Tag Archives: supervised learning

LM101-079: Ch1: How to View Learning as Risk Minimization

Episode Summary: This particular podcast covers the material in Chapter 1 of my new (unpublished) book “Statistical Machine Learning: A unified framework”. In this episode we discuss Chapter 1 of my new book, which shows how supervised, unsupervised, and reinforcement learning algorithms can be viewed as special cases of a general empirical risk minimization framework. This is useful… Read More »

LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine

LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine Episode Summary: This 62nd episode of Learning Machines 101 discusses how to design reinforcement learning machines using your knowledge of how to build supervised learning machines! Specifically, we focus on Value Function Reinforcement Learning Machines which estimate the unobservable total penalty associated with… Read More »

LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning [Rerun]

LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning [Rerun] Episode Summary: In this episode we describe how to download and use free nonlinear machine learning software for implementing a Perceptron learning machine with a single layer of Radial Basis Function hidden units for the purposes of supervised learning. Show Notes: Welcome to the 51st podcast… Read More »

LM101-050: How to Use Linear Regression Software to Make Predictions (RERUN)

LM101-050: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN] Episode Summary: In this episode we describe how to download and use free linear machine learning software to make predictions for classifying flower species using a famous machine learning data set. This is a RERUN of Episode 13. Show Notes: Hello everyone! Welcome to… Read More »

LM101-049: How to Experiment with Lunar Lander Software

LM101-049: How to Experiment with Lunar Lander Software Episode Summary: In this episode we continue the discussion of learning when the actions of the learning machine can alter the characteristics of the learning machine’s statistical environment. We describe how to download free lunar lander software so you can experiment with an autopilot for a lunar lander module that… Read More »

LM101-025: How to Build a Lunar Lander Autopilot Learning Machine (adaptive control)

LM101-025: How to Build a Lunar Lander Autopilot Learning Machine (adaptive control) Episode Summary: In this episode we consider the problem of learning when the actions of the learning machine can alter the characteristics of the learning machine’s statistical environment. We illustrate the solution to this problem by designing an autopilot for a lunar lander module that learns… Read More »

LM101-020: How to Use Nonlinear Machine Learning Software to Make Predictions

Episode Summary: In this episode we describe how to download and use free nonlinear machine learning software which is more advanced than the linear machine software introduced in Episode 13. Show Notes: Hello everyone! Welcome to the twentieth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is to discuss important concepts… Read More »

LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)

Episode Summary: In this episode we describe how to build a machine that can learn any given pattern of inputs and generate any desired pattern of outputs when it is possible to do so! Show Notes: Hello everyone! Welcome to the fifteenth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is… Read More »

LM101-014: How to Build a Machine that Can Do Anything (Function Approximation)

Episode Summary: In this episode we describe how to build a machine that can take any given pattern of inputs and generate any desired pattern of outputs! Show Notes: Hello everyone! Welcome to the fourteenth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is to discuss important concepts of artificial intelligence… Read More »

LM101-013: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)

Episode Summary: In this episode we describe how to download and use free linear machine learning software to make predictions for classifying flower species using a famous machine learning data set. Show Notes: Hello everyone! Welcome to the thirteenth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is to discuss important… Read More »