Filtern nach
BetreffErforderlich
SpracheErforderlich
Die im gesamten Kurs, sowohl für Anweisungen als auch Bewertungen, verwendete Sprache.
LernproduktErforderlich
NiveauErforderlich
DauerErforderlich
UntertitelErforderlich
LehrkraftErforderlich
Erkunden Sie den Machine Learning-Kurskatalog
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Supervised Learning, Network Architecture, Data Processing
Kompetenzen, die Sie erwerben: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis
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: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms
Status: VorschauUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Maschinelles Lernen, Tensorflow, Algorithmen, Deep Learning, Künstliche Intelligenz, Angewandtes maschinelles Lernen, Computergrafik, Bildanalyse, Feature Technik, Computervision, Künstliche neuronale Netze, Methoden des Maschinellen Lernens
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: Kostenloser TestzeitraumSimplilearn
Kompetenzen, die Sie erwerben: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
Status: Kostenloser TestzeitraumDeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Algorithmen, Deep Learning, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), PyTorch (Bibliothek für Maschinelles Lernen), Angewandtes maschinelles Lernen, Keras (Bibliothek für Neuronale Netze), Bildanalyse, Feature Technik, Künstliche neuronale Netze, Computervision
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy
Zusammenfassend finden Sie hier 10 unsere beliebtesten machine learning Kurse
- Advanced ML Algorithms & Unsupervised Learning: Packt
- Practical Deep Learning with Python: Edureka
- Deep Learning - Crash Course 2023: Packt
- Supervised Learning Regression Classification Clustering: Simplilearn
- Statistical Learning for Engineering Part 2: Northeastern University
- Statistical Learning for Engineering Part 1: Northeastern University
- Deep Learning-Anwendungen für Computer Vision: University of Colorado Boulder
- Linear Regression & Supervised Learning in Python: EDUCBA
- AI & Deep Learning Concepts and Applications: Simplilearn
- Faltungsneuronale Netzwerke: DeepLearning.AI
