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  • Artificial Inte

Results for "artificial inte"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Data Infrastructure, Google Cloud Platform, Machine Learning, Cloud Security, Data Analysis, Data Governance, Data Strategy, Data Storage Technologies, Data Migration, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Español

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Data Cleansing, Application Deployment, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Fraud Analysts: Improving Detection Efficiency

    Skills you'll gain: Anomaly Detection, Fraud detection, Data Visualization, Generative AI, Risk Management, ChatGPT, Data Synthesis, Compliance Management, Unsupervised Learning, Test Data, Data Pipelines, Automation, Predictive Analytics, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Chatbots

    Skills you'll gain: Collaborative Software, Amazon Web Services, Tensorflow, Applied Machine Learning, LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, Data Processing, Python Programming, Predictive Modeling, PySpark, Regression Analysis, Data Analysis, Jupyter, Machine Learning, Google Cloud Platform, Big Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to artificial inte

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1…155156157…207

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

  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • GenAI for Data Scientists: Coursera
  • GenAI for Fraud Analysts: Improving Detection Efficiency: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Chatbots: Johns Hopkins University
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn

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