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  • Regularization Techniques

Results for "regularization+techniques"


  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization Fundamentals with Hugging Face

    Skills you'll gain: Generative AI, Hugging Face, Large Language Modeling, Performance Tuning, Model Deployment, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Optical and X-Ray Characterization

    Skills you'll gain: Semiconductors, Analytical Testing, Laboratory Equipment, Materials science, Laboratory Testing, Analytical Chemistry, Laboratory Techniques

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Techniques in Data Visualization

    Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Geospatial Information and Technology, Color Theory, Tree Maps, Data Storytelling, Heat Maps, Data Mapping, Text Mining, Unstructured Data, Network Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    3D Reconstruction - Single Viewpoint

    Skills you'll gain: Computer Graphics, Image Analysis, 3D Modeling, Visualization (Computer Graphics), Medical Imaging, Computer Vision, Automation Engineering, Mathematical Modeling, Algorithms

    5
    Rating, 5 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Institut Mines-Télécom

    Traitement d'images : segmentation et caractérisation

    Skills you'll gain: Image Analysis, Computer Vision, Image Quality, Data Processing, Digital Signal Processing, Data Analysis, Computer Programming, Medical Imaging, Python Programming, Histogram, Algorithms

    Intermediate · Course · 1 - 3 Months

1…6789

In summary, here are 10 of our most popular regularization+techniques courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Quantization Fundamentals with Hugging Face: DeepLearning.AI
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Optical and X-Ray Characterization: Arizona State University
  • Advanced Techniques in Data Visualization: Johns Hopkins University
  • Approximation Algorithms Part II: École normale supérieure

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