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Erkunden Sie den Robotics-Kurskatalog
Status: Kostenloser TestzeitraumUniversity of California, Davis
Kompetenzen, die Sie erwerben: Digital Transformation, Emerging Technologies, Artificial Intelligence, Digital Assets, Digital Marketing, Artificial Neural Networks, Social Media, Web Development, Deep Learning, Persuasive Communication, Human Computer Interaction, Machine Learning, Business Ethics, Algorithms, Cryptography, Decision Making
Northwestern University
Kompetenzen, die Sie erwerben: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra
Coursera Project Network
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Applied Machine Learning, Image Analysis, Feature Engineering, Digital Communications, Deep Learning, Artificial Neural Networks, Telecommunications
Status: Kostenloser TestzeitraumGoogle Cloud
Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Application Deployment, Data Pipelines, Artificial Neural Networks, Applied Machine Learning, Data Processing, Data Import/Export, Regression Analysis
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks
Status: Kostenloser TestzeitraumUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Dimensionality Reduction, Feature Engineering
Status: Kostenloser TestzeitraumUniversità di Napoli Federico II
Kompetenzen, die Sie erwerben: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation
Status: NeuNortheastern University
Kompetenzen, die Sie erwerben: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Computer Vision, Applied Mathematics, Machine Learning, Network Architecture, Probability & Statistics
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Large Language Modeling, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Machine Learning Methods, Natural Language Processing
Northwestern University
Kompetenzen, die Sie erwerben: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra
Google Cloud
Kompetenzen, die Sie erwerben: Natural Language Processing, Generative AI, Large Language Modeling, Artificial Neural Networks, Artificial Intelligence
Zusammenfassend finden Sie hier 10 unsere beliebtesten robotics Kurse
- Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain: University of California, Davis
- 현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: Northwestern University
- Classify Radio Signals with PyTorch: Coursera Project Network
- Intro to TensorFlow em Português Brasileiro: Google Cloud
- Modeling Time Series and Sequential Data: SAS
- Trees, SVM and Unsupervised Learning: University of Colorado Boulder
- Machine Learning e Data Mining in R: Università di Napoli Federico II
- Generative AI: Foundations and Concepts: Northeastern University
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- H2O ai Large Language Models (LLMs) - Level 1: H2O.ai
