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    Results for "machine learning methods"

    • Status: Free Trial
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      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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Educators

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Personalization, Responsible AI, Data Ethics, ChatGPT, Education Software and Technology, Anthropic Claude, Learning Management Systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Information Privacy, Emerging Technologies, Data Security, Mitigation

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

      Beginner · Specialization · 1 - 3 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
      P

      Packt

      Modern Natural Language Processing

      Skills you'll gain: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms

      Intermediate · Specialization · 3 - 6 Months

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

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 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 Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, 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
      ·
      674 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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, Software Visualization, Performance Tuning, Scientific Visualization, NumPy, Object Oriented Programming (OOP), Network Architecture

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      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
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Machine Learning Methods, Generative AI, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

      4.8
      Rating, 4.8 out of 5 stars
      ·
      865 reviews

      Mixed · Course · 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

    • Device-based Models with TensorFlow Lite: DeepLearning.AI
    • Generative AI for Educators: IBM
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Modern Natural Language Processing: Packt
    • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
    • Quick Start Guide to Large Language Models (LLMs): Pearson
    • Generative AI Engineering with LLMs: IBM
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Natural Language Processing with Sequence Models: DeepLearning.AI

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