EE-Vibes (Electrical Engineering Lessons)
EEVibes: Learn Digital Logic, Embedded Systems, and Engineering Tools with real-world examples. Master the fundamentals! This channel tackles Linear Algebra, Digital Logic Design, Electronic Devices, Numerical Analysis, and Electromagnetic Field Theory - all the building blocks for electrical engineering success.
Unleash the power of digital design! We explore the logic behind it all with Digital Logic Design, while solidifying the foundation with Linear Algebra and Numerical Analysis. Plus, we'll delve into the fascinating world of Electronic Devices
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EE-Vibes (Electrical Engineering Lessons)
In Timer0 programming, the overflow of the timer triggers which flag in the PIC18?
1 week ago | [YT] | 2
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EE-Vibes (Electrical Engineering Lessons)
Which bit in the T0CON register determines whether a prescaler is assigned to Timer0?
1 week ago | [YT] | 0
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EE-Vibes (Electrical Engineering Lessons)
What does setting the T0CS bit in the T0CON register do?
1 week ago | [YT] | 0
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EE-Vibes (Electrical Engineering Lessons)
Timer0 in PIC18 can operate in which modes?
1 week ago | [YT] | 0
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EE-Vibes (Electrical Engineering Lessons)
Which register is used to control the operation of Timer0 in PIC18?
1 week ago | [YT] | 0
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EE-Vibes (Electrical Engineering Lessons)
What is the primary purpose of Timer0 in PIC18 microcontrollers?
1 week ago | [YT] | 0
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EE-Vibes (Electrical Engineering Lessons)
In order to use 8-bits timing mode, with no prescaler, internal clock source and high to low pulse count increment, the TMR0CON should be loaded with
1 week ago | [YT] | 2
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EE-Vibes (Electrical Engineering Lessons)
10 months ago | [YT] | 5
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EE-Vibes (Electrical Engineering Lessons)
Introduction to Naive Bayes Algorithm
The Naive Bayes algorithm is a simple, probabilistic machine learning method used for classification tasks. It’s based on Bayes’ Theorem, which calculates the probability of an event given prior knowledge. The “naive” part comes from its assumption that features (input variables) are independent of each other, which simplifies computations but may not always hold true in real-world data.
Main Idea Behind Naive Bayes Algorithm
The main idea behind Naive Bayes Algorithm is Bayes Theorem which is based on conditional probability and Bayes theorem.
Conditional Probability and Bayes Theorem
Conditional probability, important concept in probabilistic modeling, allows us to update probabilistic models when additional information is revealed.
Probability of even A given the event B:
eevibes.com/blog/introduction-to-naive-bayes-algor…
10 months ago | [YT] | 1
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EE-Vibes (Electrical Engineering Lessons)
What is the main function of a chopper in power electronics?
1 year ago | [YT] | 17
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