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    Results for "algorithms"

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

      Skills you'll gain: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Real Time Data, Cloud Computing, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Live Streaming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      341 reviews

      Mixed · Course · 1 - 3 Months

    • C

      CertNexus

      Solve Business Problems with AI and Machine Learning

      Skills you'll gain: Data Ethics, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving, Part 3 (Projects)

      Skills you'll gain: Peer Review, Microsoft Excel, Visual Basic (Programming Language), Project Design, Simulations, User Interface (UI), Automation, Debugging, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      460 reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, PyTorch (Machine Learning Library), Data Validation, Jupyter, Dataflow, Artificial Neural Networks, Performance Tuning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 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

    • 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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics and Information Economics

      Skills you'll gain: Business Analytics, Data Presentation, Analytics, Data Analysis, Business Intelligence, Business Valuation, Data Quality, Asset Management, Information Management, Advanced Analytics, Data-Driven Decision-Making, Big Data, Predictive Analytics, Management Information Systems, Data Strategy, Data Warehousing, Digital Assets, Data Science, Information Privacy, Data Governance

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      389 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The University of Edinburgh

      Data Ethics, AI and Responsible Innovation

      Skills you'll gain: Data Ethics, Law, Regulation, and Compliance, Data Security, Information Privacy, Data Governance, Big Data, Analytical Skills, Ethical Standards And Conduct, Artificial Intelligence, Machine Learning, Social Sciences, Diversity Awareness, Accountability, Decision Making, Innovation, Algorithms

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      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, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      314 reviews

      Beginner · Course · 1 - 3 Months

    • M

      MathWorks

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Matlab, Data Mapping, Geospatial Information and Technology, Feature Engineering, Medical Imaging, Visualization (Computer Graphics), Applied Machine Learning, Geometric Dimensioning And Tolerancing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 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
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    algorithms on graphs
    algorithms on strings
    1…444546…118

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

    • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
    • Solve Business Problems with AI and Machine Learning: CertNexus
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Excel/VBA for Creative Problem Solving, Part 3 (Projects): University of Colorado Boulder
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • L’IA pour tous: DeepLearning.AI
    • Foundations of Coding Back-End: Microsoft
    • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
    • Introduction to Business Analytics and Information Economics: University of Illinois Urbana-Champaign
    • Data Ethics, AI and Responsible Innovation: The University of Edinburgh

    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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