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  • Machine Learning Algorithms

Results for "machine learning algorithms"


  • C

    Coursera

    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
    ·
    172 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Project Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Project Management, LLM Application, Project Management Life Cycle, Data Ethics, AI Product Strategy, Work Breakdown Structure, Team Oriented, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Project Documentation, Deep Learning, Business Ethics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K 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: 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

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Deep Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.2K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Generative AI Essentials

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, LLM Application, Data Ethics, Image Analysis, Business Ethics, OpenAI, ChatGPT, Ethical Standards And Conduct, AI Product Strategy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Data Processing, Data Science

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Decoding Large Language Models

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Prompt Engineering, Generative AI, Deep Learning, Natural Language Processing, Responsible AI, Application Deployment, Scalability, Operational Efficiency, Machine Learning, Performance Tuning, Systems Integration

    Advanced · Course · 3 - 6 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

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1…818283…546

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

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Generative AI for Project Managers: IBM
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Introduction to Computer Vision and Image Processing: IBM
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Google Prompting Essentials: Google
  • Generative AI Essentials: Alberta Machine Intelligence Institute
  • Decoding Large Language Models: Packt

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