Learning Machines 101

Learning Machines 101

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Category: Software How-To
Last Update: 2017-09-26
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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 which will be addressed in the podcast series Learning Machines 101.

1 LM101-068: How to Design Automatic Learning Rate Selection for Gradient Descent Type Machine Learning Algorithms 2017-09-26
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2 LM101-067: How to use Expectation Maximization to Learn Constraint Satisfaction Solutions (Rerun) 2017-08-21
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3 LM101-066: How to Solve Constraint Satisfaction Problems using MCMC Methods (Rerun) 2017-07-17
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4 LM101-065: How to Design Gradient Descent Learning Machines (Rerun) 2017-06-19
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5 LM101-064: Stochastic Model Search and Selection with Genetic Algorithms (Rerun) 2017-05-15
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6 LM101-063: How to Transform a Supervised Learning Machine into a Policy Gradient Reinforcement Learning Machine 2017-04-20
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7 LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine 2017-03-19
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8 LM101-061: What happened at the Reinforcement Learning Tutorial? (RERUN) 2017-02-23
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9 LM101-060: How to Monitor Machine Learning Algorithms using Anomaly Detection Machine Learning Algorithms 2017-01-23
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10 LM101-059: How to Properly Introduce a Neural Network 2016-12-21
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11 LM101-058: How to Identify Hallucinating Learning Machines using Specification Analysis 2016-11-23
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12 LM101-057: How to Catch Spammers using Spectral Clustering 2016-10-18
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13 LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System Applications 2016-09-20
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14 LM101-055: How to Learn Statistical Regularities using MAP and Maximum Likelihood Estimation (Rerun) 2016-08-16
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15 LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN) 2016-07-25
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16 LM101-053: How to Enhance Learning Machines with Swarm Intelligence (Particle Swarm Optimization) 2016-07-11
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17 LM101-052: How to Use the Kernel Trick to Make Hidden Units Disappear 2016-06-13
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18 LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning[Rerun] 2016-05-24
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19 LM101-050: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN] 2016-05-04
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20 LM101-049: How to Experiment with Lunar Lander Software 2016-04-22
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