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  • Sample Based Learning Methods

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Results for "sample-based learning methods"


  • G

    Google Cloud

    Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, PostgreSQL, Database Systems, User Interface (UI), Prompt Patterns, Human Computer Interaction, UI Components, User Interface (UI) Design, Artificial Intelligence, Cloud Computing

    3
    Rating, 3 out of 5 stars
    ·
    8 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Evaluation, Performance Tuning, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Designing Learning Innovation: an introduction

    Skills you'll gain: Pedagogy, Instructional Design, Innovation, Education Software and Technology, Learning Theory, Creativity, Critical Thinking, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Analyze Financial Fraud Using Machine Learning Analytics

    Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular sample-based learning methods courses

  • Build an LLM and RAG-based Chat Application using AlloyDB and LangChain: Google Cloud
  • Recommender Systems with Machine Learning: Packt
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Fundamentals of Machine Learning in Finance: New York University
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Support Interactive Learning with Genially: Coursera
  • Building a Machine Learning Solution: Coursera
  • Designing Learning Innovation: an introduction: Politecnico di Milano

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