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Results for "subsetting"


  • Status: Free Trial
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    S

    Stanford University

    Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

    Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Survey Creation, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Statistical Inference, Network Analysis, Research Design

    4.3
    Rating, 4.3 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Anomaly Detection, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Plot (Graphics), Heat Maps, Data Processing, Descriptive Statistics, Data Manipulation, Histogram, Marketing Analytics, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    NLP: Fine-Tune & Preprocess Text

    Skills you'll gain: Fine-tuning, Natural Language Processing, Model Training, Data Wrangling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, AI Personalization, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Decision Tree Learning, Data Ethics, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Model Training, AI Workflows, Model Optimization, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

1…567…9

In summary, here are 10 of our most popular subsetting courses

  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
  • Sampling People, Networks and Records: University of Michigan
  • Clustering Analysis: University of Colorado Boulder
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • NLP: Fine-Tune & Preprocess Text: Coursera
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Advanced Learning Algorithms: DeepLearning.AI
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI

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