Effective accelerationism, also known as e/acc, is a philosophical movement that offers a positive perspective on transformative technologies like AI and the progress of humanity. Effective accelerationism has recently gained attention after prominent Silicon Valley figures, including Marc Andreessen and Garry Tan, have expressed their support on X/Twitter. This video explains e/acc in detail. ... https://www.youtube.com/watch?v=bjbSjSvG-Mo
#breakthroughjuniorchallenge
This short video discusses convolutional neural networks with a fun application. This is my Breakthrough Junior Challenge 2021 submission.
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https://www.youtube.com/watch?v=eR19j7332vU
#breakthroughjuniorchallenge This video is my submission for the 2022 Breakthrough Junior Challenge. I explain the motivation for and basics behind DNA-based data storage in 90 seconds.
DNA structure generated using http://www.scfbio-iitd.res.in/software/drugdesign/bdna.jsp (and Blender)
Sound effects and music:
"Pop, Low, A (H1).wav" by InspectorJ (www.jshaw.co.uk) of Freesound.org
“Woosh Noise 1.wav” by potentjello of Freesound.org
"Glitching, Stylophone, A.wav" by InspectorJ (www.jshaw.co.uk) of Freesound.org
Cody High, "Counting the Days", Courtesy of www.epidemicsound.com, https://www.epidemicsound.com/track/jhrnZo8ZG9/
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https://www.youtube.com/watch?v=4jKCXDnOQA4
In this video, I introduce basic neural network and artificial intelligence concepts. In fact, I would recommend this video to kids, as it is relatively simple, and still introduces many Machine Learning concepts!
First, I describe what exactly a neural network is. From there I describe the basics, regarding how neural networks function, and
I also show some of its applications. Finally, I give a basic example and explain how a neural network could be used to figure out the solution.
In the following videos, I will go into detail, describing how exactly neural nets work.
Make sure to subscribe!
Next video - https://www.youtube.com/watch?v=EF7LBSCfW7c
Also, let me know how you feel about the transitions in which my entire body moves, making space for text and images. Would you rather have a different transition style? I'm not sure myself, and any feedback would be greatly appreciated
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https://www.youtube.com/watch?v=SjfZhjWMiwo
Accounting for inflation, the S&P 500 (the most common US stock market index) grows at about 7% per year, while the US GDP grows at about 3% per year. This video explains why it is that the stock market grows faster than GDP.
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https://www.youtube.com/watch?v=JOZiXYf2BAc
Here's the link to the GitHub repository - https://github.com/antaloaalonso/Basic-Python-Neural-Netwokrs
In this video, I explain the code behind a basic Neural Network (a machine learning model). Note that I am not using a library as the code for the Neural Network.
I begin by explaining the functions of all the lines of code. I don't aim to teach the actual python programming language in much detail, so you could say that I am just giving an overview of the code. You should still gain an understanding of what different sections of the code do.
From there I move onto comparisons of NN using and not using things such as biases, and derivatives (yes, you can have a Neural Network without these things, although as you will see, they don't perform nearly as well).
Additionally, I explain what overfitting is and how it must be considered in making an ML model. I also briefly cover underfitting, however, the primary focus is on overfitting.
Here's the link to the first video - https://www.youtube.com/watch?v=SjfZhjWMiwo
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https://www.youtube.com/watch?v=fgxD9GuEP74
Code: https://github.com/antaloaalonso/CNN-With-GUI
In this video, I use convolutional neural networks--written in Python with the help of Tensorflow and Keras--to make a handwritten digit calculator. In doing so, I dive deep into how convolutional neural networks do what they do.
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https://www.youtube.com/watch?v=eyKwPyOqMg4
In this video, I discuss a 3D printed attachment to a string trimmer that allows it to efficiently kill weeds. I call this tool "the obliterator," as it obliterates weeds.
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https://www.youtube.com/watch?v=_2yyzAH8GfI
This physics problem is an application of Newton's second law, and solving it requires considering objects on a pulley as a system.
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https://www.youtube.com/watch?v=gsBtHGRcWWE
Link to UCI Machine Learning Repository (where I got the dataset) - https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29
Link to GitHub - https://github.com/antaloaalonso/Classification-Model-YT-Video
Link to the previous video - https://www.youtube.com/watch?v=WskWc15bcy4&list=PLaKgL6rw9eErQ-rTWQ2WHDjbkQRWZAXWm&index=3
In this video, I use neural networks to predict whether a tumor in a woman’s breasts is 'malignant' or 'benign'. This is a prime example of a classification problem. I implement both logistic and softmax regression models with the Keras API and the Tensorflow backend. Hope you enjoy!
The hospital vector - https://www.freepik.com/free-photos-vectors/background" Background vector created by GraphiqaStock - www.freepik.com
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https://www.youtube.com/watch?v=QiLHwCkx-YQ