Maschinelles Lernen Kurse
ML-Kurse können Ihnen helfen zu lernen, wie Modelle entwickelt, trainiert und bewertet werden. Sie können Fähigkeiten in Algorithmen, Datenaufbereitung, Modelloptimierung und Analyse aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und Beispielprojekte vor.
Beliebte Maschinelles Lernen Kurse & Zertifikate
Kompetenzen, die Sie erwerben: AI literacy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Model Evaluation, Machine Learning Methods
Status: NeuStatus: Kostenloser TestzeitraumCoursera
Kompetenzen, die Sie erwerben: Quantitative Research, Model Optimization, Prompt Engineering, Retrieval-Augmented Generation, LangChain, Python Programming
Kompetenzen, die Sie erwerben: AI Security, Responsible AI, Information Privacy, Cloud Security, Federated Learning, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Ethics, Data Security, Data Governance, Encryption
Google Cloud
Kompetenzen, die Sie erwerben: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, Model Training, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, SQL
Status: VorschauKompetenzen, die Sie erwerben: Responsible AI, AI literacy, Data Ethics, Model Evaluation, Artificial Intelligence, Applied Machine Learning, Data Analysis, Machine Learning Methods, Machine Learning
Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning
Clemson University
Kompetenzen, die Sie erwerben: Human Computer Interaction, Large Language Modeling, Database Management, Dimensionality Reduction, Database Design, Database Management Systems, Generative AI, MySQL, Model Evaluation, Model Optimization, Software Development Methodologies, Usability, Data Preprocessing, Data Mining, Data Structures, Systems Development Life Cycle, Responsible AI, Algorithms, Machine Learning Methods, Human Factors
Status: NeuStatus: VorschauKompetenzen, die Sie erwerben: Cloud Computing Architecture, MySQL, Cloud Applications, Cloud Development, Google Cloud Platform, Back-End Web Development, Restful API, Data Persistence, Database Development, Verification And Validation, Systems Architecture, Databases, Application Programming Interface (API), Server Side, Application Development
Kompetenzen, die Sie erwerben: Responsible AI, AI literacy, Data Ethics, Artificial Intelligence, Service Design, Artificial Intelligence and Machine Learning (AI/ML)
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Big Data, Analytics, Data Analysis, Model Training, Applied Machine Learning, Model Deployment, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling
- Status: NeuStatus: Kostenloser Testzeitraum
Mehrere Erzieher
Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, Google Cloud Platform, AI Product Strategy, Artificial Intelligence, AI literacy, Open Source Technology, Data Preprocessing, Model Evaluation, Machine Learning
Zusammenfassend finden Sie hier 10 unsere beliebtesten machine learning Kurse
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Model Data in Weaviate: Coursera
- Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
- 透過 BigQuery 機器學習執行推論作業: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Italiano: Google Cloud
- Master of Science in Computer Science: Clemson University
- Build Cloud-Based Employee Management Systems : EDUCBA
- Responsible AI for Developers: Fairness & Bias - Polski: Google Cloud
- BigQuery ML を推論に使用する: Google Cloud
