Natural Language Processing (NLP) Kurse
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.
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Beliebte Natural Language Processing (NLP) Kurse & Zertifikate
Status: KostenlosDeepLearning.AI
Kompetenzen, die Sie erwerben: Embeddings, Large Language Modeling, LLM Application, Anomaly Detection, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, Google Cloud Platform, Text Mining, Natural Language Processing, Vector Databases, Unsupervised Learning, Python Programming
Status: Kostenloser TestzeitraumUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction
Status: VorschauDeepLearning.AI
Kompetenzen, die Sie erwerben: AI Enablement, AI Product Strategy, Artificial Intelligence, AI literacy, Responsible AI, Business Strategy, Applied Machine Learning, Team Building, Data Ethics, Data Science, Artificial Neural Networks, Machine Learning, Deep Learning, Social Impact, Sales, Writing
Status: VorschauKompetenzen, die Sie erwerben: Amazon Bedrock, Prompt Engineering, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning, Model Evaluation, Natural Language Processing
Status: VorschauKompetenzen, die Sie erwerben: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Decision Intelligence, Markov Model, Algorithms, Programming Principles, Probability & Statistics, Data-Driven Decision-Making
Status: Kostenloser TestzeitraumLearnQuest
Kompetenzen, die Sie erwerben: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
Kompetenzen, die Sie erwerben: Model Evaluation, ChatGPT, Fine-tuning, Keras (Neural Network Library), Model Training, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning
Status: Kostenloser TestzeitraumUniversity of California San Diego
Kompetenzen, die Sie erwerben: Model Evaluation, Predictive Modeling, Model Training, Predictive Analytics, Verification And Validation, Statistical Modeling, Model Optimization, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Text Mining, Classification Algorithms, Natural Language Processing
Status: Kostenloser TestzeitraumDuke University
Kompetenzen, die Sie erwerben: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence, Model Optimization, Data Preprocessing, Regression Analysis, Software Installation, System Configuration
Status: VorschauDeepLearning.AI
Kompetenzen, die Sie erwerben: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Performance Tuning, Python Programming, NumPy, Jupyter
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Machine Learning, Data Processing, Linear Algebra
Zusammenfassend finden Sie hier 10 unsere beliebtesten nlp Kurse
- Understanding and Applying Text Embeddings: DeepLearning.AI
- Statistical Learning for Data Science: University of Colorado Boulder
- KI für alle: DeepLearning.AI
- Prüfungsvorbereitung AIF-C01: AWS Certified AI Practitioner: Whizlabs
- KI und maschinelles Lernen: Anwenden, Entwickeln & Lösen: EDUCBA
- Modelle für maschinelles Lernen in der Wissenschaft: LearnQuest
- Maschinelles Lernen mit ChatGPT: Modell zur Bildklassifizierung: Coursera
- Aussagekräftige prädiktive Modellierung: University of California San Diego
- Interpretierbares maschinelles Lernen: Duke University
- Grundlagen und Kernkonzepte von PyTorch: Packt
