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    Results for "algorithms"

    • Status: New
      New
      M

      Macquarie University

      DevSecOps

      Skills you'll gain: DevSecOps, Application Security, Secure Coding, MLOps (Machine Learning Operations), Security Engineering, Threat Modeling, Security Testing, Software Architecture, Kubernetes, Cloud Security, CI/CD, Microsoft Azure, Web Applications, Docker (Software), Containerization, Infrastructure as Code (IaC), Machine Learning, Version Control, Dependency Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      Advanced Kotlin for Multi-Platform Development

      Skills you'll gain: Java Programming, Java, System Programming, OS Process Management, Debugging, Application Performance Management, Software Design Patterns, Operating Systems, Application Development, Algorithms, Development Testing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 繁體中文

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Natural Language Processing, Deep Learning, Text Mining, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Google Cloud Platform, Workflow Management, Data Processing, Data Pipelines, Machine Learning, Applied Machine Learning, Feature Engineering, Data Transformation, Containerization

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Linear Algebra, Applied Machine Learning, Tensorflow, Machine Learning, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Multimodal RAG with GPT – Build Smarter Search & AI Systems

      Skills you'll gain: Development Environment, User Interface (UI), Generative AI, Prompt Engineering, Image Analysis, Large Language Modeling, Artificial Intelligence, System Design and Implementation, Natural Language Processing, Applied Machine Learning, Computer Vision, Real Time Data

      Intermediate · Course · 1 - 3 Months

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

      Universidades Anáhuac

      Modelos predictivos con Machine Learning

      Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Regression Analysis, Classification And Regression Tree (CART), Data Modeling, Forecasting, Supervised Learning, Applied Machine Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Statistical Analysis, Unsupervised Learning, Machine Learning, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

      Skills you'll gain: Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Google Cloud Platform, Data Quality, Predictive Modeling, Big Data, Regression Analysis, Sampling (Statistics), Performance Tuning, Verification And Validation

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - 繁體中文

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Natural Language Processing, Application Programming Interface (API), Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, PyTorch (Machine Learning Library), Data Processing, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    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…111112113…120

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

    • DevSecOps: Macquarie University
    • Advanced Kotlin for Multi-Platform Development: Board Infinity
    • Encoder-Decoder Architecture - 繁體中文: Google Cloud
    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Applying Machine Learning to Your Data with GC - Français: Google Cloud
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Multimodal RAG with GPT – Build Smarter Search & AI Systems: Packt
    • Modelos predictivos con Machine Learning: Universidades Anáhuac
    • Natural Language Processing - Probability Models in Python: Packt
    • Launching into Machine Learning - 한국어: 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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