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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Cleansing, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Security Engineering and Cryptography

      Skills you'll gain: Public Key Infrastructure, Cloud Security, Hardening, Security Engineering, Infrastructure Security, Application Security, Information Systems Security, Network Security, Cyber Security Assessment, System Configuration, Cryptography, Encryption, Mobile Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      NLP in Engineering: Concepts & Real-World Applications

      Skills you'll gain: Natural Language Processing, Data Ethics, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Machine Learning Algorithms

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Cloud Solutions, Automation, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • S

      Scrimba

      JavaScript Interview Questions for Junior Developers

      Skills you'll gain: Data Validation, Maintainability, Javascript, Computational Thinking, Data Structures, Debugging, Data Integrity, Performance Tuning, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Introduction to FinTech Using R

      Skills you'll gain: Shiny (R Package), FinTech, Financial Market, R Programming, Financial Forecasting, Asset Management, Financial Modeling, Financial Analysis, Market Trend, Artificial Intelligence, Web Applications, Portfolio Management, Time Series Analysis and Forecasting, Application Development, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Cloud: Platform as a Service - Bachelor's

      Skills you'll gain: Serverless Computing, Containerization, Platform As A Service (PaaS), Cloud Security, Cloud Services, Docker (Software), Information Management, Cloud Computing Architecture, Cloud Computing, Cloud Infrastructure, Public Cloud, Database Management, DevOps, Machine Learning Software, Microservices, Scalability, Machine Learning

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Recommender Systems: An Applied Approach using Deep Learning

      Skills you'll gain: Deep Learning, Tensorflow, Data Processing, AI Personalization, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, System Design and Implementation, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • I

      IIT Roorkee

      Foundations of Advanced Wireless Communication

      Skills you'll gain: Wireless Networks, Digital Communications, Telecommunications, Capacity Management, Network Architecture, Emerging Technologies, Network Performance Management, Algorithms, System Design and Implementation, Mathematical Modeling, Estimation

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 日本語版

      Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Solutions, Cloud API, Machine Learning, Predictive Modeling, Natural Language Processing, Supervised Learning

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      AI 프라이버시 및 편의성

      Skills you'll gain: Data Ethics, Information Privacy, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Data Security, Data Governance, Cybersecurity, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on strings
    1…110111112…120

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

    • Machine Learning with PySpark: Edureka
    • Machine Learning and its Applications: University of Glasgow
    • Security Engineering and Cryptography: Packt
    • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
    • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
    • JavaScript Interview Questions for Junior Developers: Scrimba
    • Introduction to FinTech Using R: Packt
    • Cloud: Platform as a Service - Bachelor's: Illinois Tech
    • Recommender Systems: An Applied Approach using Deep Learning: Packt
    • Foundations of Advanced Wireless Communication: IIT Roorkee

    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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