Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
A prediction model is going to be built for in-line quality assurance in a factory that manufactures electronic components for the automotive industry. The system will be integrated into the factory's production line and determine whether components are of an acceptable quality standard based on a set of test results. The prediction subject is a component, and the descriptive features are a set of characteristics of the component that can be gathered on the production line. The target feature is binary and labels components as good or bad. It is extremely important that the system not in any way slow the production line and that the possibility of defective components being passed by the system be minimized as much as possible. Furthermore, when the system makes a mistake, it is desirable that the system can be retrained immediately using the instance that generated the mistake. When mistakes are made, it would be useful for the production line operators to be able to query the model to understand why it made the prediction that led to a mistake. A large set of historical labeled data is available for training the system.
a. Discuss the different issues that should be taken into account when evaluating the suitability of different machine learning approaches for use in this system.
b. For this task, discuss the suitability of the decision tree, k nearest neighbor, naive Bayes, and logistic regression models. Which one do you think would be most appropriate?
Characterize the environment as being accessible, deterministic, episodic, static, and continuous or not. What agent architecture is best for this domain?
The energy (power) in Watts in an electrical circuit is described by P = VI, where V is volts and I is current
Neglecting losses, determine the power that can be developedfrom Niagara Falls, which has an average height of 168 ft and over which the water flows at 500,000 tons per minute.
Given a circular aperture transmit antenna with efficiency of 0.7 operating at 10 GHz and having a diameter of 1.5 m. Find its maximum gain.
can u solve the attached file????????? ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt ltbrgt
A torque of 10 N.m is applied to a uniform disk shaped flywheel. The flywheel has a mass of 20kg and a radius of 0.5m. At t=0, the flywheel is at rest. How much energy is stored in the flywheel at the end of 20 sec
Consider the MOSFET feedback amplifier shown in given Figure. -Determine the small-signal voltage gain Av = vo/vi.
What are the filter gains for the stopband at the cut-off frequency and 500 Hz, and passband at 3000 Hz based on the plot of the magnitude frequency response. Print the highpass IIR filter coefficients and plot the frequency responses using MATLAB..
Consider a unity feedback control system with plant transfer function G(s) and controller transfer function Gc(s). (a) If the phase margin and crossover frequency are adequate but you need to increase the error constant.
What frequency must be used for basis symbols f1 = sin(pi*ct) and f2 = cos(pi*ct) with a symbol period of 1/(9600Hz) to contain 6 cycles of the sin and cos
write a paper on orthogonal frequency-division multiplexing with advantages disadvantages and uses.the format
What kind of finite state machine is this: Using a procedure by inspection can you state which sequences does this circuit detect? (current bit goes last) Develop the State Table for this circuit. Label all columns
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd