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  • Approximation Algorithm

Results for "approximation algorithm"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, NoSQL, Data Migration, Data Analysis, Query Languages, Data Preprocessing, Data Structures, Network Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Algorithms, Data Collection, and Starting to Code

    Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Sydney

    Blockchain Scalability and its Foundations in Distributed Systems

    Skills you'll gain: Blockchain, Distributed Computing, Security Engineering, Network Security, Scalability, Cryptography, Data Integrity, Transaction Processing, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    120 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Series and Integration

    Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Robotics with Webots

    Skills you'll gain: Robotics, Artificial Intelligence, Automation, Data Mapping, Graph Theory, Planning, Algorithms, Computer Programming, Computer Vision, Computer Science, Simulation and Simulation Software, Control Systems, Real-Time Operating Systems, Engineering, Data Structures, Python Programming, Simulations, Linear Algebra, Design

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Complete Modern C++ (C++11/14/17)

    Skills you'll gain: C and C++, C++ (Programming Language), Object Oriented Programming (OOP), File I/O, Computer Programming, Microsoft Visual Studio, System Programming, Apple Xcode, Development Environment, Algorithms, File Systems, Software Design Patterns, Data Structures, Performance Tuning, Debugging, File Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Load Flow Analysis

    Skills you'll gain: Electric Power Systems, Electrical Power, Systems Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Simulations, Graph Theory

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Perform data science with Azure Databricks: Microsoft
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • MongoDB Aggregation Framework: MongoDB Inc.
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System
  • Machine Learning with Apache Spark: IBM
  • Blockchain Scalability and its Foundations in Distributed Systems: The University of Sydney
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Calculus through Data & Modelling: Series and Integration: Johns Hopkins University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Introduction to Robotics with Webots: University of Colorado Boulder

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