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  • November 10, 2023
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Pandas v Psycopg:

A Postgres database speed test. Who wins?Continue reading on Better Programming »

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  • November 10, 2023
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Automating Your DevOps: Writing Scripts that Save Time and Headaches

Or, how scripting revolutionized my workflowContinue reading on Better Programming »

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  • November 10, 2023
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Integrating Psychology into Software Development

Emotional Architecture in Software DesignContinue reading on Better Programming »

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  • November 8, 2023
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Top Redux Alternatives: Exploring State Management Solutions

In this article, we’ll explore some popular Redux alternatives, each offering unique features and benefits that cater to different use cases. Continue reading Top Redux Alternatives: Exploring State Management Solutions on SitePoint.

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  • November 8, 2023
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USPS tracking numbers

I noticed the other day that an app on my phone assumed that a long number was a USPS tracking number. I wondered how it decided that and did a little research. I assumed there was some structure to the number, at least a check sum if not more than

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  • November 8, 2023
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Zero-Concentrated Differential Privacy

Differential privacy can be rigid and overly conservative in practice, and so finding ways to relax pure differential privacy while retaining its benefits is an active area of research. Two approaches to doing this are concentrated differential privacy [1] and Rényi differential privacy [3]. Differential privacy quantifies the potential impact

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  • November 8, 2023
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Differentially private stochastic gradient descent

Let’s work our way up to differentially private stochastic gradient descent (DP-SGD) a little at a time. We’ll first look at gradient descent, then stochastic gradient descent, then finally differentially private stochastic gradient descent. Gradient descent We’ll start with gradient descent. Suppose you have a function of several variables f(x)

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  • November 8, 2023
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An intuitive introduction to text embeddings

Text embeddings are key to LLMs and convert text into vector coordinates.

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  • November 8, 2023
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Using dimensional analysis to check probability calculations

Probability density functions are independent of physical units. The normal distribution, for example, works just as well when describing weights or times. But sticking in units anyway is useful. Normal distribution example Suppose you’re trying to remember the probability density function for the normal distribution. Is the correct form or

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  • November 8, 2023
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Randomized response and local differential privacy

Differential privacy protects user privacy by adding randomness as necessary to the results of queries to a database containing private data. Local differential privacy protects user privacy by adding randomness before the data is inserted to the database. Using the visualization from this post, differential privacy takes the left and

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