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    Results for "ai/ml inference"

    • I

      ISACA

      Auditing Generative AI: Strategy, Analysis & Risk Mitigation

      Skills you'll gain: Generative AI, Auditing, Compliance Auditing, Internal Auditing, Risk Analysis, Prompt Engineering, Risk Management, OpenAI, Business Risk Management, Artificial Intelligence, Risk Mitigation, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      819 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Managing Machine Learning Projects with Google Cloud

      Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Technical Management, IT Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Strategy, Business Ethics, Data Governance, Innovation, Feasibility Studies, Business Analysis, Project Management Life Cycle

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Computers

      Skills you'll gain: Business Software, Computer Hardware, Hardware Architecture, Generative AI, Operating Systems, Data Storage Technologies, Data Loss Prevention, Computer Systems, Enterprise Security, Information Technology, OS Process Management, System Configuration, Microsoft Windows, Technical Support, Servers, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      693 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Bayesian Statistics

      Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution

      3.8
      Rating, 3.8 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Data Analytics

      Skills you'll gain: Data Storytelling, Data Governance, Data Presentation, Data Management, Data Pipelines, Data Visualization Software, Dashboard, Data Lakes, Data Architecture, Cloud Infrastructure, Generative AI, Data Infrastructure, Data Cleansing, Data Transformation, Cloud Computing, Data Access, Data Storage Technologies, Data Ethics, Data Analysis, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      162 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Mathematical Modeling, Exploratory Data Analysis, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University at Buffalo

      Digital Manufacturing & Design

      Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Industrial Engineering, Business Transformation, Digital Design, Data-Driven Decision-Making, Product Lifecycle Management, Supply Chain, Market Dynamics, Safety and Security, Workforce Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      731 reviews

      Intermediate · Course · 1 - 3 Months

    1…303132…201

    In summary, here are 10 of our most popular ai/ml inference courses

    • Auditing Generative AI: Strategy, Analysis & Risk Mitigation: ISACA
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Introduction to Data Analytics: Meta
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Managing Machine Learning Projects with Google Cloud: Google Cloud
    • Introduction to Computers: Microsoft
    • Bayesian Statistics: Duke University
    • Google Cloud Data Analytics: Google Cloud
    • Linear Regression and Modeling : Duke University
    • Introduction to Neural Networks and PyTorch: IBM

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