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    Results for "advanced machine learning"

    • 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, Applied Machine Learning, Data Processing, Artificial Neural Networks, Performance Tuning, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      660 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      345 reviews

      Advanced · Specialization · 3 - 6 Months

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

      Pearson

      Introduction to Transformer Models for NLP

      Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Deep Learning, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Generative Model Architectures, Responsible AI, OpenAI, ChatGPT, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Business Development, Deep Learning, Content Creation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      185 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.9K reviews

      Intermediate · 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
      ·
      730 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SPSS: Apply & Evaluate Cluster Analysis Techniques

      Skills you'll gain: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods

      Mixed · Course · 1 - 4 Weeks

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

      EDUCBA

      AI & Predictive Analytics with Python

      Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      841 reviews

      Intermediate · Course · 1 - 3 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
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

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

    • Generative AI Engineering with LLMs: IBM
    • IBM AI Enterprise Workflow: IBM
    • Introduction to Transformer Models for NLP: Pearson
    • Introduction to Generative AI : Google Cloud
    • Generative AI Fundamentals: IBM
    • DevOps, DataOps, MLOps: Duke University
    • Introduction to Neural Networks and PyTorch: IBM
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
    • AI & Predictive Analytics with Python: EDUCBA

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