Python programming, Statistics,
Data Science and Machine Learning 💻
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Random rhetorical question:

Is a bathroom still a bathroom if there is no bath in the room?

https://weird-jokes.com/jokes-directory/funny-rhetorical-questions/

Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 python-code.pro
Twitter 🌠 twitter.com/abratus

Data Science Reinforcement Learning use case.

Python programming language and its libraries combined together and R language in addition form the powerful tools for solving Reinforcement Learning tasks.

Reinforcement learning - RL - is an branch of machine learning ML which busy with how intelligent agents should take actions in an environment in order to maximize the notion of cumulative reward.

Reinforcement learning is one of three basic machine learning concepts next to supervised learning and unsupervised learning.

Reinforcement learning is distinguished from supervised learning in not needing labelled input/output pairs be presented, and in not needing sub-optimal actions to be explicitly corrected. Instead the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

https://python-code.pro/reinforcement-learning-python-r-cheatsheets/

Random rhetorical question:

But what if bygones want to be something else?

https://weird-jokes.com/jokes-directory/funny-rhetorical-questions/

ChatGPT is a woman because she know everything and she's always right.

Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 https://python-code.pro/
Twitter 🌠 https://twitter.com/abratus

Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 python-code.pro
Twitter 🌠 twitter.com/abratus

Python is sexy 👌 Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 python-code.pro
Twitter 🌠 twitter.com/abratus

Data Science NLP use case.

Python programming language and its libraries combined together and R language in addition form the powerful tools for solving Natural Language Processing tasks.

Natural language processing - NLP - is a branch of linguistics, computer science CS and artificial intelligence AI which study the interactions between computers and human language, in fact how to program computers to process and analyze natural language data in large amounts.

The main goal is a computer capable of "understanding" the contents of text data, especially the contextual nuances of the language used. The technology must also accurately extract information and basic ideas contained in the documents, categorize and organize the documents themselves.

https://python-code.pro/natural-language-processing-python-r-cheatsheets/

Random rhetorical question:

If I’m holding a bee in my hand, what do I have in my eye?

https://weird-jokes.com/jokes-directory/funny-rhetorical-questions/

It's a fact that flies on screens are not afraid of cursors.

https://weird-jokes.com/jokes-directory/hilarious-computer-programmers-jokes/

True Python coders die single. Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 python-code.pro
Twitter 🌠 twitter.com/abratus

Python programming, Statistics,
Data Science and Machine Learning 💻
WEB SITE 👉 python-code.pro
Twitter 🌠 twitter.com/abratus

Q: What's the difference between git and github?
A: It's the difference between porn and pornhub.

https://weird-jokes.com/jokes-directory/hilarious-computer-programmers-jokes/

AI will take my job.

Python programming, Statistics,
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WEB SITE 👉 https://python-code.pro/
Twitter 🌠 https://twitter.com/abratus

Data distribution in statistics.

In a world of statistics a data distribution is a function which presents all the possible values of the data. It also shows how often each value occurs.
From this distribution it is possible to calculate the probability of any one particular observation in the sample space, or the likelihood that an observation will have a value which is less than (or greater than) a point of interest.

The function of a distribution that presents the density of the values of our data is called a probability density function or simply pdf.

https://python-code.pro/visualizing-statictical-distributions-with-python/

I am single because i believed java is better than python.

https://weird-jokes.com/jokes-directory/hilarious-computer-programmers-jokes/

The guy learning Python.

Python programming, Statistics,
Data Science and Machine Learning 💻
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Twitter 🌠 twitter.com/abratus

Learn statistics in one lesson 💻
WEB SITE 👉 https://python-code.pro/
Twitter 🌠 https://twitter.com/abratus

Artificial Neural Networks (ANN) in Python and R.

Artificial neural networks, usually simply called neural networks NNs, are computing models mainly inspired by the biological neural networks that constitute human brains logic.

An ANN is based on a collection of connected nodes called neurons, modelling the neurons in a biological brain. Each connection, like the synapses in a biological brain, transmits a signal to other neurons. A neuron receiving a signal then processes it and transmits signal to neurons connected to it. The "signal" at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are also called edges. Neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold. Neurons are aggregated into layers which perform different transformations on their inputs. Signals travel from the input layer to the output layer through number of hidden layers.

https://python-code.pro/artificial-neural-networks-python-r-cheatsheets/