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  • Artificial Intelligence And Machine Learning Ai Ml

Results for "artificial intelligence and machine learning (ai/ml)"


  • Status: New
    New
    Status: Preview
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    B

    Board Infinity

    ML Model Deployment: Build a Production API with FastAPI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Application Deployment, Cloud Deployment, Docker (Software), Containerization, Continuous Deployment, DevOps, API Testing, CI/CD, Kubernetes, Model Evaluation, Test Tools, Applied Machine Learning, Data Validation, Application Programming Interface (API), API Design, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineering and Deployment

    Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Develop Production-Ready ML APIs with MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Machine Learning Methods, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Applied Machine Learning, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Market Intelligence and Audience Insights

    Skills you'll gain: Product Marketing, Market Research, Competitive Intelligence, Market Intelligence, Customer Insights, Go To Market Strategy, Customer Analysis, Strategic Marketing, Market Analysis, Market Dynamics, Pivot Tables And Charts, Internal Communications, Target Market, Competitive Analysis, Market Opportunities, Customer Retention, Demand Planning, Report Writing, Microsoft Excel, Target Audience

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Digital Healthcare Informatics and AI

    Skills you'll gain: Health Informatics, Epidemiology, Clinical Informatics, Health Information Management and Medical Records, Epic EMR, Patient Flow, Public Health, Health Systems, Public Health and Disease Prevention, Innovation, Health Care, Healthcare Project Management, Data Analysis, Health Policy, Data Management, Natural Language Processing, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Regulatory Compliance

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular artificial intelligence and machine learning (ai/ml) courses

  • ML Model Deployment: Build a Production API with FastAPI: Board Infinity
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • AI Engineering and Deployment: Packt
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Build Robust Java ML Models with Entropy: Coursera
  • Develop Production-Ready ML APIs with MLOps: Coursera
  • Traverse Trees for ML with DFS & BFS: Coursera
  • AWS: ML Workflows with SageMaker, Storage & Security: Whizlabs
  • Market Intelligence and Audience Insights: Coursera

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