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Kateqoriya: Data Science

A/B Testing

Accuracy

Activation Function

Adam Optimization

Area Under the Curve (AUC)

Artificial Intelligence (AI)

Autoencoders

Autoregression

Auxiliary

Backpropagation

Backward

Backward Computation

Backward Elimination

Backward Formulation

Batch Processing

Benchmark Solution

Bias-Variance Trade-off

Binomial Classification

Block

Block Diagram

Boosting

Bottleneck

Brute Force Approach

Business Intelligence (BI)

Call Detail Record (CDR) Analysis

Categorical Variable

Class

Classification

Classification Threshold

Cloud Computing

Cluster

Cluster Analysis

Collaborative Filtering

Composite Algorithms

Computer Run

Computer Vision

Conceptual

Concordant-Discordant Ratio

Concurrency

Configuration

Confusion Matrix

Congestion

Contour

Control Set

Convolutional Neural Network (CNN)

Core

Core Memory

Cosine Similarity

Criterion

Critical Appraisal

Cross Entropy

Cross Validation

Cycle

Cyclic

Dark Data

Dashboard

Data

Data Aggregation

Data Analysis

Data Appending

Data Cleansing

Data Deduplicating

Data Engineering

Data Exploration

Data Feed

Data Filtering

Data Governance

Data Journalism

Data Merging

Data Pipelines

Data Pre-Processing

Data Science

Data Transformation

Data Visualization

Data Warehouse

Data Wrangling (Munging)

Dataset

Decile

Decision Analytics

Decision Boundary

Decision Trees

Deep Learning

Denoising

Descriptive Analytics

Deterioration

Dirty Data

Duplicate

Early Stopping

Encoding

Encryption

Ensemble Modeling

Epoch

Evaluation Metrics

Exploratory Data Analysis (EDA)

Extract, Transform, Load (ETL)

F-Score

F1-Score

Feature Engineering

Feature Extraction

Feature Reduction

Feature Selection

Feedback

Feedback Control

Feedforward

Fictitious

Field

Figure

Fit

Forest

Format

Formulation

Forward

Forward Formulation

Forward Selection

Fuzzy Algorithms

Gated Recurrent Unit (GRU)

Generalizability

Geospatial Analytics

Graphical Representation

Graphics Processing Unit (GPU)

Greedy Algorithms

Hadoop User Experience (HUE)

Hidden Markov Model

Hierarchial Clustering

Hierarchy

Hybrid

Hyperparameter

Idle

Idle Capacity

Idle Time

Ill-Defined

Image

Imbalanced Classes

Imputation

In-Memory Computing

Incomplete Block

Index

Indicator

Infinitesimal

Infinity

Infrastructure as a Service (IaaS)

Input

Input-Output Analysis

Internet Of Things

Intuition

Intuitive

Item Based Filtering

Item-Item Collaborative Filtering

Item-To-Item Filtering

K-Means Clustering

K-Nearest Neighbors Algorithm (KNN)

Key-Value Store

Label

Labeled Data

Latent Variable

Learning Rate

Linear Regression

Load Balancing

Log File

Log Loss

Logical

Logistic Regression

Long Short Term Memory (LSTM)

Loop

Machine Learning

Management Information System (MIS)

Manual

Market Basket Analysis

Market Mix Modeling

Marketing Mix Modeling

Metadata

Missing Observation

ML as a Service (MLaaS)

Model Deployment

Model Selection

Model Tuning

Multi-Class Classification

Multinomial Classficication

Multivariate Analysis

Multivariate Regression

NaN

Natural Language Processing (NLP)

Neural Networks

Nominal Variable

Normalization

Normalize

Ordinal Variable

Overfitting

Overlap

Parallel Data Analysis

Parameter Tuning

Pattern

Pattern Recognition

Perceptron

Platform as a Service (PaaS)

Post-Optimality

Pre-Trained Model

Predictive Analytics

Prescriptive Analytics

Primary Data

Principal Component Analysis (PCA)

Pseudo

Pseudo Concave

Query

Random Forest

Randomized Block

Rate

Raw Data

Real Time Data

Recall

Receiver Operating Characteristic (ROC)

Recommendation Engine

Recommender Systems

Rectified Linear Unit (ReLU)

Recurrent Neural Network (RNN)

Regularization

Relationship

Residual (Error)

Response Variable

Rotational Invariance

Run

Run Time

Script

Secondary Data

Semi-Supervised Learning

Shrinkage

Sigmoid Function

Similarity Distance

Simulation Run

Softmax Classification

Software as a Service (SaaS)

Spatial-Temporal Reasoning

Standardization

Statistical Significance

Stream Processing

Structured Data

Summary Statistics

Supervised Learning

Support Vector Machine (SVM)

T-Test

Testing

The Hadoop Distributed File System (HDFS)

Tokenization

Training

Transfer Learning

Underfitting

Unit

Univariate Analysis

Unstructured Data

Unsupervised Learning

User Based Collaborative Filtering

Valid

Validation

Validation Set

Validity

Virtual Machine

Walk

Web Analytics

Web Scraping

Work Load

Worst-case Analysis

Z-Test

Menyu