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  • C 11

Results for "c 11"


  • U

    Universidad Nacional de Colombia

    Sistemas difusos

    Skills you'll gain: Mathematical Modeling, Machine Learning Methods, Computational Logic, Mathematics and Mathematical Modeling, Mathematical Software, Model Optimization, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Arithmetic

    ★ 5 (48) · Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    ★ 3.7 (9) · Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Model Training, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Model Optimization, Data Analysis, Python Programming

    ★ 4.7 (111) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Restful API, Application Programming Interface (API), Natural Language Processing, Command-Line Interface, Open Source Technology, Machine Learning

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Computer Vision, AI literacy, Image Analysis, Machine Learning Algorithms, Feature Engineering, Data Literacy

    ★ 4.7 (12) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    Sungkyunkwan University

    Recommender Systems

    Skills you'll gain: Scalability, Deep Learning, Machine Learning Methods, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Fine-tuning, Natural Language Processing, Model Deployment, Open Source Technology, Containerization, C (Programming Language), Machine Learning, Cross Platform Development

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning

    ★ 4.7 (652) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    ★ 4.7 (22) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Politecnico di Milano

    Water: an essential resource

    Skills you'll gain: Water Quality, Water Sustainability, Water Resources, Water Resource Management, Sustainable Development, Environmental Engineering, Environmental Engineering and Restoration, Sanitation, Environmental Monitoring, Sustainable Engineering, Sustainable Design, Human Centered Design, Risk Analysis, Machine Learning Methods, Machine Learning

    ★ 4.7 (59) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
12

In summary, here are 10 of our most popular c 11 courses

  • Sistemas difusos: Universidad Nacional de Colombia
  • Machine Learning Algorithms: Sungkyunkwan University
  • Data Science Coding Challenge: Loan Default Prediction: Coursera
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • 모두를 위한 머신 러닝: University of London
  • Recommender Systems: Sungkyunkwan University
  • Open Source LLMOps Solutions: Duke University
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Interpretable Machine Learning Applications: Part 4: Coursera

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