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    Results for "algorithms"

    • Status: Free
      Free
      P

      Peking University

      操作系统原理(Operating Systems)

      Skills you'll gain: File Systems, Operating Systems, OS Process Management, Computer Systems, System Programming, Unix, Linux, Algorithms, Virtualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      363 reviews

      Intermediate · Course · 3 - 6 Months

    • N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Inteligencia artificial: proyecto final

      Skills you'll gain: Program Development, Artificial Intelligence, Engineering Software, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Writing

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Robotics with Webots

      Skills you'll gain: Robotic Process Automation, Data Mapping, Artificial Intelligence, Control Systems, Automation, Graph Theory, Algorithms, Simulation and Simulation Software, Mechanics, Real-Time Operating Systems, Simulations, Computer Vision, Engineering, Global Positioning Systems, Image Analysis, Data Structures, Linear Algebra, Estimation

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      55 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Foundations of Coding Back-End

      Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Integrated Development Environments, Programming Principles, Pseudocode, Debugging, Computational Thinking, Engineering Software, C# (Programming Language), Version Control, Software Engineering, GitHub, Git (Version Control System), Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategies, Business Strategy, Artificial Intelligence, Data Ethics, Team Building, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Data Modeling, Business Transformation, Business Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      PyTorch Ultimate 2024 - From Basics to Cutting-Edge

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Generative AI, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Text Mining, Python Programming, Supervised Learning, Regression Analysis, Google Cloud Platform, Data Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rice University

      Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Servers, Algorithms, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      500 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      L’IA pour tous

      Skills you'll gain: Business Strategy, Artificial Intelligence, Data Ethics, Technology Strategies, Artificial Neural Networks, Business Intelligence, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Finding Mutations in DNA and Proteins (Bioinformatics VI)

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Machine Learning Methods, Computational Thinking, Algorithms, Computer Programming Tools, Data Structures, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Feature Engineering, Exploratory Data Analysis

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Basic Cryptography and Programming with Crypto API

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Advanced Encryption Standard (AES), Application Security, Public Key Cryptography Standards (PKCS), Secure Coding, Data Security, Web Development, Email Security, PHP (Scripting Language), Algorithms, User Provisioning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1…434445…119

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

    • 操作系统原理(Operating Systems): Peking University
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México
    • Introduction to Robotics with Webots: University of Colorado Boulder
    • Foundations of Coding Back-End: Microsoft
    • IA Para Todos (Português): DeepLearning.AI
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Distributed Programming in Java: Rice University
    • L’IA pour tous: DeepLearning.AI
    • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego

    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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