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    Results for "algorithms"

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Logical Reasoning, Artificial Intelligence, Programming Principles, Computer Science, Computational Thinking, Algorithms, Game Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      317 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      321 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      Universidad de los Andes

      Introducción a la inteligencia artificial contemporánea

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Computer Vision, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Embedded Systems, Machine Learning, Deep Learning, Supervised Learning, Algorithms, Ethical Standards And Conduct, Knowledge Transfer

      4.6
      Rating, 4.6 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      121 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Java for Android

      Skills you'll gain: Android Studio, Android Development, Object Oriented Programming (OOP), Java Programming, Java, Mobile Development, Data Structures, Integrated Development Environments, Computer Programming, Development Environment, Debugging, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Object Oriented Programming

      Skills you'll gain: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Programming Principles, Debugging, Data Structures, Computer Programming, Program Development, Software Design Patterns, Algorithms, Test Data, Data Validation, User Interface (UI), Unit Testing, Data Import/Export, Data Management, Command-Line Interface

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      219 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: SciFi Writing with Dall-e

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Artificial Intelligence, Storytelling, Storyboarding, Writing, Ideation, Creativity, Editing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      428 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Classification

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms, part i
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    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
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    1…293031…120

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

    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Unsupervised Machine Learning: IBM
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
    • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
    • Foundations of AI and Machine Learning: Microsoft
    • Java for Android: Vanderbilt University
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Kinematics: Describing the Motions of Spacecraft: University of Colorado Boulder
    • Object Oriented Programming: University of London

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Algorithms

    Coursera's algorithms courses offer valuable skills that are foundational in computer science:

    • Understanding and implementing basic and advanced algorithms
    • Analyzing algorithm efficiency and complexity
    • Designing data structures to optimize software applications
    • Problem-solving techniques for tackling computational challenges
    • Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
    • Hands-on programming skills to implement algorithms in various programming languages ‎

    Algorithm courses on Coursera are suitable for all experience levels:

    • Beginners can start with courses that introduce basic concepts and simple algorithms.
    • Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
    • Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

    Coursera offers several ways to validate your skills in algorithms:

    • Professional certificates designed to help build and showcase your analytical skills in technical roles.
    • Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
    • Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

    Skills in algorithms are crucial for a variety of technical careers:

    • Software Engineer, developing efficient, scalable software
    • Data Analyst, using algorithms to process and analyze large data sets
    • Machine Learning Engineer, applying algorithms to build and train intelligent systems
    • Operations Research Analyst, optimizing and improving business processes
    • Academic Researcher, contributing to the advancement of computational theories and practices‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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