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    Results for "advanced machine learning"

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

      Packt

      Data Science Essentials: Analysis, Statistics, and ML

      Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      I

      IBM

      Generative AI for Project Managers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, ChatGPT, Project Management, LLM Application, Project Management Life Cycle, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Work Breakdown Structure, Artificial Intelligence, Project Documentation, Image Quality, Machine Learning, Virtual Environment, Ethical Standards And Conduct

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

      Intermediate · Specialization · 1 - 3 Months

    • 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: 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
      ·
      689 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Computer Vision Fundamentals with Google Cloud

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

      4.5
      Rating, 4.5 out of 5 stars
      ·
      546 reviews

      Advanced · Course · 1 - 3 Months

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

      Edureka

      Getting Started with Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, Data Processing, Application Deployment, Natural Language Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

      Beginner · Course · 1 - 3 Months

    • 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: New
      New
      Status: Preview
      Preview
      U

      University of the Arts London

      Introduction to Creative AI

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Augmented Reality, Creative Problem-Solving, Creative Design, Data Ethics, Machine Learning, Deep Learning, Critical Thinking

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, 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
      ·
      9.3K reviews

      Beginner · 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
      ·
      347 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

    • Data Science Essentials: Analysis, Statistics, and ML: Packt
    • Prediction and Control with Function Approximation: University of Alberta
    • Generative AI for Project Managers: IBM
    • Probabilistic Graphical Models: Stanford University
    • Generative AI Engineering with LLMs: IBM
    • Computer Vision Fundamentals with Google Cloud: Google Cloud
    • Getting Started with Generative AI: Edureka
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • Introduction to Creative AI: University of the Arts London
    • Generative AI Fundamentals: IBM

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