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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).

• 17:50, 26 February 2023 Alpha5 talk contribs moved page Machine learning terms/Image Models to Machine learning terms/Computer Vision
• 17:50, 26 February 2023 Alpha5 talk contribs moved page Machine learning terms/Language Evaluation to Machine learning terms/Natural Language Processing
• 17:45, 26 February 2023 Alpha5 talk contribs created page Fundamentals (Redirected page to Machine learning terms/Fundamentals) Tag: New redirect
• 17:44, 26 February 2023 Alpha5 talk contribs created page Fundamental terms (Redirected page to Machine learning terms/Fundamentals) Tag: New redirect
• 17:44, 26 February 2023 Alpha5 talk contribs created page Natural Language Processing terms (Redirected page to Machine learning terms/Natural Language Processing) Tag: New redirect
• 17:43, 26 February 2023 Alpha5 talk contribs created page Computer Vision terms (Redirected page to Machine learning terms/Computer Vision) Tag: New redirect
• 16:46, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Google Cloud (Created page with "*Cloud TPU *Tensor Processing Unit (TPU) *TPU *TPU chip *TPU device *TPU master *TPU node *TPU Pod *TPU resource *TPU slice *TPU type *TPU worker")
• 16:45, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Reinforcement Learning (Created page with "*action *agent *Bellman equation *critic *Deep Q-Network (DQN) *DQN *environment *episode *epsilon greedy policy *experience replay *greedy policy *Markov decision process (MDP) *Markov property *policy *Q-function *Q-learning *random policy *reinforcement learning (RL) *replay buffer *return *reward *state *state-action value function *tabular Q-learning *target network *...")
• 16:44, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Sequence Models (Created page with "*bigram *exploding gradient problem *forget gate *gradient clipping *Long Short-Term Memory (LSTM) *LSTM *N-gram *recurrent neural network *RNN *sequence model *timestep *trigram *vanishing gradient problem")
• 16:43, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Decision Forests (Created page with "*attribute sampling *axis-aligned condition *bagging *binary condition *condition *decision forest *decision tree *entropy *feature importances *gini impurity *gradient boosting *gradient boosted (decision) trees (GBT) *inference path *information gain *in-set condition *leaf *node (decision tree) *non-binary condition *oblique condition *out-of-bag evaluation (OOB evaluation) *permutation...")
• 16:41, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/TensorFlow (Created page with "*Cloud TPU *Dataset API (tf.data) *device *eager execution *Estimator *feature engineering *feature spec *graph *graph execution *Layers API (tf.layers) *metric *node (TensorFlow graph) *operation (op) *Parameter Server (PS) *queue *rank (Tensor) *root directory *SavedModel *Saver *summary *Tensor *TensorBoard *TensorFlow *TensorFlow Playground *TensorFlow Serving *Tenso...")
• 16:40, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Language Evaluation (Created page with "*attention *bag of words *BERT (Bidirectional Encoder Representations from Transformers) *bigram *bidirectional *bidirectional language model *BLEU (Bilingual Evaluation Understudy) *causal language model *crash blossom *decoder *denoising *embedding layer *embedding space *embedding vector *encoder *GPT (Generative Pre-trained Transformer) *LaMDA (Language Model for Dialogue Applications) *language mo...")
• 16:38, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Clustering (Created page with "*agglomerative clustering *centroid *centroid-based clustering *clustering *divisive clustering *hierarchical clustering *k-means *k-median *similarity measure *sketching *time series analysis *unsupervised machine learning")
• 16:37, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Image Models (Created page with "*augmented reality *bounding box *convolution *convolutional filter *convolutional layer *convolutional neural network *convolutional operation *data augmentation *depthwise separable convolutional neural network (sepCNN) *downsampling *image recognition *intersection over union (IoU) *keypoints *landmarks *MNIST *pooling *rotational invariance *size invariance *spatial pooling *stride *sub...")
• 16:36, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Recommendation Systems (Created page with "*candidate generation *collaborative filtering *item matrix *items *matrix factorization *recommendation system *re-ranking *scoring *user matrix *Weighted Alternating Least Squares (WALS)")
• 16:10, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Fairness (Created page with "*attribute *automation bias *bias (ethics/fairness) *confirmation bias *counterfactual fairness *coverage bias *demographic parity *disparate impact *disparate treatment *equality of opportunity *equalized odds *experimenter's bias *fairness constraint *fairness metric *group attribution bias *implicit bias *incompatibility of fairness metrics *individual fairness *in-group bias *non-response b...")
• 15:30, 26 February 2023 Alpha5 talk contribs created page L0 (Redirected page to L0 regularization) Tag: New redirect
• 13:18, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/Fundamentals (Created page with "*accuracy *activation function *artificial intelligence *AUC (Area Under the Curve) *backpropagation *batch *batch size *bias *bias (ethics/fairness) *binary classification *bucketing *categorical data *class *classification model *classification threshold *class-imbalanced dataset *clipping *confusion matrix *continuous feature *convergence *DataFrame *dataset *deep model *dens...")
• 13:06, 26 February 2023 Alpha5 talk contribs created page Machine learning terms/All (Created page with "*A/B testing *accuracy *action *activation function *active learning *AdaGrad *agent *agglomerative clustering *anomaly detection *AR *area under the PR curve *area under the ROC curve *artificial general intelligence *artificial intelligence *attention *attribute *attribute sampling *AUC (Area under the ROC curve) *augmented reality *automation bias *average precision *axis-aligned con...")
• 13:01, 26 February 2023 Alpha5 talk contribs created page Training dataset (Redirected page to Training set) Tag: New redirect
• 13:01, 26 February 2023 Alpha5 talk contribs created page Training data set (Redirected page to Training set) Tag: New redirect
• 12:47, 26 February 2023 Alpha5 talk contribs created page Test data (Redirected page to Test set) Tag: New redirect
• 12:46, 26 February 2023 Alpha5 talk contribs created page Test dataset (Redirected page to Test set) Tag: New redirect
• 12:46, 26 February 2023 Alpha5 talk contribs created page Test data set (Redirected page to Test set) Tag: New redirect
• 10:43, 26 February 2023 Alpha5 talk contribs created page Test loss (Created page with "{{see also|Machine learning terms}} ===Test Loss in Machine Learning== Machine learning algorithms measure their model's ability to make accurate predictions on unseen data. The test loss provides an assessment of a model's generalization ability, or its capacity for making accurate predictions when presented with new, unseen information that was not seen during training. The test loss is calculated by comparing the model's predictions on test data with actual values fo...")
• 10:08, 26 February 2023 Alpha5 talk contribs created page Training (Created page with "{{see also|Machine learning terms}} ==Introduction== Machine learning is a branch of artificial intelligence that seeks to develop algorithms and statistical models that enable computers to perform tasks without explicit programming. Training plays an integral role in this process, as it enables the algorithm to learn from data and make predictions based on patterns it detects. In this article, we'll examine training in machine learning in depth - its purpose, different...")
• 23:31, 25 February 2023 Alpha5 talk contribs created page Training loss (Created page with "{{see also|Machine learning terms}} ==Introduction== Training loss is an important metric in machine learning that measures the discrepancy between predicted output and actual output. It helps evaluate a model's performance during training, with the aim being to minimize this loss so that it can generalize well on unseen data. ==Types of Loss Functions== Machine learning employs a variety of loss functions, depending on the problem being solved and the model being emplo...")
• 14:30, 25 February 2023 Alpha5 talk contribs created page Training-serving skew (Created page with "{{see also|Machine learning terms}} ===Training-Serving Skew in Machine Learning== Training-serving skew is a common issue when deploying machine learning models, particularly in production settings where they will be put to real world use. This term describes the difference in performance of a model during training and deployment that can arise from various sources such as different data distributions, hardware configurations or software dependencies between these envir...")
• 14:03, 25 February 2023 Alpha5 talk contribs created page L0 regularization (Created page with "{{see also|Machine learning terms}} ==Introduction== L0 regularization, also referred to as the "feature selection" regularization, is a machine learning technique used to encourage models to utilize only some of the available features from data. It does this by adding a penalty term to the loss function that encourages models to have sparse weights - that is, weights close to zero. The goal of L0 regularization is to reduce feature counts used by the model which improve...")
• 13:52, 25 February 2023 Alpha5 talk contribs created page Stability (Created page with "==Introduction== Stability in machine learning refers to the robustness and dependability of a model's performance when exposed to small variations in training data, hyperparameters, or even the underlying data distribution. This is an essential aspect to consider when building models for real-world applications since even small changes can drastically impact predictions made by the model. ==Types of Stability== In machine learning, there are...")
• 13:46, 25 February 2023 Alpha5 talk contribs created page Stable (Redirected page to Stability) Tag: New redirect
• 13:40, 25 February 2023 Alpha5 talk contribs created page Unstable (Redirected page to Stability) Tag: New redirect
• 12:38, 25 February 2023 Alpha5 talk contribs created page Iteration (Created page with "{{see also|Machine learning terms}} ===Iteration in Machine Learning== Machine learning is a subfield of artificial intelligence that seeks to develop algorithms and statistical models that can learn from data and make predictions or decisions based on it. One key concept in machine learning is iteration; this concept helps ensure success when applying the learned algorithm or model. Iteration is the process of repeating a task multiple times to improve outcomes. In mac...")
• 12:18, 25 February 2023 Alpha5 talk contribs created page Interpretability (Created page with "{{see also|Machine learning terms}} ===Interpretability in Machine Learning== Interpretability in machine learning refers to the process of comprehending and explaining the actions taken by a model. It plays an essential role in developing these models, particularly in fields such as healthcare, finance and criminal justice where decisions made by these algorithms may have far-reaching repercussions for individuals and society at large. Interpretability is the goal of i...")
• 21:11, 24 February 2023 Alpha5 talk contribs created page LLaMA (Created page with "{{see also|LLaMA/Model Card}} {{:LLaMA/Model Card}}")
• 21:09, 24 February 2023 Alpha5 talk contribs moved page LLaMA to LLaMA/Model Card without leaving a redirect
• 19:52, 24 February 2023 Alpha5 talk contribs created page LLaMA (Created page with "==Model details== Organization developing the model The FAIR team of Meta AI. Model date LLaMA was trained between December. 2022 and Feb. 2023. Model version This is version 1 of the model. Model type LLaMA is an auto-regressive language model, based on the transformer architecture. The model comes in different sizes: 7B, 13B, 33B and 65B parameters. Paper or resources for more information More information can be found in the paper “LLaMA, Open and Efficient Found...")
• 19:16, 24 February 2023 Alpha5 talk contribs created page Input layer (Created page with "{{see also|Machine learning terms}} ==Introduction== The input layer is an essential element in any machine learning model. It takes input data and passes it on to the next layer in the model, where it is processed and transformed into meaningful information. In this article, we'll examine in depth the characteristics of an input layer as well as its role in overall machine learning model operation. ==Structure of the Input Layer== The input layer is typically the initi...")
• 18:43, 24 February 2023 Alpha5 talk contribs created page SL (Redirected page to Supervised learning) Tag: New redirect
• 18:42, 24 February 2023 Alpha5 talk contribs created page UL (Redirected page to Unsupervised learning) Tag: New redirect
• 18:36, 24 February 2023 Alpha5 talk contribs created page IID (Redirected page to Independently and identically distributed (i.i.d.)) Tag: New redirect
• 18:36, 24 February 2023 Alpha5 talk contribs created page I.i.d. (Redirected page to Independently and identically distributed (i.i.d.)) Tag: New redirect
• 18:36, 24 February 2023 Alpha5 talk contribs created page Independently and identically distributed (Redirected page to Independently and identically distributed (i.i.d.)) Tag: New redirect
• 18:36, 24 February 2023 Alpha5 talk contribs created page Independently and identically distributed (i.i.d.) (Created page with "{{see also|Machine learning terms}} ==Introduction== Machine learning algorithms often make the assumption of independently and identically distributed (i.i.d.) data, which implies each data point is drawn independently from a given probability distribution. This assumption is essential for many machine learning algorithms as it permits powerful mathematical operations to make predictions based on observed patterns in the data. ==Definition of i.i.d. data== Formally spe...")
• 18:31, 24 February 2023 Alpha5 talk contribs created page NN (Redirected page to Neural network) Tag: New redirect
• 18:31, 24 February 2023 Alpha5 talk contribs created page ANN (Redirected page to Neural network) Tag: New redirect
• 18:27, 24 February 2023 Alpha5 talk contribs moved page Online to Online learning
• 17:27, 24 February 2023 Alpha5 talk contribs created page Inference (Created page with "{{see also|Machine learning terms}} ===Definition of Inference in Machine Learning== Machine learning refers to the process of inference, or making predictions or decisions based on data and a trained model. The goal is for the model to generate outputs as accurate as possible given its input data, then use these outputs to make decisions or predictions about new, unseen data. ==Types of Inference in Machine Learning== In machine learning, there are two primary forms of...")
• 12:23, 24 February 2023 Alpha5 talk contribs created page Hyperparameters (Redirected page to Hyperparameter) Tag: New redirect
• 12:21, 24 February 2023 Alpha5 talk contribs created page Hyperparameter (Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning involves finding the optimal set of parameters that allows the model to make accurate predictions on new data. Unfortunately, certain parameters cannot be learned from training data and must be set before training the model - these are known as hyperparameters - which play a significant role in determining its performance. ==Definition== Hyperparameters are parameters set before training a machine le...")