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الكورس عملاق بمعنى الكلمة من Hamid Tizhoosh
Machine Intelligence - Lecture 1 (methods, history, definitions, Turing Test)

Machine Intelligence - Lecture 1 (methods, history, definitions, Turing Test)

الكورس عملاق بمعنى الكلمة من Hamid Tizhoosh

الدرس التالي

محتوى الكورس

جميع الدروس
23 درس
20:18 Machine Intelligence - Lecture 1 (methods, history, definitions, Turing Test)
20:25 Machine Intelligence - Lecture 2 (Turing Test, Chinese Room, Generalization, PCA)
19:22 Machine Intelligence - Lecture 3 (PCA, AI and Data)
18:22 Machine Intelligence - Lecture 4 (LDA, t-SNE)
22:22 Machine Intelligence - Lecture 5 (Computer Vision, Features, Fisher Vector, VLAD)
17:56 Machine Intelligence - Lecture 6 (Validation, Overfitting, Underfitting)
21:44 Machine Intelligence - Lecture 7 (Clustering, k-means, SOM)
19:42 Machine Intelligence - Lecture 8 (SOM learning, Support Vector Machines)
21:50 Machine Intelligence - Lecture 9 (Cluster Validity, Probability, Fuzzy Sets, FCM)
22:05 Machine Intelligence - Lecture 10 (Regression, Neurons, Perceptron, Learning)
16:33 Machine Intelligence - Lecture 11 (Backpropagation, Topology, Overfitting, Autoencoders)
22:16 Machine Intelligence - Lecture 12 (Problems of Learning, RBMs, Autoencoders)
21:47 Machine Intelligence - Lecture 13 (Convolutional Neural Networks, CNNs)
21:58 Machine Intelligence - Lecture 14 (Overfitting in Deep Learning, Reinforcement Learning)
21:44 Machine Intelligence - Lecture 15 (Reinforcement Learning, Q-Learning)
23:54 Machine Intelligence - Lecture 16 (Decision Trees)
22:16 Machine Intelligence - Lecture 17 (Fuzzy Logic, Fuzzy Inference)
11:47 Machine Intelligence - Lecture 18 (Evolutionary Algorithms)
57:38 Machine Intelligence - Lecture 19 (Opposition-Based Learning, GAs, DE)
22:46 Machine Intelligence - Lecture 20 (Bayesian Learning, Bayes Theorem, Naive Bayes)
49:58 Machine Intelligence - Lecture 21 (Naive Bayes, Swarm Intelligence, Ant Colonies)
17:15 Ethics of Artificial Intelligence - Part 1 :: Machine Intelligence Course, Lecture 23
14:40 Ethics of Artificial Intelligence - Part 2 :: Machine Intelligence Course, Lecture 24