Lecture 1: Introduction to Superposition
In this lecture, Prof. Adams discusses a series of thought experiments involving “box apparatus” to illustrate the concepts of uncertainty and superposition, which are central to quantum mechanics. The first ten minutes are devoted to course information. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
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How To Update Your Beliefs Systematically – Bayes’ Theorem
Here’s a great video that explains Bayes’ theorem with examples and implications for life. I didn’t say it explicitly in the video, but in my view the Bayesian trap is interpreting events that happen repeatedly as events that happen inevitably. They may be inevitable OR they may simply be the outcome of a series of […]
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Statistics and Probability for Data Science
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Frank
- June 8, 2022
- data science edureka
- data science probability and statistics
- data science statistics
- Data Science Training
- edureka
- probability
- Probability and Statistics
- Statistics
- statistics and probability
- statistics and probability course
- statistics and probability for data science
- statistics and probability for machine learning
- statistics and probability tutorial
- statistics course for data science
- statistics edureka
- Statistics for Data Science
- Statistics Tutorial
A lot of people ask me about breaking into the fields of AI and data science. Many are surprised to hear that the core of it all revolves around statistics more so than “just code.” This session on Statistics And Probability will cover all the fundamentals of stats and probability. Topics Covered : 00:00:00 Introduction […]
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Judea Pearl on Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI
Lex Fridman interviews Judea Pearl is a professor at UCLA and a winner of the Turing Award. The Turing Awards is the Nobel Prize of computing. Judea Pearl is a professor at UCLA and a winner of the Turing Award, that’s generally recognized as the Nobel Prize of computing. He is one of the seminal […]
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Bayesian Deep Learning on a Quantum Computer
Learn about bayesian deep learning and how to apply it to a quantum computer from Alex Pozas-Kerstjens
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Generative Modeling Applications
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Frank
- October 1, 2019
- 3D Modeling
- 3d Objects
- artificial intelligence
- Autoencoder
- Code
- Coding
- colab
- Data
- data distribution
- Deep Learning
- demo
- discriminative modeling
- engineering
- GAN
- generative adversarial network
- generative modeling
- Machine Learning
- Neural Network
- Nvidia
- probability
- probability function
- probability theory
- progan
- Programming
- Python
- Siraj Raval
- Software
- Tutorial
Siraj Raval explores generative modeling technology. This innovation is changing the face of the Internet as you read this. It’s now possible to design automated systems that can write novels, act as talking heads in videos, and compose music. In this episode, Siraj explains how generative modeling works by demoing 3 examples that you can […]
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