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author | Zhongheng Liu on Homelab <z.liu@outlook.com.gr> | 2025-03-10 12:21:59 +0200 |
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committer | Zhongheng Liu on Homelab <z.liu@outlook.com.gr> | 2025-03-10 12:21:59 +0200 |
commit | 9568147aefac22f8928460220560c62bbd972c99 (patch) | |
tree | 027fb6a066797ac3b83076a8cb7327c4abada711 | |
parent | 636fe6eaf079253e3a9b60e85d4d148141c5f1e2 (diff) | |
download | cs-y13-9568147aefac22f8928460220560c62bbd972c99.tar.gz cs-y13-9568147aefac22f8928460220560c62bbd972c99.tar.bz2 cs-y13-9568147aefac22f8928460220560c62bbd972c99.zip |
feat: theory artificial intelligence
-rw-r--r-- | notebooks/a_bit_of_a_pickle.ipynb | 2 | ||||
-rw-r--r-- | notebooks/task-26-01.ipynb | 62 | ||||
-rw-r--r-- | notebooks/theory_ai.ipynb | 35 | ||||
-rw-r--r-- | thing.bin | bin | 35 -> 0 bytes |
4 files changed, 98 insertions, 1 deletions
diff --git a/notebooks/a_bit_of_a_pickle.ipynb b/notebooks/a_bit_of_a_pickle.ipynb index e62e859..4519b0d 100644 --- a/notebooks/a_bit_of_a_pickle.ipynb +++ b/notebooks/a_bit_of_a_pickle.ipynb @@ -16,7 +16,7 @@ "import pickle\n", "class StudentObject:\n", " def __init__(self):\n", - " " + " pass" ] }, { diff --git a/notebooks/task-26-01.ipynb b/notebooks/task-26-01.ipynb new file mode 100644 index 0000000..2c847a8 --- /dev/null +++ b/notebooks/task-26-01.ipynb @@ -0,0 +1,62 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# TASK 26.01" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import datetime\n", + "import pickle\n", + "import random # data generator\n", + "class Car:\n", + " def __init__(self, car_id):\n", + " self.VehicleID = car_id\n", + " self.__Registration = \"\"\n", + " self.__Date = datetime.datetime.now()\n", + " self.__EngineSize = -1\n", + " self.__PurchasePrice = 5900_00\n", + "def data_generator():\n", + " cars = []\n", + " for i in range(40):\n", + " s = \"ID\"\n", + " for i in range(10):\n", + " s += str(random.randint(0, 9))\n", + " cars.append(Car(s))\n", + " return cars\n", + "with open(\"cars.dat\", 'wb+') as carfile:\n", + " for car in data_generator():\n", + " print(car.VehicleID)\n", + " pickle.dump(car, carfile)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/theory_ai.ipynb b/notebooks/theory_ai.ipynb new file mode 100644 index 0000000..49307e7 --- /dev/null +++ b/notebooks/theory_ai.ipynb @@ -0,0 +1,35 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Artificial intelligence\n", + "\n", + "## Catelogires\n", + "- Narrow AI - when a machine has superior performance to a human when doing one specific task.\n", + "- General AI is when a machine is similar in its performance to a human in any intellectual task.\n", + "- Strong AI is when a machine is superior to humans in any intellectual task.\n", + "\n", + "## Machine learning\n", + "A subset of AI\n", + "\n", + "### Supervised Learning\n", + "uses regression and classification analysis\n", + "- requires input and output\n", + "- uses labelled data\n", + "- receive set of inputs and correct outputs to permit learning process\n", + "- once trained, the model is run using labelled data (to refine / reinforce)\n", + "- results compared with expected output.\n", + "- model is run with unlabelled data" + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/thing.bin b/thing.bin Binary files differdeleted file mode 100644 index aa413c8..0000000 --- a/thing.bin +++ /dev/null |