Learning Machines 101
A podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
Categorie:
85 Episodio
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LM101-066: How to Solve Constraint Satisfaction Problems using MCMC Methods (Rerun)
Pubblicato: 17/7/2017 -
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)
Pubblicato: 19/6/2017 -
LM101-064: Stochastic Model Search and Selection with Genetic Algorithms (Rerun)
Pubblicato: 15/5/2017 -
LM101-063: How to Transform a Supervised Learning Machine into a Policy Gradient Reinforcement Learning Machine
Pubblicato: 20/4/2017 -
LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine
Pubblicato: 19/3/2017 -
LM101-061: What happened at the Reinforcement Learning Tutorial? (RERUN)
Pubblicato: 23/2/2017 -
LM101-060: How to Monitor Machine Learning Algorithms using Anomaly Detection Machine Learning Algorithms
Pubblicato: 23/1/2017 -
LM101-059: How to Properly Introduce a Neural Network
Pubblicato: 21/12/2016 -
LM101-058: How to Identify Hallucinating Learning Machines using Specification Analysis
Pubblicato: 23/11/2016 -
LM101-057: How to Catch Spammers using Spectral Clustering
Pubblicato: 18/10/2016 -
LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System Applications
Pubblicato: 20/9/2016 -
LM101-055: How to Learn Statistical Regularities using MAP and Maximum Likelihood Estimation (Rerun)
Pubblicato: 16/8/2016 -
LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)
Pubblicato: 25/7/2016 -
LM101-053: How to Enhance Learning Machines with Swarm Intelligence (Particle Swarm Optimization)
Pubblicato: 11/7/2016 -
LM101-052: How to Use the Kernel Trick to Make Hidden Units Disappear
Pubblicato: 13/6/2016 -
LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning[Rerun]
Pubblicato: 24/5/2016 -
LM101-050: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN]
Pubblicato: 4/5/2016 -
LM101-049: How to Experiment with Lunar Lander Software
Pubblicato: 22/4/2016 -
LM101-048: How to Build a Lunar Lander Autopilot Learning Machine (Rerun)
Pubblicato: 29/3/2016 -
LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)
Pubblicato: 14/3/2016
Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
