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Erkunden Sie den Deep Learning-Kurskatalog
Coursera Project Network
Kompetenzen, die Sie erwerben: Constructive Feedback, Parent Communication, Classroom Management, Education Software and Technology, Organizational Skills, Collaborative Software, Teaching, Productivity Software, Learning Management Systems, Student Engagement, Portfolio Management, Content Management
Status: VorschauPolitecnico di Milano
Kompetenzen, die Sie erwerben: Teaching, Pedagogy, Course Development, Instructional and Curriculum Design, Instructional Strategies, Curriculum Planning, Student-Centred Learning, Innovation, Quality Assessment, Infographics
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
Status: Kostenloser TestzeitraumUniversity of Alberta
Kompetenzen, die Sie erwerben: Maschinelles Lernen, Algorithmen, Reinforcement Learning, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), Algorithmen für maschinelles Lernen, Leistungsoptimierung, Markov-Modell, Leistungstests, Simulationen, Künstliche neuronale Netze
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, Data Manipulation, Verification And Validation, Pandas (Python Package), Histogram
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Scalability, Time Series Analysis and Forecasting, Predictive Modeling, Programming Principles, Data Import/Export, Exploratory Data Analysis, Scripting, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning, File Management, Mathematical Software
Status: Kostenloser TestzeitraumImperial College London
Kompetenzen, die Sie erwerben: Regressionsanalyse, Algorithmen für maschinelles Lernen, Infinitesimalrechnung, Python-Programmierung, Künstliche neuronale Netze, Statistische Analyse, Derivate, Fortgeschrittene Mathematik, Lineare Algebra
Status: Kostenloser TestzeitraumUniversity of Glasgow
Kompetenzen, die Sie erwerben:
Status: VorschauThe University of Tokyo
Kompetenzen, die Sie erwerben: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Engineering Documentation, Science and Research, Materials science
Status: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Distributed Computing, Applied Machine Learning, Scalability, Data Pipelines, Data Processing
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Wireless Networks, Control Systems, Interactive Design, Software Installation, Basic Electrical Systems, Hardware Design, Display Devices, Integrated Development Environments, Product Development, Electronic Systems, Embedded Systems, Electronic Components, Computer Programming Tools, Development Environment, Electrical Wiring, Programming Principles, Open Source Technology
Zusammenfassend finden Sie hier 10 unsere beliebtesten deep learning Kurse
- Inspire Student Learning with Showbie: Coursera Project Network
- Designing Learning Innovation: an introduction: Politecnico di Milano
- Supervised Learning Regression Classification Clustering: Simplilearn
- Ein vollständiges System zum Verstärkungslernen (Capstone): University of Alberta
- Linear Regression & Supervised Learning in Python: EDUCBA
- Octave Machine Learning: Apply, Analyze & Build: EDUCBA
- Mathematik für maschinelles Lernen: Multivariate Kalkulation: Imperial College London
- Machine Learning and its Applications: University of Glasgow
- Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
- Foundations of Statistical Learning & Algorithms: Northeastern University
