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    Results for "algorithms"

    • C

      Coursera Project Network

      Robot Localization with Python and Particle Filters

      Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Data Manipulation, Simulations, NumPy, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Creative Coding for Designers Using Python

      Skills you'll gain: Animation and Game Design, Simulations, Computer Graphics, Python Programming, Creative Design, Object Oriented Programming (OOP), Scripting, Computer Programming Tools, Algorithms, Data Structures

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro

      Skills you'll gain: Data Processing, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, Systems Design, Data Modeling, Database Design, MLOps (Machine Learning Operations), Data Quality, Cloud Engineering, Data Storytelling, Data Presentation, Data Governance, Data Storage, Scalability, Machine Learning, Identity and Access Management

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Real-Time Embedded Systems Theory and Analysis

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Software Systems, Operating Systems, OS Process Management, System Design and Implementation, Linux, Systems Analysis, Verification And Validation, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Create Embeddings, Vector Search, and RAG with BigQuery

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Google Cloud Platform, Natural Language Processing, Data Processing, Machine Learning Algorithms

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for the Google Cloud Professional Data Engineer Exam en Español

      Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Warehousing, Data Lakes, Data Visualization, Data Quality, Cloud Engineering, Scalability, Machine Learning, Performance Tuning, SQL, Cloud Storage, Identity and Access Management, Role-Based Access Control (RBAC)

      Advanced · Course · 1 - 3 Months

    • E

      EIT Digital

      System Validation (4): Modelling Software, Protocols, and other behaviour

      Skills you'll gain: Systems Analysis, Verification And Validation, Systems Design, Data Modeling, Software Design, Software Architecture, Theoretical Computer Science, Network Protocols, Algorithms, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      AWS Visualization, Security, and Exam Preparation

      Skills you'll gain: AWS SageMaker, Dashboard, Data Visualization Software, Amazon CloudWatch, Amazon Redshift, AWS Kinesis, Amazon Web Services, Big Data, AWS Identity and Access Management (IAM), Amazon DynamoDB, Cloud Security, Amazon S3, Predictive Modeling, Encryption, Key Management, Machine Learning

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - Italiano

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

      Advanced · Course · 1 - 4 Weeks

    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…3456

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

    • Robot Localization with Python and Particle Filters: Coursera Project Network
    • Creative Coding for Designers Using Python: University of Michigan
    • Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro: Google Cloud
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Real-Time Embedded Systems Theory and Analysis: University of Colorado Boulder
    • Create Embeddings, Vector Search, and RAG with BigQuery: Google Cloud
    • Preparing for the Google Cloud Professional Data Engineer Exam en Español: Google Cloud
    • System Validation (4): Modelling Software, Protocols, and other behaviour: EIT Digital
    • AWS Visualization, Security, and Exam Preparation: Packt

    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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