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  • Function Approximation

Results for "function approximation"


  • J

    Johns Hopkins University

    Calculus through Data & Modelling: Techniques of Integration

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Estimation, Probability & Statistics, Geometry, Mathematical Modeling, Graphing

    ★ 4.7 (54) · Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Functions, Tools and Agents with LangChain

    Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Large Language Modeling, Generative AI Agents, Application Development, Python Programming

    ★ 4.7 (118) · Intermediate · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • U

    University of California, Irvine

    Functions, Methods, and Interfaces in Go

    Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Data Structures

    ★ 4.6 (1K) · Intermediate · Course · 1 - 4 Weeks

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

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics

    ★ 4.8 (46) · Mixed · Course · 1 - 4 Weeks

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • G

    Georgia Institute of Technology

    Network Function Virtualization

    Skills you'll gain: Software-Defined Networking, Virtual Networking, Virtualization, Virtual Machines, Cloud Infrastructure, Network Architecture, Network Infrastructure, Cloud Computing, Cloud Deployment, Network Performance Management, Linux, Network Security, Firewall, Performance Tuning, Network Routing, Scalability

    ★ 4.8 (35) · Mixed · Course · 1 - 3 Months

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

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Code Reusability, Debugging, Matlab, Numerical Analysis, Mathematical Software, Applied Mathematics, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

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

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

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

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model

    ★ 4 (7) · Intermediate · Course · 1 - 3 Months

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

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

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

    ★ 4.9 (1.1K) · Intermediate · Course · 1 - 3 Months

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

    Coursera

    Serverless Apps in C#: Azure Function Apps

    Skills you'll gain: Cloud Deployment, Cloud Development, Application Deployment, Microsoft Azure, JSON, Cloud Applications, Serverless Computing, Application Programming Interface (API), Cloud Computing, C# (Programming Language), Restful API, Web Services, Cloud Storage

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives

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

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…63

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

  • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
  • Functions, Tools and Agents with LangChain: DeepLearning.AI
  • Functions, Methods, and Interfaces in Go: University of California, Irvine
  • Approximation Algorithms Part II: École normale supérieure
  • Network Function Virtualization: Georgia Institute of Technology
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI

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