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_machine-learning-for-java-developers-its-not-just-the-algorithms.jpg "Learn how to build and run a system that gets smarter over time by learning from data. If you already took a class in machine learning this talk will show you how to translate those skills into a working system. If you don’t know any machine learning you will get a gentle introduction and gain a better understanding for how the data-driven sausage is made.nnThis talk will teach you what goes into building and running a machine learning system, as seen from a Java developer’s perspective. Thi")
⏲ 36 min 7 sec ✓ 17-Sep-2013
_bayes-theorem-the-geometry-of-changing-beliefs.jpg "3Blue1Brown")
⏲ 15 minutes 11 seconds 👁 2.1M
_why-is-probability-important-to-machine-learning.jpg "Intelligent Systems Lab")
⏲ 6 minutes 54 seconds 👁 5.3K
_abysmal-immersive-audio-visual-performance.jpg "Machine Learning Inspired Immersive Performance - Ars Electronica / Linznnhttps://www.behance.net/gallery/62169975/Abysmal-Immersive-Audio-Visual-PerformancennnAbysmal means bottomless; resembling an abyss in depth; unfathomable.nnPerception is a procedure of acquiring, interpreting, selecting, and organizing sensory information. Perception presumes sensing. In people, perception is aided by sensory organs. In the area of AI, perception mechanism puts the data acquired by the sensors to")
⏲ 3 min 39 sec ✓ 09-Mar-2018
_probability-math-for-machine-learning.jpg "Weights u0026 Biases")
⏲ 45 minutes 5 seconds 👁 13.1K
_master-probability-in-data-science-the-ultimate-crash-course-124-part-1-124-campusx.jpg "CampusX")
⏲ 1 hour 34 minutes 6 seconds 👁 11.9K
_joseph-jay-williams-124-perpetually-enhancing-and-personalizing-technology-for-learning-amp-health-behavior-change-124-f.jpg "AbstractnHow can we transform the everyday technology people use into intelligent, self-improving systems? Our group applies statistical machine learning algorithms to analyze randomized A/B experiments and give the most effective conditions to future users. Ongoing work includes comparing different explanations for concepts in digital lessons/problems, getting people to exercise by testing motivational text messages, and discovering how to personalize micro-interventions to reduce stress and im")
⏲ 39 min 19 sec ✓ 24-Feb-2020
_what-probability-theory-is-topic-94-of-machine-learning-foundations.jpg "Jon Krohn")
⏲ 5 minutes 39 seconds 👁 2.3K
_probability-calibration-data-science-concepts.jpg "ritvikmath")
⏲ 10 minutes 23 seconds 👁 14.4K
_data-mining-machine-learning-pedro-domingos-university-of-washington.jpg "Data Mining / Machine Learning nPedro Domingos, University of Washington.nnMachine learning is the automatic discovery of knowledge from data.nnIts use has become widespread in areas ranging from Web search to computational biology. Unfortunately, the types of knowledge that can be discovered by machine learning remain rather limited. Most learning systems start from scratch each time, using only the data, and are unable to take advantage of pre-existing knowledge. The goal of my research is to")
⏲ 19 min 61 sec ✓ 05-Dec-2011
_bayes39-theorem-explained-with-examples.jpg "Ace Tutors")
⏲ 8 minutes 3 seconds 👁 120.1K
_probability-calibration-for-machine-learning-in-python.jpg "NeuralNine")
⏲ 11 minutes 52 seconds 👁 1.6K
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_machine-learning-for-java-developers-its-not-just-the-algorithms.webp "Learn how to build and run a system that gets smarter over time by learning from data. If you already took a class in machine learning this talk will show you how to translate those skills into a working system. If you don’t know any machine learning you will get a gentle introduction and gain a better understanding for how the data-driven sausage is made.nnThis talk will teach you what goes into building and running a machine learning system, as seen from a Java developer’s perspective. Thi")
_bayes-theorem-the-geometry-of-changing-beliefs.webp "3Blue1Brown")
_why-is-probability-important-to-machine-learning.webp "Intelligent Systems Lab")
_abysmal-immersive-audio-visual-performance.webp "Machine Learning Inspired Immersive Performance - Ars Electronica / Linznnhttps://www.behance.net/gallery/62169975/Abysmal-Immersive-Audio-Visual-PerformancennnAbysmal means bottomless; resembling an abyss in depth; unfathomable.nnPerception is a procedure of acquiring, interpreting, selecting, and organizing sensory information. Perception presumes sensing. In people, perception is aided by sensory organs. In the area of AI, perception mechanism puts the data acquired by the sensors to")
_probability-math-for-machine-learning.webp "Weights u0026 Biases")
_master-probability-in-data-science-the-ultimate-crash-course-124-part-1-124-campusx.webp "CampusX")
_joseph-jay-williams-124-perpetually-enhancing-and-personalizing-technology-for-learning-amp-health-behavior-change-124-f.webp "AbstractnHow can we transform the everyday technology people use into intelligent, self-improving systems? Our group applies statistical machine learning algorithms to analyze randomized A/B experiments and give the most effective conditions to future users. Ongoing work includes comparing different explanations for concepts in digital lessons/problems, getting people to exercise by testing motivational text messages, and discovering how to personalize micro-interventions to reduce stress and im")
_what-probability-theory-is-topic-94-of-machine-learning-foundations.webp "Jon Krohn")
_probability-calibration-data-science-concepts.webp "ritvikmath")
_data-mining-machine-learning-pedro-domingos-university-of-washington.webp "Data Mining / Machine Learning nPedro Domingos, University of Washington.nnMachine learning is the automatic discovery of knowledge from data.nnIts use has become widespread in areas ranging from Web search to computational biology. Unfortunately, the types of knowledge that can be discovered by machine learning remain rather limited. Most learning systems start from scratch each time, using only the data, and are unable to take advantage of pre-existing knowledge. The goal of my research is to")
_bayes39-theorem-explained-with-examples.webp "Ace Tutors")
_probability-calibration-for-machine-learning-in-python.webp "NeuralNine")
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