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    Results for "advanced machine learning"

    • Status: New
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      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Browser-based Models with TensorFlow.js

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, JSON, Applied Machine Learning, Javascript, Deep Learning, Artificial Neural Networks, Data Processing, Real Time Data, Web Applications, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Edureka

      Generative AI and Prompt Engineering Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, Data Ethics, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Deep Learning, Security Awareness

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Data Processing, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Unsupervised Learning, Machine Learning Algorithms, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, AI Personalization, Cost Management, Performance Tuning, Generative AI, Artificial Intelligence, Applied Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • 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: 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, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
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      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

      Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

      Mixed · 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), Statistical Hypothesis Testing, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Statistical Methods, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      프로덕션 머신러닝 시스템

      Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Dependency Analysis, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
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      Packt

      A Practical Approach to Timeseries Forecasting Using Python

      Skills you'll gain: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software

      Intermediate · Course · 1 - 3 Months

    Searches related to advanced machine learning

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    1…112113114…597

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

    • Python: Logistic Regression & Supervised ML: EDUCBA
    • Browser-based Models with TensorFlow.js: DeepLearning.AI
    • Generative AI and Prompt Engineering Essentials: Edureka
    • Applied Text Mining in Python: University of Michigan
    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Introduction to Neural Networks and PyTorch: IBM
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Python: Implement & Evaluate Random Forests for ML: EDUCBA
    • Data Science Fundamentals, Part 2: Pearson
    • Prompt Engineering: Vanderbilt University

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