Learning Machines 101

Learning Machines 101

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72 Episodes
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72
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Category: Software How-To
Last Update: 2018-04-25
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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 LM101-073: How to Build a Machine that Learns to Play Checkers (remix) 2018-04-25
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2 LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002) 2018-03-31
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3 LM101-071: How to Model Common Sense Knowledge using First-Order Logic and Markov Logic Nets 2018-02-23
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4 LM101-070: How to Identify Facial Emotion Expressions in Images Using Stochastic Neighborhood Embedding 2018-01-31
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5 LM101-069: What Happened at the 2017 Neural Information Processing Systems Conference? 2017-12-16
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6 LM101-068: How to Design Automatic Learning Rate Selection for Gradient Descent Type Machine Learning Algorithms 2017-09-26
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7 LM101-067: How to use Expectation Maximization to Learn Constraint Satisfaction Solutions (Rerun) 2017-08-21
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8 LM101-066: How to Solve Constraint Satisfaction Problems using MCMC Methods (Rerun) 2017-07-17
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9 LM101-065: How to Design Gradient Descent Learning Machines (Rerun) 2017-06-19
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10 LM101-064: Stochastic Model Search and Selection with Genetic Algorithms (Rerun) 2017-05-15
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11 LM101-063: How to Transform a Supervised Learning Machine into a Policy Gradient Reinforcement Learning Machine 2017-04-20
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12 LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine 2017-03-19
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13 LM101-061: What happened at the Reinforcement Learning Tutorial? (RERUN) 2017-02-23
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14 LM101-060: How to Monitor Machine Learning Algorithms using Anomaly Detection Machine Learning Algorithms 2017-01-23
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15 LM101-059: How to Properly Introduce a Neural Network 2016-12-21
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16 LM101-058: How to Identify Hallucinating Learning Machines using Specification Analysis 2016-11-23
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17 LM101-057: How to Catch Spammers using Spectral Clustering 2016-10-18
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18 LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System Applications 2016-09-20
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19 LM101-055: How to Learn Statistical Regularities using MAP and Maximum Likelihood Estimation (Rerun) 2016-08-16
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20 LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN) 2016-07-25
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