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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Managing Machine Learning Projects with Google Cloud

      Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Technical Management, IT Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Strategy, Business Ethics, Data Governance, Innovation, Feasibility Studies, Business Analysis, Project Management Life Cycle

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Computing, Ethics, and Society

      Skills you'll gain: Data Ethics, Security Awareness, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Media and Communications, Machine Learning, Automation, Cultural Diversity, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Law, Regulation, and Compliance, Emerging Technologies, Health Care

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Cryptography

      Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Network Security, Digital Communications, Authentications, Data Integrity, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI For Everyone (すべての人のためのAIリテラシー講座)

      Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Team Building, Technical Management, Applied Machine Learning, Machine Learning, Data Ethics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      285 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Pandas (Python Package), Applied Machine Learning, Matplotlib, Predictive Modeling, Simulations, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Computer Vision Basics

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Data Processing, Digital Design, Artificial Intelligence, Matlab, Linear Algebra, Algorithms, Calculus, Probability & Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Financial Services

      3.7
      Rating, 3.7 out of 5 stars
      ·
      814 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms on graphs
    algorithms for dna sequencing
    algorithms on strings
    algorithms for battery management systems
    1…202122…120

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

    • Managing Machine Learning Projects with Google Cloud: Google Cloud
    • Introduction to Neural Networks and PyTorch: IBM
    • Machine Learning: Regression: University of Washington
    • Computing, Ethics, and Society: University of Colorado Boulder
    • Sample-based Learning Methods: University of Alberta
    • Cryptography: University of Maryland, College Park
    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Applied Social Network Analysis in Python: University of Michigan
    • Computer Vision Basics: University at Buffalo

    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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