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  • Approximation Error

Results for "approximation+error"


  • C

    Coursera

    Introduction to Basic Game Development using Scratch

    Skills you'll gain: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Video Game Development, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Debugging, Mathematical Modeling, Advanced Mathematics, Operations Research, Computational Logic, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    141 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze Advanced Data Using Minitab Regression Models

    Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering

    Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

1…6789

In summary, here are 10 of our most popular approximation+error courses

  • Introduction to Basic Game Development using Scratch: Coursera
  • Logistic Regression with NumPy and Python: Coursera
  • Advanced Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Learning with Small Data Part 2: Northeastern University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Quantization in Depth: DeepLearning.AI
  • Analyze Advanced Data Using Minitab Regression Models: EDUCBA
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University

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