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Results for "künstliche intelligenz und maschinelles lernen (ki/ml)"

  • Status: New
    New
    G

    Google Cloud

    Generative KI ist mehr als nur Chatbots

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, ChatGPT, Artificial Intelligence, Continuous Improvement Process

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Ihre Organisation mit generativen KI-Agenten voranbringen

    Skills you'll gain: Generative AI Agents, Prompt Engineering, Generative AI, AI Product Strategy, Innovation, Large Language Modeling, Tool Calling, Customer experience improvement, Business Strategy, Google Cloud Platform

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    DeepLearning.AI Mathematics for ML and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    332 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Einführung in Sicherheitskonzepte in der Welt der KI

    Skills you'll gain: Security Strategy, Responsible AI, Risking, Law, Regulation, and Compliance, Personally Identifiable Information, Threat Modeling, Data Security, Security Management, Information Assurance, Infrastructure Security, Cybersecurity, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    AI & ML Applications in Oil and Gas Industry

    Skills you'll gain: Oil and Gas, Petroleum Industry, Big Data, Data Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Anomaly Detection, Image Analysis, Process Control, Production Process, Energy and Utilities, Machine Learning, Automation, Physical Science, Natural Resource Management, 3D Modeling, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

1234…98

In summary, here are 10 of our most popular künstliche intelligenz und maschinelles lernen (ki/ml) courses

  • Generative KI ist mehr als nur Chatbots: Google Cloud
  • Ihre Organisation mit generativen KI-Agenten voranbringen: Google Cloud
  • DeepLearning.AI Mathematics for ML and Data Science: DeepLearning.AI
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • MathWorks Computer Vision Engineer: MathWorks
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Einführung in Sicherheitskonzepte in der Welt der KI: Google Cloud

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