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  • Genetic Algorithms

Results for "genetic algorithms"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Development Environment, User Interface (UI), Solution Design, Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Model Deployment, Natural Language Processing, AI Enablement, Analytics, Data Analysis, Artificial Intelligence, Self Service Technologies, Application Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Code Yourself! An Introduction to Programming

    Skills you'll gain: Game Design, Software Engineering, Programming Principles, Software Development, Software Design, Computer Programming, Computational Thinking, Debugging, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Interactive Computer Graphics

    Skills you'll gain: Visualization (Computer Graphics), Interactive Design, Computer Graphics, Computer Graphic Techniques, Human Computer Interaction, Animation and Game Design, User Interface (UI), Robotics, 3D Assets, Algorithms, Simulations

    4
    Rating, 4 out of 5 stars
    ·
    316 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Artificial Intelligence, Logical Reasoning, Deductive Reasoning, Simulations, Computer Vision, Programming Principles, Computer Science, Algorithms, Machine Learning, Game Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular genetic algorithms courses

  • Deep Learning: DeepLearning.AI
  • Practical Machine Learning: Johns Hopkins University
  • Introductory C Programming: Duke University
  • AI Foundations for Everyone: IBM
  • Code Yourself! An Introduction to Programming: The University of Edinburgh
  • Interactive Computer Graphics: The University of Tokyo
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Machine Learning: Classification: University of Washington
  • Applied Machine Learning in Python: University of Michigan
  • Algorithmic Thinking (Part 1): Rice University

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