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    Results for "advanced machine learning"

    • 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

      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
      ·
      58 reviews

      Advanced · Course · 1 - 4 Weeks

    • 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
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Responsible AI, Data Analysis, Image Analysis, Pandas (Python Package), Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Cloud Management, Artificial Neural Networks, Information Privacy, Supervised Learning, Virtual Machines, Application Deployment, Continuous Monitoring, Data Security, Performance Tuning, Scalability

      4.2
      Rating, 4.2 out of 5 stars
      ·
      580 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      431 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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
      I

      IBM

      Generative AI for Project Managers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Google Gemini, Project Management, LLM Application, Project Management Life Cycle, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Work Breakdown Structure, Artificial Intelligence, Team Oriented, Project Documentation, Risk Management, Machine Learning, Business Ethics, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • 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, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Ethical Standards And Conduct, Machine Learning, Virtual Environment, Information Privacy, Emerging Technologies, Data Security, Mitigation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      R: Apply & Analyze K-Means Clustering for Unsupervised ML

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 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

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

    • Quick Start Guide to Large Language Models (LLMs): Pearson
    • AI Workflow: Enterprise Model Deployment: IBM
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Linear Regression with Python: Coursera Project Network
    • Introduction to Transformer Models for NLP: Pearson
    • Generative AI for Project Managers: IBM
    • Generative AI for Educators: IBM
    • Data Science: Johns Hopkins University
    • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA

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