Sun`iy intellekt

Kurs tavsifi

Sun’iy intellekt qanday holatda ishlashini o’rganish va Propositional Logic, First Order Logic ning Sun’iy intellekt modellari uchun ahamiyatini o’rganish. Sun’iy Intellekt Agentlari ularning turlari va qaysi soha uchun ishlatilishini o’rganish. Supervised learning, Unsupervised learning, Semi-Supervised learning, Reinforcement Learning ni qanday ishlashini o’rganinsh, ulardagi ishlatiladigan asosiy o’rganish yodashuvlarini o’rganish (Neural Networks, Naïve Bayes, Logistic regression, Linear regression, Support Vector Machines, K Nearest Neighbor, K-Means, Principal component analysis, Singular value decomposition, Auto encoders). Python dasturlash tili asosida o’rganish, malumotlar tahriri uchun Numpy, Pandas, scikit-learn, Matplotlib, OpenCV. Frameworks uchun Tensorflow va Pytorch o’rganish