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361.1.3761
Ben-Gurion University of the Negev · Electrical Engineering

Introduction to Information Theory and Machine Learning

מבוא לתורת המידע ולמידת מכונה
361.1.3761

✅ Past exams· 0
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🎯 Past homework· 0
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📝 Past notes· 0
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🎥 Videos· 145
🎬 Lecture 1_5
🎬 Lecture 1_6
🎬 Lecture 1_3
🎬 Lecture 1_4
🎬 Lecture 1_1
🎬 Lecture 1_2
🎬 Lecture 10_7
🎬 Lecture 10_3
🎬 Lecture 10_2
🎬 Lecture 10_5
🎬 Lecture 10_4
🎬 Lecture 10_1
🎬 Lecture 10_6
🎬 Lecture 11_1
🎬 Lecture 11_7
🎬 Lecture 11_8
🎬 Lecture 11_3
🎬 Lecture 11_5
🎬 Lecture 11_9
🎬 Lecture 11_2
🎬 Lecture 11_4
🎬 Lecture 11_6
🎬 Lecture 12_8
🎬 Lecture 12_4
🎬 Lecture 12_2
🎬 Lecture 12_7
🎬 Lecture 12_3
🎬 Lecture 12_1
🎬 Lecture 12_6
🎬 Lecture 12_5
🎬 Lecture 13_2
🎬 Lecture 13_10
🎬 Lecture 13_9
🎬 Lecture 13_1
🎬 Lecture 13_7
🎬 Lecture 13_8
🎬 Lecture 13_4
🎬 Lecture 13_3
🎬 Lecture 13_6
🎬 Lecture 13_5
🎬 Lecture 2_2
🎬 Lecture 2_3
🎬 Lecture 2_5
🎬 Lecture 2_1
🎬 Lecture 2_4
🎬 Lecture 2_7
🎬 Lecture 2_6
🎬 Lecture 3_12
🎬 Lecture 3_4
🎬 Lecture 3_3
🎬 Lecture 3_8
🎬 Lecture 3_5
🎬 Lecture 3_9
🎬 Lecture 3_6
🎬 Lecture 3_2
🎬 Lecture 3_1
🎬 Lecture 3_7
🎬 Lecture 3_11
🎬 Lecture 3_10
🎬 Lecture 4_4
🎬 Lecture 4_3
🎬 Lecture 4_1
🎬 Lecture 4_2
🎬 Lecture 5_7
🎬 Lecture 5_1
🎬 Lecture 5_2
🎬 Lecture 5_10
🎬 Lecture 5_6
🎬 Lecture 5_9
🎬 Lecture 5_3
🎬 Lecture 5_4
🎬 Lecture 5_11
🎬 Lecture 5_5
🎬 Lecture 5_8
🎬 Lecture 6_9
🎬 Lecture 6_10
🎬 Lecture 6_1
🎬 Lecture 6_8
🎬 Lecture 6_4
🎬 Lecture 6_6
🎬 Lecture 6_5
🎬 Lecture 6_7
🎬 Lecture 6_2
🎬 Lecture 6_3
🎬 Lecture 7_7
🎬 Lecture 7_2
🎬 Lecture 7_1
🎬 Lecture 7_3
🎬 Lecture 7_4
🎬 Lecture 7_5
🎬 Lecture 7_6
🎬 Lecture 8_9
🎬 Lecture 8_7
🎬 Lecture 8_3
🎬 Lecture 8_6
🎬 Lecture 8_1
🎬 Lecture 8_5
🎬 Lecture 8_8
🎬 Lecture 8_2
🎬 Lecture 8_4
🎬 Lecture 9_1
🎬 Lecture 9_3
🎬 Lecture 9_5
🎬 Lecture 9_2
🎬 Lecture 9_4
🎬 Lecture 9_7
🎬 Lecture 9_6
🎬 Guest Lecture_6
🎬 Guest Lecture_3
🎬 Guest Lecture_5
🎬 Guest Lecture_1
🎬 Guest Lecture_10
🎬 Guest Lecture_4
🎬 Guest Lecture_14
🎬 Guest Lecture_11
🎬 Guest Lecture_2
🎬 Guest Lecture_13
🎬 Guest Lecture_9
🎬 Guest Lecture_7
🎬 Guest Lecture_12
🎬 Guest Lecture_8
🎬 Practice Session 1_10
🎬 Practice Session 1_5
🎬 Practice Session 1_4
🎬 Practice Session 1_6
🎬 Practice Session 1_9
🎬 Practice Session 1_12
🎬 Practice Session 1_3
🎬 Practice Session 1_13
🎬 Practice Session 1_7
🎬 Practice Session 1_1
🎬 Practice Session 1_11
🎬 Practice Session 1_8
🎬 Practice Session 1_2
🎬 Lecture 9 - f divergence and regularization - Zoom
🎬 Lecture 8 - estimating Mutual information using neuarl networks (new lecture) - Zoom
🎬 Lecture 7 on Neural Networks - Zoom
🎬 Lecture 6 - The bases of Neural network - Linear and logistic regression - Zoom
🎬 lecture 5 on GMM and EM - Zoom
🎬 Lecture 4- Markov chain, data processing inequality and Machine learning - Zoom
🎬 Lecture 3 - source coding - Zoom
🎬 Lecture 2 - convex optimizations and properties of information measures - Zoom
🎬 Lecture 11 - channel coding - Zoom
🎬 Lecture 10 - LEP
🎬 First Lecture - Zoom

🌐 International study materials· 0
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📚 Books· 0
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