A shuffling machine is a machine for randomly shuffling packs of playing cards. Because standard shuffling techniques are seen as weak, and in order to avoid "inside jobs" where employees collaborate with gamblers by performing inadequate shuffles, many casinos employ automatic shuffling machines to shuffle the cards before dealing. These machines are also used to reduce repetitive motion stress injuries to a dealer. Shuffling machines have to be carefully designed, as they can generate biased shuffles otherwise: the most recent shuffling machines are computer-controlled. The randomness or otherwise of cards produced from automatic shuffling machines is the subject of considerable interest to both gamblers and casinos. Shuffling machines come in two main varieties: continuous shuffling machines (CSMs), which shuffle one or more packs continuously, and batch shufflers or automatic shuffling machines (ASMs), which shuffle an entire single pack in a single operation. Batch shufflers are more expensive, but can avoid the problems associated with some continuous shufflers, whereby the shuffling operation only slowly changes the state of the deck, and new cards may be taken before shuffling has sufficiently randomized the pack, allowing some players to "shuffle track" cards through the shuffling process. A widely reported, but unpublished, study by Persi Diaconis and Susan Holmes in 2000 resulted in the redesign of many shuffling machines. SIAM News later published a reasonably detailed discussion of its results. (Wikipedia).
A simple gears mechanism moving a frame structure. Used in robot toys. Free 3D model at https://skfb.ly/o6X7q.
From playlist Walking Machines
Walking Robot Mechanism 3D Model
A simple walking machine, used to teach kinematics. It uses 4-bars mechanisms to create the movements. Free 3D model at https://skfb.ly/onQMo.
From playlist Walking Machines
Mechanical Writing Machine | No Computer
I was so intrigued and impressed with this handwriting robotic hand that operates without any computer chips. It uses 3 discs to push and pull the hand to make it draw. I had to 3d printed my own discs to try out. Overall, I was really impressed so I wanted to make a video to share what th
From playlist DIY
Simple Machines (1 of 7) Pulleys; Defining Forces, Distances and MA
For the pulley simple machine this video defines the terms input and output force, input and output distance and mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mechanis
From playlist Mechanics
Four-Legs Walking-Machine 3D Model
Based on this site: (http://www.armure.ch/WALKING.htm). Modeled with Solidworks 2015. Rendered with Simlab Composer 7 Mechanical Edition.
From playlist Walking Machines
Simple Machines (4 of 7) Pulleys; Calculating the Amount of Work Done
For the pulley simple machine shows how to calculate the amount of work done when raising an object and why simple machines do not make your work easier! A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as th
From playlist Mechanics
Shuffling Extra Footage (2/3) - Persi Diaconis
See full description for all links to videos and papers (and other stuff). This film features Professor Persi Diaconis from Stanford University. Main video: https://youtu.be/AxJubaijQbI Extras 1/3: https://youtu.be/1jfm42Qd7Qw Extras 2/3 (this video): http://youtu.be/c_Hunaf0tWw Extras 3/3
From playlist Persi Diaconis on Numberphile
Simple Machines (2 of 7) Pulleys; Calculating Distances, Forces, MA, Part 1
For the pulley simple machine shows how to calculate the input and output distances, the input and output forces and mechanical advantage. A simple machine is a mechanical device that changes the direction and the magnitude of a force. In general, they can be defined as the simplest mech
From playlist Mechanics
BRIDGEPORT MILLING MACHINE Removing the Head
TUBALCAIN---Here's how to remove the head from your BRIDGEPORT without your wife's reluctant help. Then You can make your repairs. Watch for my upcoming video on how to indicate the head to true zero.
From playlist BRIDGEPORT MILL
So it's been almost 2 years since I said the random-number-machine follow-up video was coming "soon", and it's finally time! (Combined with a fun bit of math regarding perfect shuffles in reply to a fascinating Matt Parker video) If you take a histogram of the wait times between geiger tu
From playlist Prob and Stats
Shuffle your dataset when using cross_val_score
If you use cross-validation and your samples are NOT in an arbitrary order, shuffling may be required to get meaningful results. Use KFold or StratifiedKFold in order to shuffle! π New tips every TUESDAY and THURSDAY! π π₯ Watch all tips: https://www.youtube.com/playlist?list=PL5-da3qGB5I
From playlist scikit-learn tips
Scikit Learn Machine Learning Tutorial for investing with Python p. 15
In this machine learning tutorial video, we cover how to randomize/shuffle our data for better results. sample code: http://pythonprogramming.net http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
From playlist Scikit-learn Machine Learning with Python and SKlearn
Ray Kurzweil - What Things are Conscious?
Consciousness is the great mystery of inner awareness. Click here for more interviews with Ray Kurzweil http://bit.ly/19H84ys Click here for more interviews on what things are conscious http://bit.ly/1jsDVZo Click here to buy episodes and complete seasons of Closer To Truth http://bit.l
From playlist Closer To Truth - Ray Kurzweil Interviews
How To Do Sentiment Analysis With Python NLTK | Session 07 | #datascience | #python | #programming
Donβt forget to subscribe! In this project, you will learn to do sentiment analysis with python NLTK. You'll learn how to use Python's NLTK language processing toolkit and through it not only how it's used by professionals on a day-to-day basis with clear and concise explanations of an e
From playlist Sentiment Analysis With Python NLTK
Shuffling Extra Footage (1/3) - Persi Diaconis
See full description for all links to videos and papers (and other stuff). This film features Professor Persi Diaconis from Stanford University. Main video: https://youtu.be/AxJubaijQbI Extras 1/3 (this video): https://youtu.be/1jfm42Qd7Qw Extras 2/3: http://youtu.be/c_Hunaf0tWw Extras 3/3
From playlist Persi Diaconis on Numberphile
Applied ML 2020 - 03 Supervised learning and model validation
Class materials: https://www.cs.columbia.edu/~amueller/comsw4995s20/
From playlist Applied Machine Learning 2020
Faster Neural Network Training with Data Echoing (Paper Explained)
CPUs are often bottlenecks in Machine Learning pipelines. Data fetching, loading, preprocessing and augmentation can be slow to a point where the GPUs are mostly idle. Data Echoing is a technique to re-use data that is already in the pipeline to reclaim this idle time and keep the GPUs bus
From playlist Papers Explained
Lecture 11.4 β Using stochastic units to improve search [Neural Networks for Machine Learning]
Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. Link to the course (login required): https://class.coursera.org/neuralnets-2012-001
From playlist [Coursera] Neural Networks for Machine Learning β Geoffrey Hinton
A Question Of Balance Wooden Toy 3D Model
Modeled and rendered with Solidworks.
From playlist Marble Machines