all details in the file
The homework need to use virtual machine and Ubuntu so i need expert for this task + must take screenshot and documenting each step and command you execute, along with providing explanations and annotations for clarity.
It is essential that you are proficient in the subject matter to ensure accuracy and thoroughness in your work. Additionally, please ensure that each step is captured visually through screenshots or screen recordings, and that you include any notes or observations related to the actions taken.
+ add References , don’t use chat gpt to answer the question.
Note : the screenshot for every steps is it very important,
Category: Machine Learning
Project Overview:
The project aims to provide trainees with practical experience in deep learning techniques for handwritten digit recognition using the MNIST dataset. Trainees will explore various aspects of deep learning, including model design, hyperparameter tuning, addressing overfitting, feature transformation, and visualization techniques.
Group members: Maximum three members allowed
Dataset: MNIST Dataset
The MNIST dataset is a well-known benchmark dataset in the field of machine learning, consisting of 28×28 pixel grayscale images of handwritten digits (0 to 9).
Dataset Link: http://yann.lecun.com/exdb/mnist/
Project Overview:
The project aims to provide trainees with practical experience in deep learning techniques for handwritten digit recognition using the MNIST dataset. Trainees will explore various aspects of deep learning, including model design, hyperparameter tuning, addressing overfitting, feature transformation, and visualization techniques.
Group members: Maximum three members allowed
Dataset: MNIST Dataset
The MNIST dataset is a well-known benchmark dataset in the field of machine learning, consisting of 28×28 pixel grayscale images of handwritten digits (0 to 9).
Dataset Link: http://yann.lecun.com/exdb/mnist/
Uploaded are the original file for the assignment as well as a written code for possible solution you could revise it or rewrite a new code from you just follow the guidelines in the original file Thank you for your help
You have to write 5 to 7 lines (Time New Roman Font size 12) against each review article (at least 14 articles) that you have selected as project part 1 which will include mainly the following points:
the topic of the article
focused method or proposed method
Used Dataset for experiments
result (Accuracy)
Benefits and issues of the proposed method (Pros/cons)
You must need to make sure that your writing does not include any plagiarism, does not use of generative AI, need to have proper grammar, and is relevant to your topic.
You are going to continue using the previously submitted document and include part 2 also in same document.
Example:
Review Articles:
In [1], the authors presented an algorithm for identification using multiclass classification based on shape, color, volume and cell feature. A three-stage comparison was performed. The first stage consists of comparing the redness, greenness, and blueness index feature. Second stage compares the shape feature and finally the last stage compares cell feature and volume fraction feature. The experiment are performed on a total of 1000 flower and leaf images. The accuracy achieved is 85% on an average. The dataset used for experiments is not balanced.
In [2], the authors presented an algorithm for identification using multiclass classification based on shape, color, volume and cell feature. A three-stage comparison was performed. The first stage consists of comparing the redness, greenness, and blueness index feature. Second stage compares the shape feature and finally the last stage compares cell feature and volume fraction feature. The experiment is implemented on a total of 1000 flower and leaf images. The accuracy achieved is 85% on an average.
References:
[1]. Iqbal, D., Abbas, A., Ali, M., Khan, M. U. S., & Nawaz, R. (2020). Requirement validation for embedded systems in automotive industry through modeling. IEEE Access, 8, 8697-8719.
[2].Rahim, M. A., Rahman, M. A., Rahman, M. M., Asyhari, A. T., Bhuiyan, M. Z. A., & Ramasamy, D. (2021). Evolution of IoT-enabled connectivity and applications in automotive industry: A review. Vehicular Communications, 27, 100285.
THERE ARE 5 ARTICLES ALREADY IN THE UPLOADED FILE, YOU JUST NEED 9 MORE AND WRITE AN ARTICLE REVIEW WITH THE BULLTER POINTS. THE ARTICLE REVIEW FOR EACH POINT SHOULD BE AT LEAST 5 LINES LONG
one page reading response on the following:
Automated Learning for Multivariate Diffusions
WaveNet
Stochastic Propagation and Approximate Inference in Deep Generative Models
You can summarize, or focus and explain the part(s) that you enjoyed reading more in detail. You’re allowed a maximum of one page. No outside resources. Use first person point of view.
My problem statement is In the face of ever-evolving malware, cybersecurity demands robust solutions that can effectively detect and predict malicious activities. While traditional methods have limitations, deep learning offers promising advancements. However, there is a need for a comparative study on the efficacy of various deep learning architectures, including Multi-Layer Perceptron (MLP) classifiers, in conjunction with powerful frameworks like TensorFlow and Keras, for malware detection and prediction. The study aims to implement and evaluate the performance of these models against benchmarks, focusing on the ability to handle complex patterns and adapt to changing malware characteristics. Utilizing a combination of static and dynamic analysis, the project will explore feature extraction and representation learning to optimize model performance. The ultimate goal is to develop a versatile and scalable system that can dynamically update its detection capabilities to counteract emerging malware threats.
I need complete project while involves providing dataset files,csv files, methodology, dataset preparation,preprocessing, features extraction,ppts, discussions, and conclusions. Provide programming code for the problem statement
I will provide sample files and links please follow it and complete the project
My idea in my research is to develop a browser extension that examines the entire content of emails to detect potential phishing emails and alert users in real-time about suspicious or malicious emails, then evaluate the efficacy of the extension using machine learning model metrics such as True Positive, True Negative, Accuracy, and Rate Score to assess its effectiveness in optimizing phishing detection features and ensuring user-friendliness.
So I would like to ask for your assistance in preparing the ‘backgrounds’ section for the research paper “IEEE” as the attachment file.
backgrounds can be used to refer to the fundamental and historical information that the reader needs to understand before delving into the reading or study of previous research (related work). This information may include basic concepts, an overview of the field, the history of research in the field, and any significant developments that have occurred.
I need from you to add this things in the background:
+details about machine learning techniques, including deep learning and other types.
Explain also the process like select the model then dataset and trainings and testing methodology that people use in machine learning +details about email and what the vulnerabilities of emails and how analysis the header such as header has important information and what the vulnerability.
Also use academic word,and but reverence about research papers that use it.