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Supervised Learning Machine Learning

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Konten disediakan oleh Jim Kunkle. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Jim Kunkle atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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On today's bonus content I cover the predictive type of machine learning, known as “Supervised Learning”.
Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations. Machine learning algorithms can learn from data without being explicitly programmed, and can improve their performance over time by adapting to new data or feedback.
There are different types of machine learning, depending on the nature of the data, the task, and the feedback available. Some of the main types are: Supervised Learning, Unsupervised Learning, Reinforcement Learning.
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  • Email: Jim@JimKunkle.com

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If you found value from listening to this audio release, please add a rating and a review comment. Ratings and review comments on all podcasting platforms helps me improve the quality and value of the content coming from Digital Revolution.
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52 episode

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iconBagikan
 
Manage episode 402144364 series 3544184
Konten disediakan oleh Jim Kunkle. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Jim Kunkle atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Send us a Text Message.

On today's bonus content I cover the predictive type of machine learning, known as “Supervised Learning”.
Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations. Machine learning algorithms can learn from data without being explicitly programmed, and can improve their performance over time by adapting to new data or feedback.
There are different types of machine learning, depending on the nature of the data, the task, and the feedback available. Some of the main types are: Supervised Learning, Unsupervised Learning, Reinforcement Learning.
Contact Digital Revolution

  • "X" Post (formerly Twitter) us at @DigitalRevJim
  • Email: Jim@JimKunkle.com

Follow Digital Revolution On:

If you found value from listening to this audio release, please add a rating and a review comment. Ratings and review comments on all podcasting platforms helps me improve the quality and value of the content coming from Digital Revolution.
I greatly appreciate your support of the revolution!

  continue reading

52 episode

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