All public logs

Combined display of all available logs of AI Wiki. You can narrow down the view by selecting a log type, the username (case-sensitive), or the affected page (also case-sensitive).

14:31, 20 February 2023 Alpha5 talk contribs created page Class imbalance (Redirected page to Class-imbalance dataset) Tag: New redirect
14:30, 20 February 2023 Alpha5 talk contribs created page Class-imbalanced dataset (Created page with "===Introduction== Class imbalance is a frequent issue in machine learning, where one or more classes in a dataset have significantly fewer examples than others. This imbalance makes it difficult for machine learning algorithms to accurately predict the minority class, leading to biased and inaccurate models. This article will define class-imbalanced datasets in machine learning, discuss its challenges, and present various techniques to address this issue. ==Defining a...")
13:15, 20 February 2023 Alpha5 talk contribs created page Feature set (Created page with "==Introduction== In machine learning, a feature set is a collection of features or attributes that are used to represent a data point. These features are used to train a model to learn patterns in the data and make predictions on new data. The quality and relevance of the feature set are crucial to the success of the model, and feature engineering is an important step in the machine learning pipeline. ==What are features?== Features are properties or characteristics of...")
13:05, 20 February 2023 Alpha5 talk contribs deleted page Feature extraction (content was: "#REDIRECT Feature engineering", and the only contributor was "Alpha5" (talk))
12:59, 20 February 2023 Alpha5 talk contribs created page Feature extraction (Redirected page to Feature engineering) Tag: New redirect
12:54, 20 February 2023 Alpha5 talk contribs created page Feature engineering (Created page with "==Introduction== Feature engineering is a critical process in machine learning that involves selecting, extracting, and transforming relevant features or variables from raw data to improve the accuracy and performance of machine learning models. Feature engineering is a complex and challenging process that requires domain knowledge, creativity, and expertise in data manipulation techniques. The objective of feature engineering is to transform raw data into a more suitabl...")
12:27, 20 February 2023 Alpha5 talk contribs created page Machine learning models (Redirected page to Models) Tag: New redirect
12:26, 20 February 2023 Alpha5 talk contribs created page Categorical (Redirected page to Categorical data) Tag: New redirect
12:24, 20 February 2023 Alpha5 talk contribs created page Continuous (Redirected page to Continuous feature) Tag: New redirect
12:21, 20 February 2023 Alpha5 talk contribs created page Continuous feature (Created page with "===Introduction== Machine learning usually divides data into two primary types: continuous and categorical. Continuous features, also referred to as numerical or quantitative features, refer to variables that take on a range of numeric values like age, weight, and height. These features are commonly employed in regression models that aim to predict an output variable such as sales or revenue based on input features. Understanding continuous features is critical for creat...")
11:43, 20 February 2023 Alpha5 talk contribs created page Classification threshold (Created page with "===Introduction== Machine learning classification is a task where the goal is to assign an input data point to one of several predefined categories or classes. One critical decision that must be made while performing classification is setting the classification threshold; this determines when the algorithm assigns a data point to one class or another. ==What is Classification Threshold?== Classification threshold is a value that indicates the minimum probability that da...")
11:23, 20 February 2023 Alpha5 talk contribs created page Regression (Redirected page to Regression model) Tag: New redirect
11:20, 20 February 2023 Alpha5 talk contribs created page Classification (Redirected page to Classification model) Tag: New redirect
11:18, 20 February 2023 Alpha5 talk contribs created page Classification model (Created page with "==Introduction== Machine learning is a branch of computer science that allows computers to learn from data without being explicitly programmed. One major goal is creating models that can automatically make predictions based on input data. A classification model, for instance, utilizes machine learning algorithms in order to predict which class a new input belongs in. ==What is a Classification Model?== Classification models are machine learning algorithms that take inpu...")
09:44, 20 February 2023 Alpha5 talk contribs created page Feature (Created page with "===Introduction== Machine learning takes into account features, which are quantifiable aspects or characteristics of a data point that are used to build predictive models. These elements, also referred to as predictors or independent variables, are selected based on their capacity for explaining variations in the dependent variable - that is, the target variable that the model seeks to predict. Features are an integral component of machine learning algorithms, as they i...")
09:36, 20 February 2023 Alpha5 talk contribs created page Feature cross (Created page with "===Introduction== Machine learning algorithms rely heavily on features to extract useful information from data. Feature engineering is the process of selecting and manipulating raw data to create new ones that better depict patterns and relationships present in it. One advanced feature engineering technique used is feature crossing. ==What is Feature Crossing?== Feature crossing is a technique for creating new features by combining two or more existing ones in a dataset...")
03:22, 20 February 2023 Alpha5 talk contribs created page False positive rate (FPR) (Created page with "===Introduction== Machine learning models use classification models to predict whether an input belongs in a certain class or not. Unfortunately, these predictions aren't always correct and sometimes the model may indicate that an input belongs in one class when it actually doesn't - this is known as a false positive and the rate at which false positives occur is known as the false positive rate (FPR). ==What is false positive rate (FPR)?== False Positive Rate (FPR) is...")
01:42, 20 February 2023 Alpha5 talk contribs created page FP (Redirected page to False positive (FP)) Tag: New redirect
01:41, 20 February 2023 Alpha5 talk contribs created page False positive (Redirected page to False positive (FP)) Tag: New redirect
00:48, 20 February 2023 Alpha5 talk contribs created page False positive (FP) (Created page with "===Introduction== Machine learning models utilize classification to detect different patterns in data and make predictions based on them. False positive (FP) refers to a situation when the model predicts an event has taken place but it wasn't true; this can happen when it recognizes a pattern similar to what was desired but which does not match exactly. FPs have serious repercussions, especially within healthcare where misdiagnosis could lead to incorrect treatments and...")
17:19, 19 February 2023 Alpha5 talk contribs created page False negative (FN) (Created page with "==Introduction== In machine learning, a false negative (FN) occurs when a model predicts a negative outcome for an input when the true outcome is positive. In other words, this occurs when the model fails to identify positive instances correctly. False negatives are frequently linked with Type II errors in statistics - when one fails to reject a null hypothesis when it is actually false. In binary classification, a false negative can be defined as when the model incorre...")
17:12, 19 February 2023 Alpha5 talk contribs created page FN (Redirected page to False negative (FN)) Tag: New redirect
17:12, 19 February 2023 Alpha5 talk contribs created page False negative (Redirected page to False negative (FN)) Tag: New redirect
16:41, 19 February 2023 Alpha5 talk contribs created page Example (Created page with " ==Introduction== Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms that can learn from data and make predictions or decisions without being explicitly programmed. An important component of machine learning is the use of examples or training data, which consists of input data and the corresponding desired output. In this article, we will explain what an example is in machine learning and how it is used to train...")
16:24, 19 February 2023 Alpha5 talk contribs created page Epoch (Created page with "===Introduction== In machine learning, an epoch is a term used to indicate one complete pass through the entire training dataset during the learning process. Training a machine learning model involves optimizing parameters using large datasets; each iteration known as an epoch. The number of epochs can be set by the user and determines how often the algorithm will traverse all data points. In this article we'll explore the concept of an epoch in machine learning, its sig...")
01:51, 19 February 2023 Alpha5 talk contribs created page Embedding layer (Created page with "===Introduction== Machine learning often deals with high-dimensional vectors, which can be challenging to process and analyze directly. To solve this problem, machine learning models often incorporate an "embedding layer," which transforms the input data into a lower dimensional space where it's easier to interpret. This embedding layer plays a major role in many machine learning algorithms such as neural networks and has applications across various fields from natural l...")
01:38, 19 February 2023 Alpha5 talk contribs created page Classes (Redirected page to Class) Tag: New redirect
01:31, 19 February 2023 Alpha5 talk contribs created page Class (Created page with "==Introduction== Machine learning utilizes classes, which are groups of categories or labels used for categorizing data points or instances. Classes play an integral role in various machine learning tasks like classification and clustering; they represent various objects, events, or phenomena we want to model and make predictions on. ==What is a class?== Machine learning classes are collections of categories or labels used to label data points. For instance, binary clas...")
00:10, 19 February 2023 Alpha5 talk contribs created page Categorical data (Created page with "===Introduction== Categorical data is a type of machine learning information that represents qualitative or nominal features rather than numerical or continuous values. It often represents attributes or characteristics of objects or events which cannot be quantified quantitatively. Categorical data plays an essential role in many machine learning tasks such as classification, clustering and regression; this article will give an extensive explanation of categorical data t...")
00:10, 19 February 2023 Alpha5 talk contribs created page Bins (Redirected page to Bucketing) Tag: New redirect
00:09, 19 February 2023 Alpha5 talk contribs created page Buckets (Redirected page to Bucketing) Tag: New redirect
23:43, 18 February 2023 Alpha5 talk contribs created page Binning (Redirected page to Bucketing) Tag: New redirect
23:38, 18 February 2023 Alpha5 talk contribs created page Bucketing (Created page with "===Introduction== Bucketing, also referred to as binning, is a data preprocessing technique in machine learning that involves grouping continuous numerical data into discrete categories or "buckets" based on their range of values. This can be beneficial for various reasons such as simplifying the data, eliminating noise and outliers, and improving model accuracy. In this article we'll provide an overview of bucketing in machine learning including its advantages, potentia...")
13:31, 18 February 2023 Alpha5 talk contribs created page AUC (Area Under the Curve) (Created page with "==Introduction== In machine learning, the AUC (Area Under the ROC Curve) is a popular metric used to evaluate the performance of binary classification models. It measures the ability of the model to distinguish between the positive and negative classes based on the output probabilities of the model. ==What is AUC?== AUC is a measure of the area under the curve of a Receiver Operating Characteristic (ROC) curve, which is a graph that represents the trade-off between the...")
13:31, 18 February 2023 Alpha5 talk contribs created page Area under the curve (Redirected page to AUC (Area Under the Curve)) Tag: New redirect
13:30, 18 February 2023 Alpha5 talk contribs created page Area Under the Curve (Redirected page to AUC (Area Under the Curve)) Tag: New redirect
13:30, 18 February 2023 Alpha5 talk contribs created page AUC (Redirected page to AUC (Area Under the Curve)) Tag: New redirect
12:58, 18 February 2023 Alpha5 talk contribs created page Activation function (Created page with "==Introduction== In machine learning, an activation function is a mathematical function applied to the output of a neuron in a neural network. The activation function determines the output of the neuron based on its input, and is a key component of the neural network architecture. ==What is an Activation Function?== An activation function is a non-linear function that is applied to the weighted sum of the inputs to a neuron. The activation function maps the input to a n...")
12:22, 18 February 2023 Alpha5 talk contribs created page Binary classification (Created page with "==Introduction== Binary classification is a type of supervised machine learning task in which an algorithm is trained to classify an input into one of two possible categories, often represented as "positive" and "negative". To train its algorithm, it uses an existing dataset which contains inputs and their labels indicating which category each belongs in. Once trained, this algorithm can be applied to new inputs to predict their labels accurately. A binary classificatio...")
12:14, 18 February 2023 Alpha5 talk contribs created page Bias (Created page with "==Introduction== Bias in mathematics and machine learning refers to the difference between an estimator's expected value and the true value of a parameter being estimated. In other words, bias introduces systematic error into an estimation process. Machine learning often refers to bias when discussing supervised learning algorithms. Supervised learning algorithms are trained on a dataset composed of input-output pairs with the purpose of discovering an mapping between i...")
12:05, 18 February 2023 Alpha5 talk contribs created page Bias (ethics/fairness) (Created page with "==Introduction== Bias in machine learning refers to systematic errors or discrimination present in a model's predictions or decisions. It can arise when the data used to train the model is not representative of the population it will be applied to, or certain groups are disproportionately represented or excluded from training data. ==Sources of bias in machine learning== Biases can arise during the creation and deployment of machine learning models. 1. Data Bias: This...")
06:53, 18 February 2023 Alpha5 talk contribs created page Batch (Created page with "==Introduction== Batch learning, also referred to as "offline learning," is a type of machine learning in which data is processed in batches rather than real-time or online. With this approach, the model is trained using historical data and then applied to make predictions on new data sets. ==Background== Machine learning encompasses two primary approaches: supervised and unsupervised. Supervised learning involves training a model on labeled data, where both inputs and...")
15:23, 17 February 2023 Alpha5 talk contribs created page Batch size (Created page with "==Introduction== Machine learning relies on a hyperparameter called batch size which indicates how many samples should be run before changing internal model parameters. This number can vary based on both machine memory capacity and the needs of each model and dataset. ==Batch Size and Gradient Descent== Gradient descent relies on batch size as a key parameter that determines how many samples are used in each iteration of the algorithm. Gradient descent works by iter...")
14:22, 17 February 2023 Alpha5 talk contribs created page BP (Redirected page to Backpropagation) Tag: New redirect
12:34, 17 February 2023 Alpha5 talk contribs created page Prompt injection (Created page with "When an user enters a prompt into a large language model like ChatGPT, the creator of the language model, like OpenAI, often customizes the response of the language model by concatenating their own prompt onto the user's prompt. Creator's prompt is usually concatenated before the start of the user's prompt and is usually hidden from the user.")
06:17, 17 February 2023 Alpha5 talk contribs created page Backpropagation (Created page with "==Introduction== Backpropagation is a technique used to train artificial neural networks, machine learning models inspired by the structure and function of the human brain. This process adjusts the weights assigned to connections within the network in order to minimize errors between predictions and actual input values. The backpropagation algorithm is often employed in conjunction with supervised learning tasks, in which the network is provided a set of input-output pa...")
07:10, 15 February 2023 Alpha5 talk contribs created page ML models (Redirected page to Models) Tag: New redirect
07:09, 15 February 2023 Alpha5 talk contribs created page Computer vision (Redirected page to Computer Vision) Tag: New redirect
07:09, 15 February 2023 Alpha5 talk contribs created page AI models (Redirected page to Models) Tag: New redirect
07:09, 15 February 2023 Alpha5 talk contribs created page Pre-trained models (Redirected page to Models) Tag: New redirect