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    Results for "machine learning methods"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, C and C++, System Programming, Linear Algebra, Computer Graphics, Distributed Computing, Computer Vision, Computer Systems, Programming Principles, Data Processing, OS Process Management, Data Structures, Machine Learning

      Build toward a degree

      2.8
      Rating, 2.8 out of 5 stars
      ·
      172 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Building Cloud Computing Solutions at Scale

      Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, CI/CD, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Microservices, Continuous Delivery, Applied Machine Learning, Extract, Transform, Load, Cloud API, Google Cloud Platform, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      470 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      University of Glasgow

      6G Vision: ML, Intelligent Surfaces & Optical Networks

      Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, Information Technology, Machine Learning, Trustworthiness

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, HR Tech, ChatGPT, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, LLM Application, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Image Quality, Employee Engagement, Machine Learning, Recruitment, Performance Appraisal

      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
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents and Agentic AI in Python: Powered by Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, LLM Application, Productivity, OpenAI, Agentic systems, Tool Calling, Generative AI, Artificial Intelligence, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Application Development, Creative Problem-Solving, Prototyping, Persona (User Experience), Business Logic, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      168 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Searches related to machine learning methods

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

    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Foundations and Core Concepts of PyTorch: Packt
    • GPU Programming: Johns Hopkins University
    • Perform data science with Azure Databricks: Microsoft
    • Building Cloud Computing Solutions at Scale: Duke University
    • 6G Vision: ML, Intelligent Surfaces & Optical Networks: University of Glasgow
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • A Crash Course in Data Science: Johns Hopkins University
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Data Science Fundamentals Part 1: Unit 1: Pearson

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