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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Feature Engineering, Predictive Modeling, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Advanced · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Quantum Information

      Skills you'll gain: Emerging Technologies, Digital Communications, Encryption, Theoretical Computer Science, Cryptography, Linear Algebra, Algorithms, Computational Thinking, Information Technology, Physics, Simulations, Mathematical Modeling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      122 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      39 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      SIEM Splunk Hands-On Guide

      Skills you'll gain: Splunk, Security Information and Event Management (SIEM), Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Dashboard, Incident Response, Threat Detection, User Accounts, Data Transformation, Cybersecurity, Machine Learning, Performance Tuning, Data Visualization, Event Monitoring, Data Manipulation, Data Analysis, Identity and Access Management, Statistical Analysis, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      304 reviews

      Beginner · Specialization · 1 - 3 Months

    • E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      153 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      384 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      The Construction Industry: The Way Forward

      Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      364 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Toronto

      Learn to Program: Crafting Quality Code

      Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      728 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Ingeniero en base de datos de Meta

      Skills you'll gain: MySQL, MySQL Workbench, Database Management, Relational Databases, Data Modeling, SQL, Database Design, Version Control, Data Warehousing, Database Management Systems, Database Theory, Unix Commands, Extract, Transform, Load, Databases, Git (Version Control System), Django (Web Framework), Algorithms, Test Driven Development (TDD), Unit Testing, Pseudocode

      4.8
      Rating, 4.8 out of 5 stars
      ·
      336 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to algorithms

    algorithms, part i
    algorithms specialization
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms on graphs
    algorithms for battery management systems
    algorithms on strings
    1…343536…120

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

    • Recommendation Systems on Google Cloud: Google Cloud
    • Introduction to Quantum Information: Korea Advanced Institute of Science and Technology(KAIST)
    • The Complete Quantum Computing Course for Beginners: Packt
    • Machine Translation: Karlsruhe Institute of Technology
    • SIEM Splunk Hands-On Guide: EDUCBA
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Fundamentals of Machine Learning in Finance: New York University
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
    • The Construction Industry: The Way Forward: Columbia University

    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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