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Introduction to concentration inequalities with statistical applications_Bernard Bercu on 15Jan2021
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ENCIT 2020 - ENERGY AND EXERGY ANALYSIS OF AN INTERNAL COMBUSTION USING DIESEL RK SOFTWARE
Bounding the generalisation error in machine learning with concentration inequalities
Radek Adamczak: Functional inequalities and concentration of measure I
[6. Concentration Inequalities] 6.1 Markov and Chebyshev Inequalities
Concentration Inequalities: NPTEL 2022 Live Session Week 1
MLSS 2012: G. Lugosi - Session 2: Concentration Inequalities in Machine Learning (Part 1)
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Last Updated: October 1, 2026
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Summary
यह व्याख्यान कंप्यूटेशनल न्यूरोसाइंस के सिद्धांतों का उपयोग करते हुए पावलोवियन कंडीशनिंग और सीखने की प्रक्रियाओं का विश्लेषण करता है। इसमें रिवॉर्ड प्रेडिक्शन एरर, टी.डी.-लर्निंग, और प्राइमेट मस्तिष्क में डोपामिनर्जिक कोशिकाओं की भूमिका की वैज्ञानिक व्याख्या की गई है, जो यह समझने में मदद करती है कि प्रत्याशा और वास्तविक परिणाम हमारे व्यवहार और खुशी को कैसे प्रभावित करते हैं। In this video we briefly describe how we can bound the generalisation error (defined as the true risk minus the empirical risk) ... Concentration inequalities are one of the basic tools of probability and asymptotic geo- metric analysis, underlying the proofs of ... This series [Probability] closely follows Stanford University's CS 109 (Probability for Computer Scientists), and University of ... The session was conducted on 30 July 2022 as part of the NPTEL course on Concentration Inequalities ... Machine Learning Summer School 2012: Session 2: Concentration Inequalities in Machine Learning (Part 1) - Gabor Lugosi ...