Categories
Machine Learning

Create a publish for project proposal for the topic a survey on “text – image matching” , “image-text recognition” based auto labeling for medical images.

Create a publish for project proposal for the topic A Survey on “TEXT – IMAGE MATCHING” , “image-text recognition” Based Auto Labeling for Medical Images.
– Find peer-review papers from recent 7 years
– From Major CV conference – CVPR, ICCE, ECCV, WACV, BMVC – From Q1, Q2 journals
Attaching an example for the proposal, Please do accordingly

Categories
Machine Learning

– find peer-review papers from recent 7 years

Create a publish for project proposal for the topic A Survey on “TEXT – IMAGE MATCHING” , “image-text recognition” Based Auto Labeling for Medical Images.
– Find peer-review papers from recent 7 years
– From Major CV conference – CVPR, ICCE, ECCV, WACV, BMVC – From Q1, Q2 journals
Attaching an example for the proposal, Please do accordingly

Categories
Machine Learning

The code must be executed on jupyter notebook using numpy without any compilation errors

I need someone who can do that assignment on machine learning. The code must be executed on jupyter notebook using NumPy without any compilation errors

Categories
Machine Learning

– find peer-review papers from recent 7 years

Create a publish for project proposal for the topic A Survey on “TEXT – IMAGE MATCHING” , “image-text recognition” Based Auto Labeling for Medical Images.
– Find peer-review papers from recent 7 years
– From Major CV conference – CVPR, ICCE, ECCV, WACV, BMVC – From Q1, Q2 journals
Attaching an example for the proposal, Please do accordingly

Categories
Machine Learning

I need someone who can do that assignment on machine learning.

I need someone who can do that assignment on machine learning. The code must be executed on jupyter notebook using NumPy without any compilation errors

Categories
Machine Learning

The code must be executed on jupyter notebook using numpy without any compilation errors

I need someone who can do that assignment on machine learning. The code must be executed on jupyter notebook using NumPy without any compilation errors

Categories
Machine Learning

This will support your work in project one, which is due in the next module.

Overview
This assignment will help you get hands-on experience training convolutional neural networks in Keras and using them to make predictions. This will deepen your understanding of neural networks. You will then gain practice considering the ethical and legal implications of this type of technology. This will support your work in Project One, which is due in the next module.
Prompt
Access the Virtual Lab (Apporto) by using the link in the Virtual Lab Access module. It is recommended that you use the Chrome browser to access the Virtual Lab. If prompted to allow the Virtual Lab access to your clipboard, click “Yes”, as this will allow you to copy text from your desktop into applications in the Virtual Lab environment.
Once in the Apporto environment, create a new Jupyter Notebook and configure it using the following naming convention:
__Assignment3.ipynb
Thus, if your name is Jane Doe, please name the submission file “Doe_Jane_Assignment3.ipynb”.
For information on how to navigate the Jupyter environment, review the Jupyter Notebook in Apporto (Virtual Lab) Tutorial.
Read through the “Recognizing CIFAR-10 images with deep learning” example on pages 84–94 of Deep Learning with Keras. Copy the code into your Jupyter Notebook, including the code for a deeper network and data augmentation in your model. Run the code to build a convolutional neural network model that includes a deeper network and data augmentation.
Note: More information about the training and test data sets can be found in the CIFAR-10 and CIFAR-100 Datasets repository.
The algorithm you worked to train can be used to distinguish more realistic images than the hand-written digits example from the previous module. While distinguishing between animals or vehicles may not pose a serious ethical dilemma, it’s important to consider what other types of images an algorithm such as this could be trained on. For example, could such an algorithm eventually be used to distinguish people’s faces? If so, what are the ethical and privacy implications? Create a Markdown cell in your Jupyter Notebook after your code and its outputs. In this cell, analyze the ethical and privacy implications of the algorithm you just created. You are expected to include resources to support your answers, and must include citations for those resources.
Specifically, you must address the following rubric criteria:
Configure the Jupyter Notebook correctly and use the proper naming convention.
Build a convolutional neural network model using a deeper network and data augmentation for CIFAR-10 image data.
Explain how this algorithm could result in ethical and privacy concerns if it were trained on different sets of images.

Categories
Machine Learning

You are trying to decide whether to extend a mortgage to a company for them to buy an office.

Learning Goal: I’m working on a machine learning question and need guidance to help me learn.
1 Concepts of Learning (Ed Tam)
The goal of this question is to get you familiarized with the conceptual taxonomy of different types of machine
learning tasks and to get you thinking about how ML could be applied in real life.
Some common types of machine learning tasks/problems are listed below:
classification
regression
ranking
clustering
conditional probability estimation• density estimation
pattern mining
You are given a list of situations below. Assign one machine learning task from the list above to each situa-
tion below.
The situations are deliberately designed to simulate real-life applications and hence are open-ended. For
each situation, there will be more than one answer that could be appropriate, depending on your interpre-
tation of the data/task. You only have to give ONE reasonable answer for each situation to get
full credit. Please limit any justification/explanation to at most two sentences.
You love betting on horse races. One popular betting mechanism is that if you guess the 1st, 2nd and
3rd place horses in a race correctly, you will win a grand prize. You have features about each horse,
and would like to train a ML algorithm to create bets that would maximize the chances of winning a
grand prize.
You are an astronomer studying galaxies. You have used the James Webb space telescope to collect
10000 images of different galaxies. Galaxies can be of 4 different types: spiral, elliptical, peculiar and
irregular. You hand labelled 100 of these images yourself using your expert knowledge, and you would
like an ML algorithm to distinguish what types of galaxies the remaining images correspond to.
You are a labor economist interested in having an ML algorithm being able to predict individuals’
post-college incomes. You have a dataset on 1000 people, with data on each person’s characteristics
(e.g., educational level, what state they are from) and their starting salary in their first post-college
job.
You are the owner of a restaurant that is famous for your vegetable soup. You are trying to determine
how many pounds of vegetables to buy for next week. If you buy too much, the leftover vegetables go
to waste. If you buy too little, you will run out of vegetables prematurely. You have a database that
contains data about all past weeks (whether there’s a holiday coming up, what the weather is likely to
be, and how many customers you had that week, etc.).
You are a product analyst at Forever 21. You discover that different products sell at drastically
different rates depending on the current fashion trends and the current season. You would like to use
the available sales data to uncover some of the main current trends and correlations between different
clothing products.
You are a UX researcher at a social network company. You are wondering whether the introduction
of a new option will affect how much time users spend watching videos on the platform. In particular,
you would like to learn about how the introduction of this new option will change the mean, kurtosis,
and variance of the video-watch-time distribution. You start collecting data after the new option is
implemented.
Page 2
7.
8.
9.
10.
2
You are a salesperson that needs to pursue a set of customers. You have features about each of them,
and would like to pursue them according to how likely it is that you will make a sale.
You are a mortgage specialist at Fannie Mae. You are trying to decide whether to extend a mortgage
to a company for them to buy an office. You have a model that determines the likelihood of the
company defaulting. You have some newly collected data which shows that the company has had a
steady stream of cash flow for the past 5 years and has never defaulted on any loans before. In light
of this new information, you would like the model to update its estimate of default.
You are a radiologist working on applying ML research in assisting medical diagnosis. In particular,
you would like to develop an ML algorithm that can take in MRI scans of individual patients and
output how likely it is that the patient is suffering from a malignant tumor.
You are a biologist studying the genetic lineage of different species. You have genomic data (a genome
is the collection of all genes/genetic materials present in an organism) on 100 different species, and you
would like group these species according to their “genetic distance” from one another.

Categories
Machine Learning

Learning goal: i’m working on a machine learning case study and need an explanation and answer to help me learn.

Learning Goal: I’m working on a machine learning case study and need an explanation and answer to help me learn.
1. Write the dataset description (around 250 words) based on the assigned topic along with some sample images
Textile Defect Detection, https://www.kaggle.com/datasets/6e98e7fa2ed4166bb1…
2. you can use Dataset Description as a sample in the following article: https://www.mdpi.com/2075-4418/12/7/1607/pdf?version=1656661603) –> This sample format how it is need to be.
(No plagiarism. )

Categories
Machine Learning

Learning goal: i’m working on a machine learning multi-part question and need an explanation and answer to help me learn.

Learning Goal: I’m working on a machine learning multi-part question and need an explanation and answer to help me learn.
I need help with one assignment. Design & Analysis of Computer Algorithms. Need good accuracy on this. thanks.