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  • Machine Learning Methods

Results for "machine learning methods"


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    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Advanced Architectures and Deployment

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Distributed Computing, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Performance Tuning, NumPy, Object Oriented Programming (OOP), Heat Maps, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Data Science with Python: Analyze & Visualize

    Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Data Cleansing, Scatter Plots, Matplotlib, Scripting, Python Programming, NumPy, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Programming Principles, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Learn Generative AI with LLMs

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    811 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Linear Regression with R: Build & Optimize: EDUCBA
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Data Science with Python: Analyze & Visualize: EDUCBA
  • Learn Generative AI with LLMs: Edureka
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Generative AI Engineering with LLMs: IBM

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