marr; CEO & Co-Founder, Bernard Marr […]

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49:16

House Hunters: Machine Learning at Redfin with Akshat Kaul – #530

Today we’re joined by Akshat Kaul, the head of data science and machine learning at Redfin. We’re all familiar with Redfin, but did you know that redfin.com is the largest real estate brokerage site in the US? In our conversation with Akshat, we discuss the history of ML at Redfin and a few of the […]

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T12 16 Panel: Causal ML in industry

Speakers: Greg Lewis, Senior Principal Researcher, Microsoft Research Redmond Ya Xu, Head of Data, LinkedIn Totte Harinen, Data Scientist, Toyota Research Institute Dawen Liang, Senior Research Scientist, Netflix Causal ML is widely used by data science teams in the tech world to give business decision makers data-driven answers. In this panel data science leaders at […]

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Scaling Video AI at RTL with Daan Odijk – #435

Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put … YouTube Source for this AI Video

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Academic Research Summit 2019 on Data Science and AI – Welcome Session

Academic Research Summit 2019 introduction and welcome. See more at https://www.microsoft.com/en-us/research/video/academic-research-summit-2019-on-data-science-and-ai-welcome-session/ YouTube Source for this Microsoft AI Research Video

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Systems Support for AI

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense, and understand—enabling collaborative and natural interactions between machines […]

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36:14

Enzian: Research Hardware for Systems support for AI

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense, and understand—enabling collaborative and natural interactions between machines […]

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09:38

Track: AI for Societal Impact

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense, and understand—enabling collaborative and natural interactions between machines […]

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