#AI-100 Dumps Question Answers
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luckykiwiii101 · 6 months ago
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why arent you answering anymore asks that are not success stories? sorry i dint want to come off as rude or anything but wouldnt answering advice be better that just responding to success stories. thats lowkey just confirmation bias (search it up).
Oh? I thought it was obvious. Why would I respond to a bunch of asks asking me “how do I assume 🥺” “how do I persist 🥺” “can I manifest…🥺” when I literally spend hours making posts addressing all of these questions people are asking. Why would I want to constantly repeat myself because some people don’t want to learn to read and would prefer to treat me like AI ready for them whenever they want. And i’ve said this many times before.
I’m not going to take sweet time out of my day to slave away conjuring up responses to these essay lengths asks trauma dumping on me victimising themselves. When i’ve given them all the information they could possibly need yet they still want more.
It’s not confirmation bias at all. I’m not trying to reinforce my beliefs on the law of assumption. I already 100% believe in it. I only answer success stories because it shows people who have actually applied the law and gave themselves what they wanted. People who refuse to read my posts and expect me to respond to their asks with a full guide on the law of assumption don’t deserve my attention. So why would I waste my time on them?
Do you forget that there’s a living, breathing person behind this blog? I simply do NOT have the time for this.
p.s. I will also not be responding to success stories such as “I manifested pizza” or “I manifested free coffee.” I’m not invalidating those successes or labelling them as small. There is no such thing as big or small. But I want to post success stories that demonstrate a big change in people’s lives. Don’t take it as an offense please.
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hyperfixatedonthings · 5 months ago
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Getting ready to do a Pluto rewatch and I'm watching some of the last BTS videos. Tell me why it took seeing this:
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For me to understand that Oom has some real CPTSD.
**Spoilers for Ep 11 below 👇**
I'm not sure the order things were filmed. If NT shot the Ai-oon stuff second like the video makes it seem then, I find the above moment really interesting.
When I first watched the episode I of course was sad for Oom. But it was always from the perspective of "she just had so much information dumped on her and, she has not had a chance to grieve." I mean the girl just woke up from a coma and found out:
She was married
Her new husband died (in a car accident of all things!! With her being the only survivor, just like with her parents)
Her sister has been pretending to be her...again (don't forget that she's been beat up at least once because of Ai doing this)
Her sister has been pretending to be her w/ her girlfriend.
Said girlfriend is blind now.
Your sister is being nice to you. (Basically you're closer then when you went into the coma)
Your sister is also acting suspicious/weird when it comes to May.
That's all separate from the fact that Oom just learned that May and Ai-oon fell in love!
Any of that would be a lot on its own. It makes COMPLETE SENSE that Oom was searching for a good memory but wanted it to be with May. Her irrational mind may (haha..pun) have been trying to recreate the proposal but have May choose her. At least that's what I'm going with for now.
Which kind of answers a question I had during my initial watch, what did Oom take May to that river?
Don't ask me why this hit me when I saw NT swaying sadly on this cart. idk why.
I remember seeing discussions at the time about Oom having Borderline Personality Disorder (BPD). That never made 100% sense to me. More like 75%. I could see it but, could not justify it with her past behavior. CPTSD makes perfect sense when you consider she might also have survivors guilt also. Especially considering this is the second fatal crash she has been able to walk away from. It also explains her selfishness in this moment and her ominous comment about the water. She probably thinks that her life is limited and thinks she could die at any moment. Forcing Ai to choose could have felt a bit like making a "dying wish".
Anyway TL;DR: I love this show!! You can tell that sooo much love, heart, care and, effort went into it. Oom had her reasons for forcing The Choice ™ and, I'm glad I did not write her off like I wanted to originally.
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ask-ikevamp-faust · 11 months ago
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Rules/Boundaries // revise finished
Warning MDNI: Ikemen Vampire has mature themes, therefore this blog will also feature mature content. This is a role play blog. The character “Johann Georg Faust” belongs to Cybird. That being said, I am a REAL person. There is no AI. I’ll be doing my best to act out a character. 
I have read his route. My responses will be based on how I interpret the character.
I do not speak his native languages so I will not use it.
I will always answer in character unless you ask otherwise.
If you wish to direct a message to me either DM me or send your message to the inbox and state the message is for the admin.
I will always do my best to respond in a timely manner. If it’s slow at times it’s because I’m busy with things IRL. 
I'm a college student + work full time
Please keep in mind that longer rp messages (letter form or paragraphs) take longer to respond to vs shorter rp messages.
Please be mindful when phrasing your questions/comments. Use emojis or emphasis/details of any kind to set the tone which you are implying.
You can express dislike of a character or dissatisfaction of certain lore without being rude
Feedback and constructive criticism through DMs are welcomed and appreciated 😊
Alternate universes
This blog takes place in a modern AU. Meaning the characters are living in the modern world.
Each rp interaction and fic will be treated as its own universe.
Addressing rude messages
I will not tolerate rude behavior, hate, or bullying towards myself or others. Questions/comments of this nature will be deleted or reported if necessary. 
If you don't like how things are done here on my blog or can't understand that sometimes life gets busy/unfortunate situations happen that take priority, just unfollow and/or block the blog. There's no need to send me rude messages.
This is a space I want to keep safe and fun for myself and others here. I do not want to block anyone or turn off anon for the inbox, but I will if this issue continues to happen. Be mindful of what you say online. This blog is for entertainment purposes.
If I am ever uncomfortable answering for certain topics, I will make the response private in order to communicate the issue. I don’t have the option for private replies for anonymous. For any issues there I will simply reply with an admin note.
We have fics available now! For more info, go check out the links found in the pinned post
This is a role play blog so role playing is 100% encouraged!
If there’s something specific you’d like to act out, please DM me and I will do it if I’m comfortable.
I am 21+ so NSFW with limitations is allowed. 
Sexual topics: flirting and suggestive questions/comments are okay. Sexual questions/comments can also be educational/informative, I’m comfortable with the topic in such discussions. 
NSFW RP is only available for +18
Anons & NSFW RP: DM me to discuss NSFW RP. You may send in your NSFW RP messages anonymously to the inbox but DMing me is required before this. I will not respond to it if we have not spoken beforehand.
You can be anonymous to the audience on this blog, but you cannot remain anonymous to me for NSFW RP.
How far can the NSFW content go?: I'm keeping it within Cybird's limits. If Cybird published it, it's okay here.
Series I play for NSFW reference: Ikemen Rev/Sen/Vamp/Pri/Vil
I can’t realistically list off every single kink so if you’re curious about a specific philia/kink just send in an ask or DM me about it and I’ll tell you if I’m comfortable
You may ask the character for advice or vent your troubles but do not trauma dump. Please seek professional help if necessary. 
You can @ the blog anywhere and I will respond in character.
I’m okay with crossovers, like reblogs or @ in other Ikemen series ask/roleplay blogs but if the other party is not comfortable then please respect their boundaries.
All other Ikemen series and OC ask/roleplay blogs are welcome to interact with me in the ask box and DMs. I’ll read your rules before answering. We can also coordinate special interactions if you’d like.
If (or when) I ever decide to shut down this blog, I will make a formal announcement so that everyone’s aware.
Have fun and interact with your favs! I enjoy doing this so please don’t hesitate to send something in! 😄💖
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ask-ikevamp-charles · 11 months ago
Text
Rules/Boundaries
Warning MDNI: Ikemen Vampire has mature themes, therefore this blog will also feature mature content. This is a role play blog. The character “Charles-Henri Sanson” belongs to Cybird. That being said, I am a REAL person. There is no AI. I’ll be doing my best to act out a character. 
I have read his route. My responses will be based on how I interpret the character.
I do not speak his native languages so I will not use it.
I will always answer in character unless you ask otherwise.
If you wish to direct a message to me either DM me or send your message to the inbox and state the message is for the admin.
I will always do my best to respond in a timely manner. If it’s slow at times it’s because I’m busy with things IRL. 
I'm a college student + work full time
Please keep in mind that longer rp messages (letter form or paragraphs) take longer to respond to vs shorter rp messages.
Please be mindful when phrasing your questions/comments. Use emojis or emphasis/details of any kind to set the tone which you are implying.
You can express dislike of a character or dissatisfaction of certain lore without being rude
Feedback and constructive criticism through DMs are welcomed and appreciated 😊
Alternate universes
This blog takes place in a modern AU. Meaning the characters are living in the modern world.
Each rp interaction and fic will be treated as its own universe.
Addressing rude messages
I will not tolerate rude behavior, hate, or bullying towards myself or others. Questions/comments of this nature will be deleted or reported if necessary. 
If you don't like how things are done here on my blog or can't understand that sometimes life gets busy/unfortunate situations happen that take priority, just unfollow and/or block the blog. There's no need to send me rude messages.
This is a space I want to keep safe and fun for myself and others here. I do not want to block anyone or turn off anon for the inbox, but I will if this issue continues to happen. Be mindful of what you say online. This blog is for entertainment purposes.
If I am ever uncomfortable answering for certain topics, I will make the response private in order to communicate the issue. I don’t have the option for private replies for anonymous. For any issues there I will simply reply with an admin note.
We have fics available now! For more info, go check out the links found in the pinned post
This is a role play blog so role playing is 100% encouraged!
If there’s something specific you’d like to act out, please DM me and I will do it if I’m comfortable.
I am 21+ so NSFW with limitations is allowed. 
Sexual topics: flirting and suggestive questions/comments are okay. Sexual questions/comments can also be educational/informative, I’m comfortable with the topic in such discussions. 
NSFW RP is only available for +18
Anons & NSFW RP: DM me to discuss NSFW RP. You may send in your NSFW RP messages anonymously to the inbox but DMing me is required before this. I will not respond to it if we have not spoken beforehand.
You can be anonymous to the audience on this blog, but you cannot remain anonymous to me for NSFW RP.
How far can the NSFW content go?: I'm keeping it within Cybird's limits. If Cybird published it, it's okay here.
Series I play for NSFW reference: Ikemen Rev/Sen/Vamp/Pri/Vil
I can’t realistically list off every single kink so if you’re curious about a specific philia/kink just send in an ask or DM me about it and I’ll tell you if I’m comfortable
You may ask the character for advice or vent your troubles but do not trauma dump. Please seek professional help if necessary. 
You can @ the blog anywhere and I will respond in character.
I’m okay with crossovers, like reblogs or @ in other Ikemen series ask/roleplay blogs but if the other party is not comfortable then please respect their boundaries.
All other Ikemen series and OC ask/roleplay blogs are welcome to interact with me in the ask box and DMs. I’ll read your rules before answering. We can also coordinate special interactions if you’d like.
If (or when) I ever decide to shut down this blog, I will make a formal announcement so that everyone’s aware.
Have fun and interact with your favs! I enjoy doing this so please don’t hesitate to send something in! 😄💖
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gts37889 · 3 months ago
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Customized Learning Dataset for AI-Driven Adaptive Educational Systems.
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Introduction:
Datasets for Machine Learning Projects models derive their effectiveness from the quality of the data utilized during training. A dataset of high caliber is essential for the development of precise and efficient machine learning models. Regardless of whether the focus is on supervised learning, unsupervised learning, or reinforcement learning, the selection of an appropriate dataset can profoundly influence the model's overall performance.
This article will examine a variety of datasets suitable for machine learning initiatives, encompassing image datasets, text datasets, tabular datasets, and others. Additionally, we will discuss sources for these datasets, criteria for selecting the most suitable dataset, and best practices for their management.
Significance of Quality Datasets
The dataset is a fundamental component of the machine learning workflow. The following points illustrate the importance of selecting the right dataset:
Model Performance - A well-structured and diverse dataset enables models to learn effectively and generalize to new, unseen data.
Bias and Fairness - Datasets that are of poor quality or exhibit bias can result in predictions that are unfair or inaccurate.
Feature Engineering - High-quality datasets offer significant features that improve the predictive capabilities of models.
Scalability - Datasets that are properly formatted facilitate scalability and adaptability for larger models.
Categories of Datasets
Machine learning datasets can be classified into several types based on their structure and intended use. Below are the most prevalent categories:
1. Image Datasets
These datasets consist of labeled or unlabeled images utilized for tasks such as classification, segmentation, object detection, and generative modeling.
Notable Image Datasets:
MNIST - A dataset for recognizing handwritten digits.
CIFAR-10/100 - A collection of small images for object classification.
ImageNet - A comprehensive image dataset containing millions of labeled images.
COCO - Designed for object detection, segmentation, and captioning tasks.
Open Images Dataset - A dataset featuring annotations for object detection and classification.
2. Text Datasets
Text datasets play a crucial role in natural language processing (NLP) applications, including sentiment analysis, text generation, machine translation, and the development of chatbots.
Notable Text Datasets:
IMDB Reviews - A dataset specifically designed for sentiment analysis.
Wikipedia Dumps - Utilized for language modeling and information retrieval purposes.
Common Crawl - A web crawl dataset that supports various NLP applications.
SQuAD (Stanford Question Answering Dataset) - A dataset aimed at enhancing reading comprehension and question-answering models.
TREC - A dataset focused on information retrieval and ranking tasks
3. Audio and Speech Datasets
Audio datasets are vital for tasks such as speech recognition, music generation, and sound classification.
Notable Audio Datasets:
LibriSpeech - A comprehensive corpus of English speech intended for automatic speech recognition (ASR) models.
VoxCeleb - A dataset featuring celebrity speech, used for speaker recognition.
Common Voice (Mozilla) - An open-source multilingual speech dataset.
UrbanSound8K - A dataset designed for classifying sounds in urban settings.
4. Tabular Datasets
Tabular datasets consist of structured data frequently employed in classification, regression, and forecasting tasks.
Notable Tabular Datasets:
Titanic Dataset - A dataset utilized for classification tasks, particularly in predicting survival.
Iris Dataset - A well-known dataset used for clustering and classification purposes
UCI Machine Learning Repository - A diverse collection of datasets catering to various machine learning tasks.
5. Time Series Datasets
Time series datasets are essential for forecasting and analyzing trends across various sectors, including finance, healthcare, and Internet of Things (IoT) applications.
Notable Time Series Datasets:
Yahoo Finance Stock Prices - Utilized for financial modeling and stock market predictions.
COVID-19 Dataset - Provides time series data for the analysis of the pandemic.
Electricity Load Forecasting - A dataset designed for predicting energy demand.
Weather Dataset - Contains meteorological data for various forecasting applications.
6. Reinforcement Learning Datasets
Reinforcement learning (RL) datasets are employed to train agents within both simulated and real-world contexts.
Noteworthy RL Datasets:
OpenAI Gym - A compilation of simulated environments tailored for reinforcement learning.
DeepMind Control Suite - A set of benchmark tasks specifically for reinforcement learning.
MuJoCo - A physics-based simulator utilized in reinforcement learning.
Atari Games Dataset - An RL dataset leveraged to train AI agents in gaming environments.
Best Practices for Engaging with Datasets
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1. Data Cleaning and Preparation
Prior to utilizing a dataset, it is essential to ensure that it is clean and appropriately formatted. Typical preparation tasks include:
Addressing missing values
Eliminating duplicates
Normalization and standardization
Feature engineering
2. Data Augmentation
For datasets involving images, text, and audio, augmentation methods can enhance the size and variety of training data.
Image Augmentation: Flipping, rotating, cropping.
Text Augmentation: Synonym substitution, word rearrangement.
Audio Augmentation: Adding noise, altering pitch.
3. Dataset Partitioning
It is crucial to partition the dataset into training, validation, and test sets effectively.
Training Set - Utilized for model training.
Validation Set - Employed for hyperparameter tuning.
Test Set - Used for final assessment.
4. Addressing Imbalanced Datasets
In classification tasks, it is important to ensure that classes are balanced to avoid model bias.
Implement oversampling (e.g., SMOTE) or undersampling methods.
Utilize weighted loss functions.
5. Ethical Considerations
It is vital to ensure that datasets are sourced ethically, represent diverse populations, and do not introduce biases into machine learning models.
Conclusion, 
datasets serve as the fundamental component of machine learning initiatives. Regardless of whether the focus is on computer vision, natural language processing, time series analysis, or reinforcement learning, the selection of an appropriate dataset can greatly influence the effectiveness of your model. By utilizing publicly accessible datasets and adhering to established Globose Technology Solutions best practices for data preprocessing and augmentation, one can develop more precise and resilient machine learning models.
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emmaaiva-blog · 5 years ago
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leojack751-blog · 6 years ago
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swetachapman · 5 years ago
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henryhunter661 · 5 years ago
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comp6841 · 6 years ago
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Tutorial - Week 7
Preparation Work
In preparation for this tutorial, we were supposed to start thinking about answers to the following question:
Should the government or government agencies collect and have access to your data for good purposes, or should citizens, .e.g you, have a right to privacy which stops them?
Personally, I think there needs to be a compromise on this issue; no level of identification would prevent many government systems from being able to run and would be a detriment to public safety. However too much surveillance becomes invasive and purely unnecessary - there becomes a point at which you know so much that it can be used as a means for control.
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The funny thing about all these supplied articles is that I had pretty much read them all when they came out anyway, as I’m already pretty privacy-oriented. However I will summarise the events and some of my thoughts on them:
2019 - Facial recognition to replace Opal cards (link)
Discussed in a previous article (here) on biometrics
Basically use your face to represent your identity and charge you
2019 - AFR facial recognition (link)
Goes through the numerous benefits of biometrics including missing people, security, crime and ‘smart cities’
Highlights the significant potential for abuse - mass surveillance & privacy, identity theft, etc
2019 - Australians accept government surveillance (link)
Demonstrates how citizens are ‘on the fence’ regarding the benefits vs dangers of increasing levels of government surveillance (note the survey was only 100 people)
Any further surveillance measures will probably result in people taking steps to protect their privacy more
2018 - NSW intensifies citizen tracking (link)
NSW policie and crime agencies to use the “National Facial Biometric Matching Capability"
System contains passport photos, drivers licenses
Government claims there will be restraint in their usage (with regards to certain crimes) and stated the benefits to public safety and prevention of identity theft
2017 - Benefits of Surveillance (from ‘intelligence officials) (link)
Discusses the issue of ‘proportionality’ in surveillance - the ratio between the total data collected and the actual usage of this data by intelligence agencies
Two main types of intelligence - tactical which is targeted at certain individuals, where as strategic is more targeted at information dominance (gathering as much as possible)
Hard to assess effectiveness of surveillance programs - agencies often ‘cherry pick’ figures that support their arguments
Surveillance differences between citizens and foreigners - a distinction exists in the US on the permissible levels of surveillance due to their constitutional rights
2015 - Australian Metadata retention (link)
I remember this one at the time; George Brandis (the attorney general at the time) made an absolute mockery of explaining this one
Basically legislating the storage of the details of the endpoints of every internet and phone communication
Even though you don’t know the contents of a communication necessarily, you can still extract a lot of data from this information alone
Main concerns relating to who would be able to access this information and how can the government secure it
2013 - Need for government surveillance (link)
Basically justifying the need for extended surveillance of citizens due to “new threat” of “home-grown” terror
With all these articles, I sort of understand the need for governments to update their surveillance capabilities with regards to the new technology available. However, I think there should be restrictions in place regarding this and constant transparent assessment of their effectiveness regarding the claims they make for their ‘necessity’.
Tutorial
I think Jazz was right in saying how ‘cooked’ we all were in the week 7 tutorial; honestly I can barely remember what even happened. I remember him going through and cracking the ‘blind’ buffer overflow challenge which was pretty cool. Basically he did a dump of the assembly code and searched for the win function; this was so we could get the address.
 Then we could feed in a long string using cyclic (such that every 4 bytes is unique) which would cause a segmentation fault. This is because it is attempting to jump to an invalid (or not permitted) address; the fault message will display the address it faulted on which we can convert back to a set of 4 characters. This will give us the index in the string that the return address occurs at - we can then just dump the address of the win function we found earlier. Now hopefully in an exam the buffer wouldn’t be too far from the return address, however if it is it might be worth learning up how to write a quick program in Python to calculate the De Bruijn sequence for a set of characters!
We also went through some of the questions from the exam. I got the opportunity to go through and explain to the class how to determine the key length in question 12 of the mid-sem. You basically use a technique known as ‘Kasiski examination’; this involves searching for repeated phrases in the ciphertext and counting the distance between them. Then you are able to determine that the key word length must be a factor of this distance. If  you repeat it enough times (in particular I was looking at the ‘GAD’ and ‘GAZ’ phrases in the text) you are able to ascertain that the keyword length must be 6. (3 was technically possible, but just ‘more unlikely’)
There were some other interesting on-the-spot talks in class regarding security. Someone discussed how you can intercept all the packets on a network with an appropriate network adapter (or if you can get your card in ‘monitor mode’); (I think @comp6841lanceyoung​) some of the implications from this are interesting. Another person gave a brief overview of how we can interpret an image to train an AI to break CAPTCHAs (@raymondsecurityadventures​). The final one (@azuldemontana) gave a quite funny analogy of how eating Heinz Fiery Mexicans Beans for lunch is basically the same as using open-source software - you would only eat things that you know the ingredients, so why do we use closed source so much if we don’t know whats happening?
We sorta got distracted with so many other random security things we didn’t actually leave that much time for the actual case study. Basically what we did was brainstorm all the pieces of data we might consider are connected to our identity: name, address, phone no., social security, tax number, browsing history, message & call logs, location history, relationship history, etc. Then we went through each of them and debated as a class whether or not we thought the government should be allowed to collect and store this information.
I actually found it quite funny that people were arguing against the government having something basic like an address. There generally always comes a point in our lives where things outside our control happen that require government intervention and not knowing where you live makes it quite difficult for them to inform you or provide assistance. It might be about letting you know about changes to legislation, local building works, death of a loved one; not necessarily just about chasing up a crime.
I think that the major issue that civilians have against the government collecting this data boils down to two main issues. The first is misuse - that is, from the data being easily accessible across all government agencies without much evidence of a crime being committed. It also encompasses our mistrust in the government being able to store this data securely - if the data was leaked it may be used for identity theft, blackmail, etc and could haunt you for years. The second problem closely links to this and is the retention period - how long is it really necessary for them to keep this data for law enforcement purposes? You have to remember the longer it is kept the more prone it may be to misuse (i.e. hacked); I personally think a shorter retention period would probably make people less concerned.
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