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    Results for "machine learning methods"

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      346 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      730 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Project Managers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Project Management, LLM Application, Project Management Life Cycle, Case Studies, Work Breakdown Structure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Project Documentation, Machine Learning, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Probability Theory and Regression for Predictive Analytics

      Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Building AI-Powered Application with .NET

      Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      프로덕션 머신러닝 시스템

      Skills you'll gain: MLOps (Machine Learning Operations), Performance Tuning, Tensorflow, Applied Machine Learning, Systems Design, Google Cloud Platform, Data Validation, Machine Learning, Distributed Computing, Scalability, Mobile Development Tools, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Engineers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, ChatGPT, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Artificial Intelligence, Machine Learning, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    Searches related to machine learning methods

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

    • IBM AI Enterprise Workflow: IBM
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Google Advanced Data Analytics: Google
    • Quick Start Guide to Large Language Models (LLMs): Pearson
    • Generative AI for Project Managers: IBM
    • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Computational Neuroscience: University of Washington
    • Python: Logistic Regression & Supervised ML: EDUCBA
    • Building AI-Powered Application with .NET: Packt

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