Data Science English

Question 1

Algorithm (ˈælɡərɪðəm)

Answer 1

Algoritmo

Question 2

Analytics (ænəˈlɪtɪks)

Answer 2

Analítica

Question 3

Anomaly (əˈnɒməli)

Answer 3

Anomalía

Question 4

API (Application Programming Interface) (ˈeɪˈpiˈaɪ (æplɪˈkeɪʃən ˈproʊɡræmɪŋ ˈɪntərˌfeɪs))

Answer 4

Interfaz de Programación de Aplicaciones

Question 5

Artificial Intelligence (ˌɑrtɪˈfɪʃəl ɪnˈtɛləʤəns)

Answer 5

Inteligencia Artificial

Question 6

Big Data (bɪɡ ˈdeɪtə)

Answer 6

Big Data

Question 7

Classification (ˌklæsɪfɪˈkeɪʃən)

Answer 7

Clasificación

Question 8

Clustering (ˈklʌstərɪŋ)

Answer 8

Agrupamiento

Question 9

Correlation (ˌkɔrəˈleɪʃən)

Answer 9

Correlación

Question 10

Data (ˈdeɪtə)

Answer 10

Datos

Question 11

Data Cleaning (ˈdeɪtə ˈklinɪŋ)

Answer 11

Limpieza de Datos

Question 12

Data Mining (ˈdeɪtə ˈmaɪnɪŋ)

Answer 12

Minería de Datos

Question 13

Data Science (ˈdeɪtə ˈsaɪəns)

Answer 13

Ciencia de Datos

Question 14

Data Visualization (ˈdeɪtə ˌvɪʒuələˈzeɪʃən)

Answer 14

Visualización de Datos

Question 15

Dataset (ˈdeɪtəˌsɛt)

Answer 15

Conjunto de Datos

Question 16

Decision Tree (dɪˈsɪʒən tri)

Answer 16

Árbol de Decisión

Question 17

Deep Learning (dip ˈlɜrnɪŋ)

Answer 17

Aprendizaje Profundo

Question 18

Feature (ˈfiʧər)

Answer 18

Característica

Question 19

Forecasting (ˈfɔrkæstɪŋ)

Answer 19

Pronóstico

Question 20

Hypothesis (haɪˈpɑθəsɪs)

Answer 20

Hipótesis

Question 21

Label (ˈleɪbəl)

Answer 21

Etiqueta

Question 22

Machine Learning (məˈʃin ˈlɜrnɪŋ)

Answer 22

Aprendizaje Automático

Question 23

Model (ˈmɑdəl)

Answer 23

Modelo

Question 24

Neural Network (ˈnʊrəl ˈnɛtwɜrk)

Answer 24

Red Neuronal

Question 25

Outlier (ˈaʊtˌlaɪər)

Answer 25

Valor Atípico

Question 26

Overfitting (ˈoʊvərˌfɪtɪŋ)

Answer 26

Sobreajuste

Question 27

Parameter (pəˈræmɪtər)

Answer 27

Parámetro

Question 28

Pattern Recognition (ˈpætərn ˌrɛkəɡˈnɪʃən)

Answer 28

Reconocimiento de Patrones

Question 29

Predictive Analytics (prɪˈdɪktɪv ænəˈlɪtɪks)

Answer 29

Analítica Predictiva

Question 30

Probability (ˌprɑbəˈbɪlɪti)

Answer 30

Probabilidad

Question 31

Python (ˈpaɪˌθɑn)

Answer 31

Python

Question 32

Regression (rɪˈɡrɛʃən)

Answer 32

Regresión

Question 33

Reinforcement Learning (ˌriɪnˈfɔrsmənt ˈlɜrnɪŋ)

Answer 33

Aprendizaje por Refuerzo

Question 34

Sampling (ˈsæmplɪŋ)

Answer 34

Muestreo

Question 35

Scaling (ˈskeɪlɪŋ)

Answer 35

Escalado

Question 36

Simulation (ˌsɪmjuˈleɪʃən)

Answer 36

Simulación

Question 37

Statistical Analysis (stəˈtɪstɪkəl əˈnælɪsɪs)

Answer 37

Análisis Estadístico

Question 38

Supervised Learning (ˈsupərˌvaɪzd ˈlɜrnɪŋ)

Answer 38

Aprendizaje Supervisado

Question 39

Support Vector Machine (səˈpɔrt ˈvɛktər məˈʃin)

Answer 39

Máquina de Vectores de Soporte

Question 40

TensorFlow (ˈtɛnsərfloʊ)

Answer 40

TensorFlow

Question 41

Time Series (taɪm ˈsɪriz)

Answer 41

Serie Temporal

Question 42

Training Data (ˈtreɪnɪŋ ˈdeɪtə)

Answer 42

Datos de Entrenamiento

Question 43

Transformation (ˌtrænsfərˈmeɪʃən)

Answer 43

Transformación

Question 44

Unsupervised Learning (ˌʌnˈsupərˌvaɪzd ˈlɜrnɪŋ)

Answer 44

Aprendizaje No Supervisado

Question 45

Validation (ˌvæləˈdeɪʃən)

Answer 45

Validación

Question 46

Variance (ˈvɛriəns)

Answer 46

Varianza

Question 47

Visualization (ˌvɪʒuələˈzeɪʃən)

Answer 47

Visualización