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How to Start with Machine Learning
In this article, I'd like to tell you how to start with machine learning, and what to do to learn algorithms that will help you to build smart apps.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 262 posts.
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Aroma: Using machine learning for code recommendation
Aroma is a code-to-code search and recommendation tool that uses ML to make the process of gaining insights from big codebases much easier.
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Viewing Matrices and Probability as Graphs
Today I'd like to share an idea. It's a very simple idea. It's not fancy and it's certainly not new. In fact, I'm sure many of you have thought about it already. But if you haven't—and even if you have!—I hope you'll take a few minutes to enjoy it with me. Here's the idea: Every matrix corresponds to a graph. So…
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TensorFlow Graphics: Computer Graphics Meets Deep Learning
Posted by Julien Valentin and Sofien Bouaziz
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The Machine Learning Software Engineering Interview
Iterations on revealing recurring patterns of thought, feeling, and behavior
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Implementing a Convolutional Neural Network from Scratch in Python
A simple guide to what CNNs are, how they work, and how to build one from scratch in Python.
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OpenAI releases larger GPT-2 model
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
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Building a license plate reader from scratch with deep learning
Learn about attention mechanisms and how they are applied for text recognition tasks. We will also use tensorflow attention ocr to train our own number plate reader.
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How I Eat for Free in NYC Using Python, Automation, AI, and Instagram
Living and working in the big apple comes with big rent.
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Matrices as Tensor Network Diagrams
In the previous post, I described a simple way to think about matrices, namely as bipartite graphs. Today I'd like to share a different way to picture matrices—one which is used not only in mathematics, but also in physics and machine learning. Here's the basic idea. An $m\times n$ matrix $M$ with real entries…
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Model beats Wall Street analysts in forecasting business financials
MIT researchers have developed an automated machine-learning model that uses probability techniques to significantly outperform human Wall Street analysts in predicting quarterly business sales.
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How Transformers Work – Model Used by Open AI and DeepMind
Transformers are a type of neural network architecture that have been gaining popularity. Transformers were recently used by OpenAI in…
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Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Posted by Tali Dekel, Research Scientist and Forrester Cole, Software Engineer, Machine Perception The human visual system has a remarkable abili...
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Speedgate: World’s First Sport Generated by AI
Developers from AKQA, a global innovation agency most known for working with some of the hottest brands and public figures, trained a recurrent neural network and a deep convolutional generative…
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A Visual Exploration of Gaussian Processes
Consulting software engineer and research scientist. I build visualization systems for complex data and machine learning models.
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DiffEqFlux.jl – A Julia Library for Neural Differential Equations
DiffEqFlux.jl – A Julia Library for Neural Differential Equations...
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Smarter Training of Neural Networks
These days, nearly all the artificial intelligence-based products in our lives rely on “deep neural networks” that automatically learn to process labeled data.
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What’s the difference between statistics and machine learning?
I had an interesting discussion at work today (among people I think would all call themselves statisticians!) about the distinction(s) between statistics and machine learning. It is something I am …
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More Data Is Not Better and Machine Learning Is a Grind
I had an opportunity to sit in on a lecture today by two experts on Machine Learning from Amazon, during a lecture at UNC. Ed Banti is Director of Software Development, Core AI Amazon, and Pat Bajari, was VP and Chief Economist, Core AI, at Amazon as well. Both gentlemen shared their insights on working with AI…
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The AI Threat to Open Societies
Good evening and thank you all for coming. I want to use my time tonight to warn the world about an unprecedented danger that’s threatening the very survival of open societies. Last year when I stood before you I spent most of my time analyzing the nefarious role of the IT monopolies. This is what […]
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OpenGPT-2: We Replicated GPT-2 Because You Can Too
By Aaron Gokaslan* and Vanya Cohen*
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Natural Language Processing: The Age of Transformers
This article is the first installment of a two-post series on Building a machine reading comprehension system using the latest advances in deep learning for NLP.
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AI competitions don’t produce useful models
Ai competitions are fun, community building, talent scouting, brand promoting, and attention grabbing. But competitions are not intended to develop useful models.