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  • Machine Learning Foundations

Results for "machine learning foundations"


  • C

    Coursera

    Queries with OpenAI: Translate Natural Text to SQL

    Skills you'll gain: OpenAI API, SQL, ChatGPT, Prompt Engineering, Pandas (Python Package), Natural Language Processing, Data Import/Export, Data Manipulation, Databases, Python Programming, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Sungkyunkwan University

    Introduction to Korean Philosophy and Culture

    Skills you'll gain: Culture, Cultural Diversity, Intercultural Competence, Liberal Arts, Language Learning, Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    215 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Object Tracking and Motion Detection with Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Fundamentals of Java Programming

    Skills you'll gain: Eclipse (Software), Java Programming, Object Oriented Programming (OOP), Java, Object Oriented Design, Integrated Development Environments, Development Environment, Computer Programming, Debugging, Virtual Machines, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    609 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: LLM Experimentation, Deployment, and Ethical AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Business Transformation and Career Growth

    Skills you'll gain: Generative AI, AI Product Strategy, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Content Creation, Business Transformation, New Business Development, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    237 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    TFX on Google Cloud Vertex Pipelines

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Cloud Deployment, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    866 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Front-End Apps with React

    Skills you'll gain: React Redux, React.js, JavaScript Frameworks, Front-End Web Development, Full-Stack Web Development, Web Design and Development, UI Components, Web Applications, Web Development, Javascript, JSON, Event-Driven Programming, Data Access, Application Programming Interface (API), Dataflow

    4.4
    Rating, 4.4 out of 5 stars
    ·
    756 reviews

    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 Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Hacia una práctica constructivista en el aula

    Skills you'll gain: Curriculum Development, Teaching, Instructional and Curriculum Design, Education Software and Technology, Digital pedagogy, Student-Centred Learning, Learning Theory, Peer Review, Student Engagement, Social Sciences, Interpersonal Communications, Cultural Diversity

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 3 Months

Searches related to machine learning foundations

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In summary, here are 10 of our most popular machine learning foundations courses

  • Queries with OpenAI: Translate Natural Text to SQL: Coursera
  • Introduction to Korean Philosophy and Culture: Sungkyunkwan University
  • Object Tracking and Motion Detection with Computer Vision: MathWorks
  • Fundamentals of Java Programming: Board Infinity
  • NVIDIA: LLM Experimentation, Deployment, and Ethical AI: Whizlabs
  • Generative AI: Business Transformation and Career Growth: IBM
  • TFX on Google Cloud Vertex Pipelines: Google Cloud
  • Combinatorics and Probability: University of California San Diego
  • Developing Front-End Apps with React: IBM
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz

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