Skill Set der saracus Data Scientists

Machine Learning Algorithmen

pro Kategorie die wichtigsten Vertreter

NLP Basic, CV Basic, Feature Selection, Ensemble, Dimensionality Reduction, Deep Learning, Artifical Neural Network, Association Rule Learning, Clustering, Bayesioan, Decision Tree, Regularization, Instance-Based Regression

 

Mathematik und Statistik

lineare Algebra
Statistik

Technologien

mind. 1 Vertreter

Data Visualization
Data Preperation, ETL, SQL, RDBMS
Cloud (AWS, Azure, Google)
Frameworks & Libraries
Python, Scala, R und mehr!
Data Science Platform
APIs für MLP, CV, etc.

Education & Softskills

PhD or Master in Natural Science
Communication Skills
Intellectual Curiosity

Project Management

Scrum
Kanban
Methodologien: CRISP, TDSC
…und mehr!

Requirement Analysis

Domain Know-How
Design Thinking
Lean Startup

Model Development Process

Model Building

Supervised Learning
Unsupervised Learning
Reinforcement Learning

Model Optimization

Hyper-Parameter Tuning
Gradient Descent
SGD
Ensemble
Boosting

Model Evaluation

Precision-Recall
F-measure
Log-loss
MSE, RSME, RSS
Cross Validation

Feature Selection

PCS
LSH
SVD

Feature Transformation

Normalizer
Vector Indexer
One Host Encoder
Stop Words Remote
Tokenizer
nn-gram, PCS

Feature Extraction

TF-IDF(Hashing TF & IDF)
Word2Vec
Count Vectorizer

Eine Spezialisierung pro Data Scientist

Computer Vision

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Natural Language Processing

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Time Series

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