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  • Regularization Techniques

Results for "regularization+techniques"


  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Neuroscience and Neuroimaging

    Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Construction Techniques and Practices

    Skills you'll gain: Construction, Construction Inspection, Construction Management, Equipment Design, Construction Engineering, Construction Estimating, Product Lifecycle Management, Cost Estimation, Building Codes, Engineering Practices, Commercial Construction, Machine Controls, Plant Operations and Management, Structural Engineering, Environmental Engineering, Facility Management and Maintenance, Automation Engineering, Engineering Plans And Specifications, Architecture and Construction, Civil Engineering

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Advanced · Specialization · 3 - 6 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, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    458 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Optimize AI: Fine-Tune & Maximize Accuracy

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Keras (Neural Network Library), Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    144 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

1234…9

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

  • Foundations of Model Optimization and Deep Learning: Packt
  • Neuroscience and Neuroimaging: Johns Hopkins University
  • Construction Techniques and Practices: L&T EduTech
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Supervised Machine Learning: Classification: IBM
  • Optimize AI: Fine-Tune & Maximize Accuracy: Coursera
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Applied Machine Learning and Model Optimization: Packt

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