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  • Machine Learning Fundamentals

Results for "machine learning fundamentals"


  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Bases teóricas de la gestión de la salud y las lesiones

    Skills you'll gain: Exercise Science, AI Enablement, Risk Modeling, Precision Medicine, Predictive Modeling, Load Balancing, Health Education, Machine Learning, Data Modeling, Real Time Data, Mathematical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Model Deployment, Federated Learning, Extract, Transform, Load, Image Analysis, Tensorflow, Data Preprocessing, Data Pipelines, Transfer Learning, Convolutional Neural Networks, iOS Development, Android Development, Computer Vision, Swift Programming, Data Processing, Model Evaluation, Mobile Development, JSON, Feature Engineering, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Kubernetes, Disaster Recovery, Google Cloud Platform, Site Reliability Engineering, Jenkins, Incident Management, Google App Engine, Business Continuity, Docker (Software), Cloud Infrastructure, Containerization, CI/CD, Identity and Access Management, Network Monitoring, System Monitoring, Big Data, Capacity Planning, Safety Culture, Continuous Improvement Process, Continuous Delivery

    4.7
    Rating, 4.7 out of 5 stars
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    54K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM iOS and Android Mobile App Developer

    Skills you'll gain: Prompt Engineering, React Native, Software Development Life Cycle, Flutter (Software), Large Language Modeling, LLM Application, Software Architecture, Swift Programming, Mobile Development, Apple Xcode, Android Studio, User Centered Design, Android Development, Apple iOS, Responsible AI, GitHub, Git (Version Control System), Cascading Style Sheets (CSS), Front-End Web Development, AI Personalization

    4.6
    Rating, 4.6 out of 5 stars
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    8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Back-End Developer

    Skills you'll gain: Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), API Testing, Back-End Web Development, Django (Web Framework), Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, HTML and CSS, Unit Testing, Algorithms, Python Programming, Computer Programming, Cloud Hosting

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Image Analysis, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Regression Analysis, Supervised Learning, Classification Algorithms, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Master AI & AWS Cloud Skills: Analyze, Build, Deploy

    Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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

  • Bases teóricas de la gestión de la salud y las lesiones: Real Madrid Graduate School Universidad Europea
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Engineer & Explain AI Model Decisions: Coursera
  • Engineer Features and Evaluate Models for Production: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Preparing for Google Cloud Certification: Cloud DevOps Engr: Google Cloud
  • IBM iOS and Android Mobile App Developer: IBM
  • Meta Back-End Developer: Meta
  • Introduction to Neural Networks and PyTorch: IBM
  • Automate, Analyze, and AI Feedback: Coursera

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