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A follow-up.
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Coding agents write impressive first drafts.
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Agent frameworks hide the loop behind agent.run() and a graph DSL.
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Offense asks 'does a bug exist?'
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Both fit a distribution over outputs conditioned on an input.
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From spectral clustering to Gaussian processes to transformer attention, the same primitive, a similarity matrix between points, keeps showing up as the load-bearing piece of very different models.
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Back after a long hiatus, what's changed and what's coming.
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BFS, Dijkstra, and A* differ by one line: the data structure you pop the next node from.
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So PyTorch is the new popular framework for deep learners and many new papers release code in PyTorch that one might want to inspect.
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PCA, factor analysis, ICA, Gaussian mixtures, vector quantization, HMMs, and Kalman filters are the same two equations with different restrictions on the latent variables.
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Backpropagation, belief propagation, the Viterbi algorithm, and matrix-chain multiplication all solve the same problem: summing over exponentially many paths in a graph by reusing work.
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I love the simplicity of autoencoders as a very intuitive unsupervised learning method.
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PCA, factor analysis, logistic regression, Gaussian mixtures, HMMs, and Kalman filters are the same probabilistic graphical model with different independence assumptions.
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What is a neural network?
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I typically use my computers at home to connect to my work computer.
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Theano might look intimidating, but there are a few concepts that if understood, would make the engineering involved in deep learning more tangible.
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Deep learning is hot!
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Barbara Minto's pyramid: put the answer at the top, let the reader's questions drive the hierarchy, and choose deduction or induction at each branch.
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I have been blogging about the qualifications of advanced degree holders and how they should be approaching a job search.
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Recently, I read a post on the Chronicle where the author had listed all the excuses she could come up with, to justify her decision not to pursue a fulfilling and rewarding…
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A PhD has traditionally been the path to a career in academia.
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An old note on Elon Musk's first-principles reasoning, updated for 2026.
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The world is nonlinear.
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One of the most exhilarating observations of physics and mathematics for me, comes from understanding the concept of nonlinearity. i.e. inputs don't necessarily need to be…