Optimization algorithms and methods
Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move, "stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphill move." (Wikipedia).
Speed Climbing part 4: 10m wall, 29 seconds
This is my third session on the wall in one week! I've now cut my time down to just below 30 seconds. Still not the best but pretty happy to be in the 20s!
From playlist Rock Climbing
Speed Climbing part 3: 10m wall, 37 seconds
Beat my previous PB of 53 seconds by another 16 seconds, so I thought I'd make another video! Enjoy. I love speed climbing because you can measure the improvement!
From playlist Rock Climbing
Hard Red Route #2 Top Rope Rock Climbing (grade approximation 5.11a)
This is the 2nd Red route I've completed at Urban Climb West End without falling! It took a while for me to film a second red climb because I didn't have enough stamina to do it all in one go without falling until now. Had a lot of help from my friends to get this done!
From playlist Rock Climbing
Start on a boulder lying down? (V2 / V3 grade)
This is a funny boulder that requires you to touch a very small hold in an awkward spot before you start! I enjoyed doing it. Don't forget to check out rock climbing at Olympics this year! Approximate Grades at Urban Climb: https://www.thecrag.com/en/climbing/australia/queensland/brisbane
From playlist Rock Climbing
Unexpected fall in bouldering LOL
Just a funny falling video - Magic Monk isn't always successful :) Enjoy!
From playlist Rock Climbing
Bouldering Purple Route #3 at Urban Climb West End
Urban Climb has built a new gym in West End and I was a VIP to climb before public opening! Here is me doing a fun purple - it's a lot trickier than it looks! At Urban Climb, the levels are as follows: Level 1 - Easiest - Yellow Level 2 - Easy - Blue Level 3 - Easy/Intermediate - Purple
From playlist Rock Climbing
Hill Climbing Algorithm In Artificial Intelligence | Artificial Intelligence Tutorial | Simplilearn
π₯Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=HillClimbingAlgoJan14&utm_medium=Descriptionff&utm_source=youtube π₯Professional Certificate Program In AI And Machine Learning: https://www.simpl
From playlist AI & Machine Learning | Ronald Van Loon [2022 Updated]
Hill Climbing Algorithm | Hill Climbing in Artificial Intelligence | Data Science Tutorial | Edureka
π₯ Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai Hill Climbing is an Algorithm is one that will find you the best possible solution to your problem in the most reasonable period of time! This
From playlist Data Science Training Videos
Gradient Descent Machine Learning | Gradient Descent Algorithm | Stochastic Gradient Descent Edureka
π₯Edureka ππ ππ’π©π₯π¨π¦π π’π§ ππ & ππππ‘π’π§π ππππ«π§π’π§π from E & ICT Academy of πππ πππ«ππ§π ππ₯ (ππ¬π ππ¨ππ: πππππππππ): https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka video on ' Gradient Descent Machine Learning' will give you an overview of Gradient Descent Algorithm and
From playlist Data Science Training Videos
Steve Fitzgerald - Path integral formulation of stochastic processes... - IPAM at UCLA
Recorded 30 March 2023. Steve Fitzgerald of the University of Leeds presents "Path integral formulation of stochastic processes: non-equilibrium reaction pathways, hyperdynamics, and enhanced sampling" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
AMAZING physics experiment Standing wave and stroboscope!!!
Physics (la physique) demonstrations
From playlist physics
Optimization - Lecture 3 - CS50's Introduction to Artificial Intelligence with Python 2020
00:00:00 - Introduction 00:00:15 - Optimization 00:01:20 - Local Search 00:07:24 - Hill Climbing 00:29:43 - Simulated Annealing 00:40:43 - Linear Programming 00:51:03 - Constraint Satisfaction 00:59:17 - Node Consistency 01:03:03 - Arc Consistency 01:16:53 - Backtracking Search This cours
From playlist CS50's Introduction to Artificial Intelligence with Python 2020
Lecture 17 | MIT 6.832 Underactuated Robotics, Spring 2009
Lecture 17: Stochastic Gradient Descent Instructor: John W. Roberts 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
The Gradient Operator in Vector Calculus: Directions of Fastest Change & the Directional Derivative
This video introduces the gradient operator from vector calculus, which takes a scalar field (like the temperature distribution in a room) and returns a vector field with the direction of fastest change in the temperature at every point. The gradient is a fundamental building block in vec
From playlist Engineering Math: Vector Calculus and Partial Differential Equations
Climbing Walls | How It's Made
With a growing increase in adventure sports, climbing walls have become common sights in gyms, outdoors shops and training centers. See how these mountain-like simulators are created from steel frames to finished product. | http://www.sciencechannel.com/tv-shows/how-its-made/ Watch full e
From playlist How It's Made
Intermediate Green Route #9 Top Rope Rock Climbing filmed with Samsung Galaxy S10e
This is the ninth Green route I've completed at Urban Climb west end. It is the first green I am able to do on the "demo wall". It's a very press-y climb that took me ages to get the moves - it really makes you understand how to push on holds! At Urban Climb West End, the levels are as fo
From playlist Rock Climbing
DeepMind x UCL RL Lecture Series - Policy-Gradient and Actor-Critic methods [9/13]
Research Scientist Hado van Hasselt covers policy algorithms that can learn policies directly and actor critic algorithms that combine value predictions for more efficient learning. Slides: https://dpmd.ai/policygradient Full video lecture series: https://dpmd.ai/DeepMindxUCL21
From playlist Learning resources
Adaptation in changing environments by Kavita Jain
PROGRAM : STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (ONLINE) ORGANIZERS : Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE : 07 December 2020 to 18 December 2020 VENUE :Online 'Fluctuation-and-noise' are themes th
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3prds3p Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.sta
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Enjoy a small collection of explosions from our preliminary tests of the prototype of what is to become Project Stomper.
From playlist Project Stomper Videos