NLP-Kurse können Ihnen helfen zu verstehen, wie Texte verarbeitet, analysiert und modelliert werden. Sie können Fähigkeiten in Tokenisierung, Klassifikation, Sprachmodellen und Evaluationsmethoden aufbauen. Viele Kurse stellen Bibliotheken, Tools und strukturierte Beispiele vor.
Die im gesamten Kurs, sowohl für Anweisungen als auch Bewertungen, verwendete Sprache.
DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning
★ 4.7 (25.392) · Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Model Training, Applied Machine Learning, Artificial Intelligence, Data Preprocessing, Machine Learning
★ 4.8 (19.736) · Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8684) · Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture
★ 4.9 (42.585) · Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology
★ 4.7 (2068) · Mittel · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
★ 4.8 (1373) · Anfänger · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3825) · Mittel · Kurs · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning
★ 4.7 (5162) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression
★ 4.5 (4232) · Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Imperial College London
Kompetenzen, die Sie erwerben: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Machine Learning, Applied Mathematics, Linear Algebra, Artificial Neural Networks, Derivatives
★ 4.7 (5773) · Anfänger · Kurs · 1–3 Monate

University of Illinois Urbana-Champaign
Kompetenzen, die Sie erwerben: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning
★ 4.5 (2949) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)
★ 4.7 (423) · Mittel · Kurs · 1–4 Wochen