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  • Statistical Classification

Results for "statistical classification"


  • 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

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    207 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Drug Development and Pharmacoepidemiology

    Skills you'll gain: Medication Therapy Management, Drug Development, Clinical Trials, Pharmaceuticals, Pharmacotherapy, Pharmacology, Medical Prescription, Patient Education And Counseling, Clinical Research, Pre-Clinical Development, Drug Interaction, Patient Safety, Medical Devices, Statistical Analysis, Value-Based Care, Epidemiology, Utilization Management, Program Evaluation, Public Health, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    122 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • I

    Icahn School of Medicine at Mount Sinai

    Introduction to Systems Biology

    Skills you'll gain: Molecular Biology, Pharmacology, Cell Biology, Physiology, Biochemistry, Biology, Bioinformatics, Mathematical Modeling, Electrophysiology, Systems Analysis, Simulations, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    577 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Generative AI for Healthcare

    Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Multimodal Prompts, Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 3 Months

1…767778…241

In summary, here are 10 of our most popular statistical classification courses

  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Python Essentials for MLOps: Duke University
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Machine Learning: an overview: Politecnico di Milano
  • Drug Development and Pharmacoepidemiology: Johns Hopkins University
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Machine Learning for Computer Vision: MathWorks
  • Regression Modeling in Practice: Wesleyan University
  • Probabilistic Graphical Models 2: Inference: Stanford University

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