
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ โ โ
In this episode, weโll learn what overfitting is, how to detect it using loss curves, why... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ โ โ
In this episode, we break down how machine learning models learn effectively by splitting... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ โ
This episode explores how categorical data is transformed into usable features for machine le... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ developers.google.com/machine-learning/crash-course
In this episode, we dive into the world of classification in machine learningโexploring how models ma... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ
Before feeding data into a machine learning model, itโs crucial to understand it. This episode wa... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ In this episode, we go beyond accuracy and dive into how to evaluate model performance across all t... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ
In this episode, we break down logistic regressionโa core algorithm used for classification. You'... more
Based on the โMachine Learning โ crash course from Google for Developers:โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ โ https://developers.google.com/machine-learning/crash-courseโ
What drives a machine learning model to learn? In this episode, we explore gradient descent, the ... more
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Each episode focuses on various aspects of artificial intelligence, particularly as they relate to data science and machine learning. Topics covered frequently include model evaluation, data preparation, and the intricacies of machine learning algorithms. The discussions often showcase both theoretical concepts and practical applications, aiming to deepen understanding among listeners who are keen on the intersection of human insight and advanced technology. Noteworthy features include in-depth explorations of current AI challenges, such as model confidence and the importance of clean, quality data, making the series valuable for professionals and enthusiasts alike. The podcast is distinctive in its blend of technical insights with an empha... more
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Human in loop podcasts launched a year ago and published 16 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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