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Results for "sample-based learning methods"


  • Status: New
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    E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Machine Learning Algorithms, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Enhance Student Learning with Interactive Lessons in Nearpod

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Real Time Data, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Packt

    Game Development, Data Science, and Machine Learning

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Data Science, Statistical Analysis, Data Preprocessing, Case Studies, Applied Machine Learning, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    P

    Peking University

    Nursing Research: Principles and Methods(护理研究:基本原理与方法)

    Skills you'll gain: Nursing, Science and Research, Clinical Research, Scientific Methods, Clinical Research Ethics, Medical Science and Research, Biostatistics, Epidemiology

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Dimensionality Reduction, Transfer Learning, Machine Learning, Embeddings, Model Evaluation, Logistic Regression

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Enhance Student Learning with Interactive Lessons in Nearpod: Coursera
  • Game Development, Data Science, and Machine Learning: Packt
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs

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