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    Results for "optimization techniques for machine learning"

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Foundations of Machine Learning

      Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Processing and Optimization with Generative AI

      Skills you'll gain: Data Ethics, Generative AI, Microsoft Copilot, Data Quality, Data Cleansing, Data Processing, Data Synthesis, Data Transformation, Data Integrity, Feature Engineering, Data Validation, Personally Identifiable Information, Information Privacy

      3.6
      Rating, 3.6 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      174 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Optimizing Machine Learning Performance

      Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, Production Planning, Data Maintenance, Maintainability, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      262 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Machine Learning Essentials

      Skills you'll gain: Statistical Machine Learning, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Inference, Predictive Modeling, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Machine Learning Fundamentals for Java Developers

      Skills you'll gain: Decision Tree Learning, Regression Analysis, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Data Security, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    1…567…834

    In summary, here are 10 of our most popular optimization techniques for machine learning courses

    • Foundations of Machine Learning : Fractal Analytics
    • Data Processing and Optimization with Generative AI: Microsoft
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
    • Advanced Machine Learning Algorithms: Fractal Analytics
    • Advanced Methods in Machine Learning Applications: Johns Hopkins University
    • Deep Learning and Reinforcement Learning: IBM
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Machine Learning Essentials: University of Pennsylvania
    • Machine Learning Fundamentals for Java Developers: Board Infinity

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