Introduction to number theory lecture 26. Roots of polynomials modulo a prime.
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We sketch the Cantor-Zassenhaus algorithm for finding roots of a polynomial moula a prime.
From playlist Introduction to number theory (Berkeley Math 115)
Introduction to number theory lecture 16. More numerical calculation
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We give some more examples of numerical algorithms, such as as algorithm to find square roo
From playlist Introduction to number theory (Berkeley Math 115)
Introduction to number theory lecture 21. Congruences modulo a prime.
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We study the solutions of a polynomial modulo a prime, and prove Wolstenholme's theorem. T
From playlist Introduction to number theory (Berkeley Math 115)
Introduction to number theory lecture 15. Numerical calculation
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We discuss some methods for speeding up number theory calcuations on a computer. Correctio
From playlist Introduction to number theory (Berkeley Math 115)
Introduction to number theory lecture 6. Multiplicative functions.
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We give some examples of multiplicative functions and show how to calculate them. As an app
From playlist Introduction to number theory (Berkeley Math 115)
Introduction to number theory lecture 43 Gaussian integers
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We give some applications of Gaussian integers to the binary quadratic form x^2+y^2. The t
From playlist Introduction to number theory (Berkeley Math 115)
Understanding and computing the Riemann zeta function
In this video I explain Riemann's zeta function and the Riemann hypothesis. I also implement and algorithm to compute the return values - here's the Python script:https://gist.github.com/Nikolaj-K/996dba1ff1045d767b10d4d07b1b032f
From playlist Programming
Introduction to number theory lecture 5. Primes.
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 We discuss some basic properties of primes and prove the fundamental theorem of arithmetic.
From playlist Introduction to number theory (Berkeley Math 115)
Genomic Analysis at Scale: Mapping Irregular Computations to Advanced Architectures
Abstract: Genomic data sets are growing dramatically as the cost of sequencing continues to decline and community databases are built to store and share this data with the research community. Some of data analysis problems require large scale parallel platforms to meet both the memory and
From playlist SIAG-ACDA Online Seminar Series
Introduction to number theory lecture 13. The Chinese remainder theorem.
This lecture is part of my Berkeley math 115 course "Introduction to number theory" For the other lectures in the course see https://www.youtube.com/playlist?list=PL8yHsr3EFj53L8sMbzIhhXSAOpuZ1Fov8 This lecture covers the Chinese remainder theorem. The textbook is "An introduction to the
From playlist Introduction to number theory (Berkeley Math 115)
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Spark: In-Memory Cluster...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Spark: In-Memory Cluster Computing for Iterative and Interactive Applications by Matei Zaharia Matei Zaharia is a fifth year graduate student at UC Berkeley, working with Scott Shenk
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop
Two Case Studies in Private Data Analysis
A Google TechTalk, presented by Kamalika Chaudhuri, 2020/09/25 Paper Title: "New Case-Studies in Inferential and Differential Privacy" ABSTRACT: The vast majority of computer science literature in privacy can be broadly divided into two categories -- differential, where the idea is to e
From playlist Differential Privacy for ML
Alexandre Bayen: "Lagrangian control at large and local scales in mixed autonomy traffic flow"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop III: Large Scale Autonomy: Connectivity and Mobility Networks "Lagrangian control at large and local scales in mixed autonomy traffic flow" Alexandre Bayen - University of California, Berkeley Abstract: This
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Claire Tomlin: "Towards Real-Time Reachability (Part 2/2)"
Watch part 1/2 here: https://youtu.be/f_BTMott6NY High Dimensional Hamilton-Jacobi PDEs Tutorials 2020 "Towards Real-Time Reachability (Part 2)" Claire Tomlin - University of California, Berkeley Institute for Pure and Applied Mathematics, UCLA March 10, 2020 For more information: http
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
633: Responsible Decentralized Intelligence — with Dawn Song
#DecentralizedIntelligence #DifferentialPrivacy #PrivateSQL This week's episode is all about Responsible Decentralized Intelligence as award-winning professor and tech entrepreneur, Dawn Song, joins @JonKrohnLearns to help us explore this exciting topic in-depth. This episode is brought
From playlist Super Data Science Podcast
DDPS | Toward combining principled scientific models and principled machine learning models
Toward combining principled scientific models and principled machine learning models by Michael Mahoney Description: Data-driven machine learning (ML) models have a very different basis than domain-driven physical models such as those based on partial differential equations. There have
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
What Is Apache Spark | Apache Spark Tutorial For Beginners | Simplilearn
🔥Professional Certificate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=WhatisApacheSpark--CyZm9yIQaI&utm_medium=DescriptionFF&utm_source=youtube Apache Spark is an open-source cluster-computing framework. Original
From playlist Big Data Hadoop Tutorial Videos | Simplilearn [2022 Updated]
