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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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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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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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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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20:09

Panel Discussion: 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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39:00

CreaTech: UK CreaTech R&D: The network effect

CreaTech: UK CreaTech R&D: The network effect Advanced creative technologies including AI stand to transform the value chain of the UK’s creative industries, from content production to distribution and dissemination. Using open research and startup data with data science methods, this session delves into new research — commissioned by ARHC and conducted by the Creative […]

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35:51

Lab to live: Supercharging science: How organisations can drive innovation with AI

Lab to live: Supercharging science: How organisations can drive innovation with AI Kunle Olukotun – Co-Founder and Chief Technologist, SambaNova Systems Venkatram Vishwanath – Computer Scientist, Data Science Group Lead, Argonne National Laboratory Jennifer Glore – Senior Director, Customer Engineering at SambaNova Systems – SambaNova (Moderator) #CogX2021 #JoinTheConversation YouTube Source for this AI Video

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01:11:50

Machine Learning Tools and Frameworks – EMEA Meetup #3 – October 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our November 2018 EMEA TWiML Online Meetup. In this month’s community segment we discuss the upcoming EMEA meetup group, along with our ongoing and upcoming Fast.AI study groups. We explore some of the differences between the v0.7 course and the current itter, v3 […]

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33:41

Live from TWIMLcon! Scaling ML in the Traditional Enterprise – #309

In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss & Co., and Jürgen Weichenberger, Data Science Senior Principal & Global AI Lead at Accenture, […]

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55:50

AI Enterprise Workflow Study Group – Course 1 Week 2

This is the recording from the second meeting of our AI Enterprise Workflow study group, recorded on Saturday Feb 29th. Week two dove deeper into data ingestion and featured a case study/project that reinforced the principles discussed in the lectures. Specific topics discussed this time include: – Data ingestion – ETL, etc. – Data science […]

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42:12

Kirk Borne Interview – Towards the Self-Driving Enterprise

In this show, the first of our PegaWorld 18 series, I’m joined by Kirk Borne, Principal Data Scientist at management consulting firm Booz Allen Hamilton. In our conversation, Kirk shares his views on automation as it applies to enterprises and their customers. We discuss his experiences evangelizing data science within the context of a large […]

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55:06

2030 Vision: Can Data Science Improve Lives of the Disadvantaged? | 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/ 2030 Vision: Can Data Science Improve Lives of the Disadvantaged? Presentation given at CogX 2019, on the Future of Work and Education. Tariq Khokhar; Chief Data […]

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