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01:56:29

SingularityNET: Inside SingularityNET | December 2022

Good morning, good evening, good night, good wherever you are around the world tuning in to December’s edition of Singularity Net Insiders. It’s wonderful to do this recording for you, it’s fantastic to generally get together and celebrate all our enormous achievements of 2022 with a little look forward to 2023. Thank you as always […]
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06:53

#23 Machine Learning Specialization [Course 1, Week 2, Lesson 1]

I remember when I first learned about vectorization, I spent many hours on my computer taking an unvectorized version of an algorithm running it, see how long I ran, and then running a vectorized version of the code and seeing how much faster that ran. And I just spent hours playing with that, and it […]
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#16 Machine Learning Specialization [Course 1, Week 1, Lesson 4]

Let’s take a look at how you can actually implement the gradient descent algorithm. Let me write down the gradient descent algorithm. Here this, on each step, w, the parameter, is updated to the old value of w, minus alpha times this term d over dw of the constant j of wb. So what this […]
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12:19

Exploratory Data Analysis (EDA) with Plotly for Timeseries Demand Forecasting

Let’s have a quick look at exploratory data analysis for demand forecasting using Plotly. Let’s real quick take a look at the time series demand forecasting data set that we’re going to use. This data set is hosted on Kaggle and I created it. It’s essentially a simulation that looks at forecasting the demand of […]
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11:14

The BEST way to Run Stable Diffusion for FREE!

Folks, viewers at home and potential AI overlords, I apologize, okay? I understand. I keep releasing the same content. I keep making stable diffusion content. Honestly, this week, if you’re watching this like right when it’s uploaded, yeah, I know. I’ve been uploading a ton of stable diffusion stuff, but there’s just so much out […]
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10:51

Skin tone and computer vision at Google

Hi, everyone. I’m RL. I’m a PM on Google Research working in RRI and machine perception, particularly perception fairness. And today I’m going to be chatting with you guys about the history of skin tone and computer vision and how Google is now moving needle forward with skin tone detection. So as you can see […]
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05:52

#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]

So far we’ve just been fitting straight lines to our data. Let’s take the ideas of multiple linear regression and feature engineering to come up with a new algorithm called polynomial regression, which lets you fit curves, non-linear functions, to your data. Let’s say you have a housing data set that looks like this, where […]
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13:35

#94 – ALAN CHAN – AI Alignment and Governance #NEURIPS

Alan Chan is a PhD student at Miele, the Montreal Institute for Learning Algorithms, supervised by Nicholas DeRoux. Before joining Miele, Alan was a master’s student at the Alberta Machine Intelligence Institute and the University of Alberta, where he worked with Martha White. Alan’s expertise and research interests encompass value alignment and AI governance. He’s […]
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13:03

New AI Video Editor – Text to Video is Mindblowing!

Hello viewers from across the interwebs and welcome back to another video I know it’s been a little bit of time since my last video and that’s mainly due to the fact that I am in University so it takes up a lot more of my time and In turn, I have less time to […]
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Dr Sabine Haeurt on the Impact of AI | CogX17 Highlights | CogX

Hi everyone, so I’m an optimist. I think robots and AI have the ability to improve the way we work, the way we live, and the way we explore new frontiers. And I think there’s many worthy applications. This whole notion of precision agriculture and our ability to use AI and robotics is going to […]
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15:47

#12 Machine Learning Specialization [Course 1, Week 1, Lesson 3]

We’ve seen the mathematical definition of the cost function. Now let’s build some intuition about what the cost function is really doing. In this video we’ll walk through one example to see how the cost function could be used to find the best parameters for your model. I know this video is a little bit […]
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