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  • Combinatorial Algorithms Artificial Intelligence

Results for "combinatorial algorithms artificial intelligence"


  • Status: Free
    Free
    A

    Amazon Web Services

    Security, Compliance, and Governance for AI Solutions

    Skills you'll gain: Responsible AI, Data Governance, AWS Identity and Access Management (IAM), Cloud Security, Amazon Web Services, Cyber Governance, Information Systems Security, Security Controls

    4.5
    Rating, 4.5 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of the Arts London

    Creative AI: Text and Transformations

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, OpenAI, Writing and Editing, Artificial Intelligence, Machine Learning Methods, Responsible AI, Natural Language Processing, Writing, Data Ethics, Artificial Neural Networks, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Generative AI, Generative Model Architectures, Software Architecture, Systems Architecture, Machine Learning Methods, PyTorch (Machine Learning Library), Large Language Modeling, Image Analysis, Performance Tuning, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Processing, Supervised Learning, Data Integration, Data Modeling, Data Cleansing, Big Data, Data Science, Machine Learning Algorithms, Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Quality, Analysis, Data Analysis, Data Presentation

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    162 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud AI Infrastructure

    Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Security, Compliance, and Governance for AI Solutions: Amazon Web Services
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Programming Generative AI: Unit 1: Pearson
  • Creative AI: Text and Transformations: University of the Arts London
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Creating Multi Task Models With Keras: Coursera

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