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    Results for "mlops (machine learning operations)"

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      46 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning, Data Science, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      276 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Natural Language Processing, Time Series Analysis and Forecasting, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      182 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Beginner · Project · Less Than 2 Hours

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    In summary, here are 10 of our most popular mlops (machine learning operations) courses

    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network
    • Machine Learning with Python: IBM
    • Mathematics for Machine Learning: Imperial College London
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • AI For Everyone: DeepLearning.AI
    • Introduction to Machine Learning: Duke University
    • IBM Introduction to Machine Learning: IBM
    • Python Essentials for MLOps: Duke University
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Large Language Model Operations (LLMOps): Duke University

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