This lecture discusses the high-level goals of machine learning, and what we want out of our models. Goals include speed and accuracy, along with interpretability, generalizability, explainability, certifiability. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve
From playlist Intro to Data Science
What Is Quantum Computing | Quantum Computing Explained | Quantum Computer | #Shorts | Simplilearn
🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingShorts&utm_medium=ShortsDescription&utm_source=youtube Quantum computing is a branch of computing that focuses on developing computer tech
From playlist #Shorts | #Simplilearn
Quantum Computer in a Nutshell (Documentary)
The reservoir of possibilities offered by the fundamental laws of Nature, is the key point in the development of science and technology. Quantum computing is the next step on the road to broaden our perspective from which we currently look at the Universe. The movie shows the history of pr
From playlist Quantum computing
Web Development - Computer Science for Business Leaders 2016
CSS, HTML; desktop, mobile
From playlist Computer Science for Business Leaders, March 2016
Computer Literacy - (unit 4) - the internet - 2 of 4
Forth unit of a series for newbie computer users. See http://proglit.com/computer-skills/ for additional information and material.
From playlist Computer Literacy - (unit 4) - the internet
Computer Basics: What Is a Computer?
Computers are all around us, and they play an important role in our lives. But what exactly is a computer? We're going to answer that question and give you an overview of some of the different types of computers you might use. 0:00 Intro 0:22 Ones and zeros 0:39 Hardware and software 1:0
From playlist Starting out with Technology
Star Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Star Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science
D2I - Kate Keahy discusses cloud computing possibilities
Infrastructure-as-a-Service (IaaS) style cloud computing is emerging as a viable alternative to the acquisition and management of physical resources. But what exactly is cloud computing, how can we leverage it, and what opportunities does it open? In this talk, Kate Keahy gives an overvie
From playlist Data to Insight Center (D2I)
HPC Cluster Engineer Academy 2022 Presentations
The HPC Cluster Engineer Academy is a 9-week internship that gives students direct experience with running and maintaining high performance computing (HPC) systems. Sponsored by Livermore Computing, these interns learn the basics of cluster engineering and system installation under the gui
From playlist Computing
The Math Needed for Computer Science
STEMerch Store: https://stemerch.com/Support the Channel: https://www.patreon.com/zachstar PayPal(one time donation): https://www.paypal.me/ZachStarYT Versión en español de este video: https://www.youtube.com/watch?v=TmyieeucUQo Computer science majors have to learn a different kind of m
From playlist Computer Science/Computer Engineering
Lecture 14 | MIT 6.832 Underactuated Robotics, Spring 2009
Lecture 14: Feasible motion planning Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.832 Underactuated Robotics, Spring 2009
Reservoir computing in noisy real-world systems: network inference and dynamical. by Sarthak Chandra
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
The Traveling Salesman Problem: When Good Enough Beats Perfect
Use the code "reducible" to get CuriosityStream for less than $15 a year! https://curiositystream.com/reducible The Traveling Salesman Problem (TSP) is one of the most notorious problems in all of computer science. In this video, we dive into why the problem presents such a challenge for
From playlist Graph Theory
Tina Eliassi-Rad: "Task-driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces"
Deep Learning and Combinatorial Optimization 2021 "Task-driven Network Discovery via Deep Reinforcement Learning on Embedded Spaces" Tina Eliassi-Rad - Northeastern University, Computer Science & Network Science Abstract: Most network analysis is conducted on existing incomplete samples
From playlist Deep Learning and Combinatorial Optimization 2021
Turing Machines and The Halting Problem (Part 2)
The Halting Problem has fascinated thousands of computer scientists from around the world. A major part of Computing Logic, the proof of the halting problem proves that computers can't do everything. Check out the video to learn more about why computers work the way they do! For Turing Ma
From playlist Math
MountainWest RubyConf 2015 - Solving Ricochet Robots
by Randy Coulman Ricochet Robots is a puzzle board game for any number of players. While being a very fun game to play with some fascinating properties, it is also interesting to think about writing a program to play the game. Let’s discuss a computerized player for Ricochet Robots that fi
From playlist MWRC 2015