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  • Artificial

Results for "artificial"


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    IBM Data Topology

    Skills you'll gain: Multi-Cloud, Data Architecture, Data Flow Diagrams (DFDs), Multi-Tenant Cloud Environments, Dataflow, Data Management, Regulatory Compliance, Information Architecture, Data Infrastructure, AI Enablement, Data Integration, Data Strategy, Data Science, Strategic Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Artificial Neural Networks, Transfer Learning, Programming Principles, Data Management

    4.2
    Rating, 4.2 out of 5 stars
    ·
    54 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Model Evaluation, Algorithms, Supervised Learning, Linear Algebra, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computational Vision

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini in Google Drive

    Skills you'll gain: Google Gemini, Prompt Engineering, Google Workspace, Generative AI, Artificial Intelligence, AI Workflows, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edureka

    GitHub Copilot: The AI Pair Programmer for Coding

    Skills you'll gain: AI Enablement, Development Environment, Computer Programming Tools, Prompt Engineering

    4.2
    Rating, 4.2 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Google Cloud Product Fundamentals en Français

    Skills you'll gain: Digital Transformation, Google Workspace, Google Cloud Platform, Collaborative Software, Cloud Applications, Leadership, Cloud Infrastructure, Technology Strategies, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Cost Management, Application Development, Machine Learning, Infrastructure Architecture, Cloud Storage, Cloud Security, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to artificial

artificial intelligence
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artificial intelligence in marketing
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artificial intelligence: ethics & societal challenges
artificial intelligence and machine learning (ai/ml)
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1…118119120…207

In summary, here are 10 of our most popular artificial courses

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Machine Learning for Computer Vision: MathWorks
  • IBM Data Topology: IBM
  • Data Science con Python e R: Università di Napoli Federico II
  • Introduction to Neural Networks: Johns Hopkins University
  • Computational Vision: University of Colorado Boulder
  • Gemini in Google Drive: Google Cloud
  • Developing Machine Learning Solutions: Amazon Web Services
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • GitHub Copilot: The AI Pair Programmer for Coding: Edureka

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