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Neuronale Netze Kurse

Kurse zu neuronalen Netzen können Ihnen helfen zu lernen, wie Modelle aufgebaut, trainiert und optimiert werden. Sie können Fähigkeiten in Architekturdesign, Datenaufbereitung, Trainingstechniken und Modellbewertung aufbauen. Viele Kurse stellen Frameworks und Beispiele aus der KI-Praxis vor.


Beliebte Neuronale Netze Kurse & Zertifikate


  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Keras (Neural Network Library), Data Store, Big Data, Machine Learning, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Prompt Engineering, Data Ethics, Model Evaluation, Deep Learning, Data Science, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Large-Scale Database Systems

    Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Design, Database Management Systems, Database Systems, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Query Languages, Big Data, Databases, Data Processing, Machine Learning, SQL, Data Access

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro

    Skills you'll gain: Google Cloud Platform, Analytics, Systems Design, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Data Modeling, Cloud Engineering, Database Design, Data Infrastructure, Machine Learning, Data Quality, Scalability, Cloud Storage, Identity and Access Management

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Machine Learning with Implementation in Java

    Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam en Español

    Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Warehousing, Data Visualization, Model Deployment, Data Quality, Applied Machine Learning, Scalability, Cloud Security, Machine Learning, SQL, Cloud Storage

    Advanced · Course · 1 - 3 Months

Searches related to neural network

neural networks and deep learning
neural networks and random forests
neural network models
convolutional neural networks
artificial neural networks
introduction to neural networks
foundations of neural networks
convolutional neural networks in tensorflow
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In summary, here are 10 of our most popular neural network courses

  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Recommender Systems with Machine Learning: Packt
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Feature Engineering - 한국어: Google Cloud
  • Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals: Whizlabs
  • Large-Scale Database Systems: Johns Hopkins University
  • Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro: Google Cloud
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • Machine Learning with Implementation in Java: Board Infinity

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