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An entrepreneur channel created by Serial Entrepreneur, Patrick Bet-David. Valuetainment is referred to as the best channel for entrepreneurs with weekly How To's, Motivation and interviews with unique individuals. About PBD: During the Iranian Revolution of 1978, Patrick's family had to escape to survive and ended up living at a refugee camp in Erlangen, Germany. At 12 years old Patrick found himself collecting cans & beer bottles to raise money that could help his family and get him a Nint ...
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models. Accordingly several methods ...
 
DJ Sam Basefeld's Mix From Mars - MashUp DJ Mixes :: About Sam Basefeld: DJ for Mashup, EDM, House, Deep- & Tech-House, Electro- & Progressive-House and Rock - since 1999 :: All mixes & podcasts are for promotion only. Please support the artists you like and buy their music. :: For more info check: www.facebook.com/basefeld :: For booking contact: booking@basefeld.de :: Credentials: CUE Nightlife (Höchstadt), UnfassBar (Erlangen) Resident, Diskothek Peak (Erlangen), Diskothek Puls (Höchstadt ...
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
Deep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises: (multilayer) perceptron, backpropagation, fully connected neural networks loss functions and optimization strategies convolutional neural networks (CNNs) activation functions regularization strategies common practic ...
 
This lecture complements (and builds on top of) the lectures "Introduction to Pattern Recognition" and "Pattern Recognition". In this third edition, we focus on modeling of densities, and how to use these models for analyzing the data. Major topics of this lecture are regression, density estimation, manifold learning, hidden Markov models, conditional random fields, and random forests. The lecture is accompanied by exercises, where theoretical results are practically implemented and applied.
 
This lecture first supplement the methods of preprocessing presented in Pattern Recognition 1 by some operations useful for image processing. In addition several approaches to image segmentation are shown, like edge detection, recognition of regions and textures and motion computation in image sequences. In the area of speech processing approaches to segmentation of speech signals are discussed as well as vector quantization and the theory of Hidden Markov Models. Accordingly several methods ...
 
Since the turn of the millennium, the awareness in liberal democratic societies has grown that religion cannot simply be regarded as a private matter, but that it has an indispensable public dimension. Unfortunately, the religious context of terrorism and of violent conflicts have more strongly reinforced this awareness than the many positive, constructive contributions by religions to the common good. There is also an increasing appreciation, however, of how much liberal democratic societie ...
 
Since the turn of the millennium, the awareness in liberal democratic societies has grown that religion cannot simply be regarded as a private matter, but that it has an indispensable public dimension. Unfortunately, the religious context of terrorism and of violent conflicts have more strongly reinforced this awareness than the many positive, constructive contributions by religions to the common good. There is also an increasing appreciation, however, of how much liberal democratic societie ...
 
Deep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises: (multilayer) perceptron, backpropagation, fully connected neural networks loss functions and optimization strategies convolutional neural networks (CNNs) activation functions regularization strategies common practic ...
 
Have you ever wondered about the mysterious "collapse of the wave function" or the "wave-particle duality"? Does Schrödinger´s cat make you uneasy? Do you have a feeling that there could be a deeper, more ´microscopic´ theory underlying Quantum Mechanics? Do you believe that trajectories are ruled out by Quantum Mechanics? Are you confused by the concept of spin or by fermions vs. bosons? Do you want to learn how the founding fathers´ "Gedankenexperiments" are now routinely realized in the l ...
 
The Nuremberg Moot Court (nuremberg-moot.de) takes place every year. The competition aimes to encourage university students to become familiar with International Criminal Law by arguing a fictitious case in front of the "International Criminal Court". At the same time, it promotes the fundamental heritage of the Nuremberg Trials: criminal accountability within armed conflicts in keeping with the spirit of Human Rights and governed by the principle of fair trial as enshrined in the ICCPR in p ...
 
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Patrick Bet-David shares why it's important to always use the right call to action in multiple aspects of life. Subscribe for weekly videos http://bit.ly/2aPEwD4 Order Patrick's new book to learn more about Strategy in business. Order "Your Next Five Moves" now! https://bit.ly/2Y48POF. Share your thoughts with Patrick Bet-David on Twitter https://w…
 
Patrick Bet-David sits down with Contagious author and New York Times Best Seller Jonah Berger to discuss viral marketing. Subscribe http://bit.ly/2aPEwD4 About the guest: Jonah Berger is a professor at the Wharton School of the University of Pennsylvania. He is an expert on word of mouth, viral marketing, social influence, and how products, ideas,…
 
Chinese whistleblower virologist, Li-Meng Yan, has a virtual sit down with Patrick Bet-David to talk about China's handling of the Coronavirus. Li-Meng Yan claims the virus was developed in a government laboratory in Wuhan with the knowledge of the Chinese government. For this reason Li-Meng Yan has come to the United States, where she claims she h…
 
In this video, Patrick Bet-David talks about missed business opportunities. He opens by telling a story of his days as a manager at Bally Total Fitness. His team found themselves struggling to sell memberships, which led Bet-David to ask them the following question. “How many of the nearly 100 people working out right now know you by name?” They sa…
 
Patrick Bet-David sits down with Euna Lee to talk about her experience as a prisoner in North Korea. Lee highlights her time in prison under the North Korean regime and the stark contrast of being there one day and with President Bill Clinton on a flight to the United States the next day. Lee also explains she is cautious about her message and deli…
 
In this video Patrick Bet-David sits down with Dr. Thomas S. Cowen to discuss his newest book "The Contagion Myth: Why Viruses (including "Coronavirus") Are Not the Cause of Disease." Dr. Cowen undertook the task of breaking down the origins of the theory of contagion and through his research came to the conclusion that the theory is unfound. Dr. C…
 
Patrick Bet-David sits down with Allan Lichtman who has correctly predicted each presidential election since 1984 to talk about the 2020 election. In this clip they talk why he is predicting that Trump will lose in 2020. Connect with him on twitter: https://twitter.com/AllanLichtman Order his book "The Keys to the White House" :https://amzn.to/3jHm…
 
I’m Excited for the Future - This is Why. A message from Patrick Bet-David. Subscribe for weekly videos http://bit.ly/2aPEwD4 Share your thoughts with Patrick Bet-David by texting 310.340.1132 or send a tweet to https://www.twitter.com/patrickbetdavid To reach the Valuetainment team you can email: info@valuetainment.com Follow Patrick on social med…
 
DK Yoo explains his story: After surviving a major surgery at the age of 10, I endured frequent bouts of illness and pain. Through daily meditation and breathing exercises which strengthened my immune system, I was eventually able to overcome this suffering. I further strengthened myself with intensive training in various martial arts and deepened …
 
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