The Semantic Web is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL) areWięcej oSemantic web[…]
Tag: #machineLearning
Miałam również w tym roku okazję obejrzeć naprawdę fascynujące wykłady ze sztucznej inteligencji, prowadzone przez Mirka Sopka – prezesa MakoLab. Wykłady prowadzone były jak ciekawa historia – począwszy od historii sztucznej inteligencji, poprzez przegląd stosowanych algorytmów oraz dokładne wytłumaczenie działania sieci neuronowych. Podsumowanie zaś zawierało typowe zastosowania sztucznej inteligencji. Polecam wszystkim, którzy dopiero zaczynają przygodęWięcej oKognitywistyka na Katolickim Uniwersytecie Lubelskim[…]
Here are some useful books regarding AI: http://neuralnetworksanddeeplearning.com/ https://www.deeplearningbook.org/ Polish course AI: https://www.elementsofai.pl/
I started this course with thought of resolving problem from work. The idea was not so simple: recognition and outlining using vector lines aeronautical objects at the airports on satelite maps. This task was hard, because airports are not the same in every region – let’s compare for example Frankfurt and Dubai airport: As itWięcej oMachine Learning – Summer School of AI on Technical University of GDN[…]
What is a Perceptron? A Perceptron is an algorithm used for supervised learning of binary classifiers. Binary classifiers decide whether an input, usually represented by a series of vectors, belongs to a specific class. In short, a perceptron is a single-layer neural network. They consist of four main parts including input values, weights and bias, net sum, and an activation function.Więcej oMachine Learning – perceptron[…]
Super easy explanation of this topic is on this Polish blog: https://ichi.pro/pl/zrozumienie-matematyki-stojacej-za-gradient-descent-243979318452334 Strongly recommend!
I am participating as reviewer of this Masacchuset Inistitut of Technology course. I always admired this university as one of the best in the world. For me it was always unrecheable to study in USA, but thanks to coronovirus time, I discovered that they lead free courses on different topics. As my recent interest isWięcej oMIT – Machine Learning with Python-From Linear Models to Deep Learning[…]
How to achieve this in pytohn: import pandas as pd import numpy as np from sklearn.tree import DecisionTreeClassifier from sklearn.model_selection import cross_val_score import xgboost as xgb import eli5 from collections import Counter import gc Firstly we import libraries: pandas, numpy-for data analysis and preparation. From library sklearn we import AI model and needed operations onWięcej oMachine Learning – introduction[…]
Here are another two interesting www sites for learning AI and DataScience: This site consists of free DataScience courses and datasets: https://www.kaggle.com/ 2. This is free course of AI in German: https://bootcamp.codecentric.ai/
Recently I also found this very interesting page for visualisation of different datasets: http://networkrepository.com/index.php