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  • Machine Learning Algorithms

Results for "machine learning algorithms"


  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

    Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    ·
    80 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning, NumPy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    435 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, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Network Model, Object Oriented Programming (OOP), Computer Vision

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Computational Thinking, Network Analysis, Computer Programming, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a la programación en Python I: Aprendiendo a programar con Python

    Skills you'll gain: Python Programming, Data Structures, Programming Principles, Computer Programming, Program Development, Algorithms, File Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Programming Principles, Integrated Development Environments, Graph Theory, Computer Science, File Systems, Artificial Intelligence, Integration Testing, Software Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Forecasting, Database Application, Integrated Development Environments, Computer Networking, Python Programming

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Нейронные сети и глубокое обучение

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Network Architecture, Linear Algebra, Calculus

    4
    Rating, 4 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: Cascading Style Sheets (CSS), User Experience Design, User Interface and User Experience (UI/UX) Design, User Experience, Design Research, Linux Commands, User Centered Design, Debugging, User Interface (UI), UI Components, Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, Javascript, Web Applications, Unit Testing, Application Development, API Design

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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1…102103104…547

In summary, here are 10 of our most popular machine learning algorithms courses

  • Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?: Universitat Autònoma de Barcelona
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Algorithmic Thinking (Part 1): Rice University
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Python for Data Science: Real Projects & Analytics: EDUCBA

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