In the movie Matrix Reloaded, we see Trinity use SSH Nuke to hack a compromised server. This script exploits the SSH CRC-32 vulnerability, specifically known as CVE-2001-0144, which affected older versions of the OpenSSH software. Here’s an explanation of how…
Here is how you can call OpenAI’s ChatGPT API, given that you have an API key. Follow these instructions to get one. import openai openai.api_key = 'FILL IN YOUR OWN' openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful…
You may have the need to reset your wordpress password and here I’ll show you how to do that, assuming you have access to your sites MySQL database. WordPress stores the password for your user in the wp_users table. The…
I asked ChatGPT to: explain double machine learning for dummies Here is the answer: Double machine learning (DML) is a statistical method used to estimate treatment effects in the presence of high-dimensional controls. To put it simply, it’s a way…
Yes, this is clearly nonsense. Sorting is not a hard problem and standard algorithms such as quicksort and mergesort have O(x^2) and O(n log(n)) complexity. But let me scratch this itch of sorting numbers using an evolutionary algorithm, specifically Covariance…
Imports: import plotly.graph_objects as go Plot: fig = go.Figure() fig.add_trace(go.Scattermapbox( mode = "markers+lines", lon = [10, 20, 30], lat = [10, 15,30], marker = {'size': 10})) fig.add_trace(go.Scattermapbox( mode = "markers+lines", lon = [-50, -60,40], lat = [30, 10, -20], marker…
This article on causal machine learning covers a practical example of how to learn structural causal models (SCM) directly from data. We will use bnlearn, which is an open-source library for learning the graphical structure of Bayesian networks in Python.…
Here is a plan to learn ML fundamentals in an afternoon by watching some videos on youtube: Follow this plan Machine learning fundamentals: What is Bias and Variance? – 6 minutes What is a Tensor? – 12 minutes [Stop and…
Python has great options for plotting data. However, sometimes you want to explore data by changing parameters and rerunning plots to explore the effect of those changed parameters. This slows down the cycle of exploration. Luckily, Jupyter offers you a…