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Etiket: DS

Epoch

Data Analysis

Backward Formulation

Testing

Principal Component Analysis (PCA)

Marketing Mix Modeling

Loop

Item-To-Item Filtering

Item-Item Collaborative Filtering

Feedback Control

Feedback

Data Science

Accuracy

Script

Encryption

Encoding

Control Set

Autoencoders

Stream Processing

In-Memory Computing

Web Analytics

Virtual Machine

Key-Value Store

Geospatial Analytics

Data Governance

Ensemble Modeling

Model Deployment

A/B Testing

Internet Of Things

Duplicate

Data Feed

Concurrency

Log File

Cloud Computing

Load Balancing

The Hadoop Distributed File System (HDFS)

Hadoop User Experience (HUE)

ML as a Service (MLaaS)

Platform as a Service (PaaS)

Infrastructure as a Service (IaaS)

Software as a Service (SaaS)

Query

Data Deduplicating

Data Appending

Data Merging

Data Filtering

Data Aggregation

Data Cleansing

Denoising

Batch Processing

Data Pre-Processing

Logical

Conceptual

Relationship

Generalizability

Secondary Data

Primary Data

Structured Data

Unstructured Data

Real Time Data

Metadata

Dirty Data

Dark Data

Critical Appraisal

Call Detail Record (CDR) Analysis

Parallel Data Analysis

Sigmoid Function

Random Forest

Rectified Linear Unit (ReLU)

Perceptron

Model Tuning

Learning Rate

Latent Variable

Graphics Processing Unit (GPU)

Softmax Classification

Shrinkage

Validation Set

Recurrent Neural Network (RNN)

Convolutional Neural Network (CNN)

Backpropagation

Activation Function

Univariate Analysis

Transfer Learning

Tokenization

Spatial-Temporal Reasoning

Rotational Invariance

Response Variable

Regularization

Recommendation Engine

Recall

Pre-Trained Model

Ordinal Variable

Nominal Variable

Natural Language Processing (NLP)

NaN

Multivariate Regression

Multivariate Analysis

Multi-Class Classification

Model Selection

Market Mix Modeling

Market Basket Analysis

Long Short Term Memory (LSTM)

Log Loss

Labeled Data

Label

Imputation

Hyperparameter

Hidden Markov Model

Gated Recurrent Unit (GRU)

Feature Selection

Feature Engineering

Feature Extraction

Feature Reduction

Evaluation Metrics

Exploratory Data Analysis (EDA)

Early Stopping

Decile

Decision Boundary

Dashboard

Dataset

Data Transformation

Cross Validation

Cross Entropy

Support Vector Machine (SVM)

Cosine Similarity

Concordant-Discordant Ratio

Computer Vision

Classification Threshold

Categorical Variable

Boosting

Bias-Variance Trade-off

Autoregression

Adam Optimization

Web Scraping

Extract, Transform, Load (ETL)

Data Wrangling (Munging)

Data Pipelines

Data Exploration

Residual (Error)

Summary Statistics

Statistical Significance

Normalize

Data Visualization

Data Journalism

Data Engineering

Business Intelligence (BI)

Artificial Intelligence (AI)

Underfitting

Overfitting

Fit

Greedy Algorithms

Fuzzy Algorithms

Data Warehouse

Multinomial Classficication

Binomial Classification

Hierarchial Clustering

K-Means Clustering

Similarity Distance

User Based Collaborative Filtering

Item Based Filtering

Collaborative Filtering

Recommender Systems

Confusion Matrix

Parameter Tuning

Receiver Operating Characteristic (ROC)

Area Under the Curve (AUC)

Imbalanced Classes

Standardization

Normalization

F-Score

F1-Score

Z-Test

T-Test

Work Load

Worst-case Analysis

Walk

Validity

Validation

Valid

Unit

Run Time

Simulation Run

Computer Run

Run

Raw Data

Pseudo Concave

Pseudo

Post-Optimality

Pattern

Overlap

Missing Observation

Manual

Management Information System (MIS)

Intuitive

Intuition

Input-Output Analysis

Input

Infinity

Infinitesimal

Indicator

Index

Image

Ill-Defined

Idle Time

Idle Capacity

Idle

Hybrid

Hierarchy

Graphical Representation

Forward Selection

Forward Formulation

Forward

Formulation

Format

Forest

Figure

Field

Fictitious

Feedforward

Deterioration

Data

Cyclic

Cycle

Criterion

Core Memory

Core

Contour

Congestion

Configuration

Cluster Analysis

Cluster

Classification

Class

Brute Force Approach

Bottleneck

Block Diagram

Randomized Block

Incomplete Block

Block

Benchmark Solution

Backward Elimination

Backward Computation

Backward

Auxiliary

Semi-Supervised Learning

Unsupervised Learning

Supervised Learning

K-Nearest Neighbors Algorithm (KNN)

Deep Learning

Linear Regression

Pattern Recognition

Neural Networks

Decision Analytics

Prescriptive Analytics

Predictive Analytics

Descriptive Analytics

Rate

Training

Decision Trees

Machine Learning

Composite Algorithms

Menyu