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    Results for "algorithms"

    • 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

    • Status: New
      New
      P

      Packt

      Cluster Analysis and Unsupervised Machine Learning in Python

      Skills you'll gain: Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming

      Intermediate · 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

    • 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

    • 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

    • C

      Coursera Project Network

      Cómo vincular cuentas de anuncios de Meta Business

      Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Paid media, Digital Advertising, Advertising, Social Media Marketing, Social Media, Payment Processing

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Deep Dive into Cryptography

      Skills you'll gain: Blockchain, Cryptographic Protocols, Cryptography, Encryption, Transaction Processing, Authentications, Public Key Infrastructure, Information Privacy, Data Security, Emerging Technologies, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - Español

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Google Cloud Platform, Application Programming Interface (API), Artificial Neural Networks, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 简体中文

      Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Programación avanzada en Swift

      Skills you'll gain: Swift Programming, Apple iOS, iOS Development, Apple Xcode, Unit Testing, Object Oriented Programming (OOP), Mobile Development, Software Design Patterns, Data Structures, Programming Principles, Application Development, Functional Design, Algorithms, Debugging

      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

    • Introduction to FinTech Using R: Packt
    • Cloud: Platform as a Service - Bachelor's: Illinois Tech
    • Recommender Systems: An Applied Approach using Deep Learning: Packt
    • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
    • AI 프라이버시 및 편의성: LearnQuest
    • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
    • Foundations of Advanced Wireless Communication: IIT Roorkee
    • Cómo vincular cuentas de anuncios de Meta Business: Coursera Project Network
    • Deep Dive into Cryptography: Board Infinity
    • Vector Search and Embeddings - Español: Google Cloud

    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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