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.

Northeastern University
Abschlusszertifikat · 6–12 Monate
Mehrere Erzieher
Anfänger · Spezialisierung
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, User Research, User Experience Design, User Experience, Power Electronics, User Interface and User Experience (UI/UX) Design, Usability, Verification And Validation, UI/UX Research, UI/UX Strategy, Data Preprocessing, Control Systems, Embedded Software, Internet Of Things, Machine Controls, User Interface (UI), Engineering, Scientific, and Technical Instruments, Embedded Systems
Abschlusszertifikat · 6–12 Monate
Universidad de los Andes
Kompetenzen, die Sie erwerben: Social Network Analysis, Network Analysis, Data Storytelling, Data Presentation, Portfolio Management, Marketing Analytics, Financial Data, Product Marketing, Interactive Data Visualization, Statistical Machine Learning, Marketing Management, Marketing Operations, Machine Learning Methods, Data Visualization, Time Series Analysis and Forecasting, Operations Research, Model Optimization, Model Deployment, Natural Language Processing, Scikit Learn (Machine Learning Library)
MasterTrack · 6–12 Monate
Universidad de los Andes
Kompetenzen, die Sie erwerben: User Story, Unified Modeling Language, Test Automation, Version Control, Continuous Integration, Software Testing, Software Architecture, Git (Version Control System), Maintainability, Test Data, Test Script Development, Agile Methodology, JavaScript Frameworks, Usability, Web Content Accessibility Guidelines, Software Design, Application Frameworks, Software Design Patterns, Test Planning, Angular
MasterTrack · 6–12 Monate

University of Huddersfield
Kompetenzen, die Sie erwerben: Linear Algebra, Graph Theory, Statistical Software, Computational Logic, Integral Calculus, Matplotlib, Probability & Statistics, Statistical Programming, Plot (Graphics), Calculus, R Programming, Differential Equations, Data Processing, Data Visualization Software, Applied Mathematics, Theoretical Computer Science, Logical Reasoning, General Mathematics, Advanced Mathematics, Mathematical Modeling
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 London
Kompetenzen, die Sie erwerben: Human Computer Interaction, Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Data Transformation, Combinatorics, Database Design, Model Evaluation, Web Development, Generative AI
Abschlusszertifikat · 6–12 Monate

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, Dimensionality Reduction, Data Preprocessing, Web Scraping, Statistical Modeling, Python Programming
Abschluss · 1–4 Jahre