Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.
Universidad de los Andes
Kompetenzen, die Sie erwerben: User Story, Continuous Integration, Version Control, Test Driven Development (TDD), Software Testing, Test Automation, Git (Version Control System), Software Architecture, Maintainability, JavaScript Frameworks, Usability, Web Content Accessibility Guidelines, Test Script Development, Software Design, Application Frameworks, Regression Testing, Test Data, Software Design Patterns, Angular, Unified Modeling Language
MasterTrack · 6–12 Monate

Georgetown University
Kompetenzen, die Sie erwerben: Data Storytelling, Vulnerability Assessments, Operations Management, Surveys, Business Strategy, Competitive Intelligence, Design Thinking, Cyber Threat Intelligence, Machine Learning Methods, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, Leadership Studies, International Relations, Supplier Risk Management
Abschluss · 1–4 Jahre

O.P. Jindal Global University
Kompetenzen, die Sie erwerben: Research Design, Correlation Analysis, Social Sciences, Psychology, Statistics, Statistical Methods, Descriptive Statistics, Research Methodologies, Mental Health Diseases and Disorders, Research, Probability & Statistics, Human Learning, Social Skills, Interpersonal Communications, Learning Theory, Childhood Education and Development, Physiology, Positivity, Personal Development, Culture
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Graph Theory, Machine Learning Algorithms, Supervised Learning, File Systems, SQL, Software Engineering, Data Visualization, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Artificial Intelligence, Predictive Modeling, Data Science, Natural Language Processing
Abschluss · 1–4 Jahre

University of Leeds
Kompetenzen, die Sie erwerben: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Statistical Hypothesis Testing, Classification And Regression Tree (CART), Data Storytelling, R (Software), Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Data Visualization, Statistical Visualization, Supervised Learning, Network Analysis, Data Preprocessing, Web Scraping, Correlation Analysis, Statistical Modeling, Python Programming
Abschluss · 1–4 Jahre