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    Results for "algorithms"

    • C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Solution Delivery, Application Deployment, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Big Data, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Michigan

      AI for Energy and Biomedical Applications

      Skills you'll gain: Precision Medicine, Energy and Utilities, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Deep Learning, Applied Machine Learning, Predictive Modeling, Health Informatics, Anomaly Detection, Machine Learning Algorithms, Predictive Analytics, Pharmacology

      4.3
      Rating, 4.3 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Data Cleansing, Machine Learning, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Supervised Learning, Data Validation, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Regression Analysis, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Sciences Po

      Data and Urban Governance

      Skills you'll gain: Social Sciences, Data Governance, Political Sciences, Governance, Public Administration, Data Sharing, Policy Analysis, Big Data, Algorithms, Data Ethics, Computing Platforms, Data-Driven Decision-Making, Personally Identifiable Information, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Blockchain Technology Applied

      Skills you'll gain: Blockchain, Cryptographic Protocols, Cryptography, Web Development Tools, React Redux, Encryption, User Interface and User Experience (UI/UX) Design, Application Deployment, Application Development, React.js, Transaction Processing, Front-End Web Development, Secure Coding, Web Applications, Code Review, Development Testing, Application Security, Software Development Tools, Authentications, Program Development

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Trustworthy AI: Managing Bias, Ethics, and Accountability

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Risk Analysis, Compliance Management, Risk Mitigation, Law, Regulation, and Compliance, Diversity Awareness, Strategic Decision-Making, Social Sciences, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Vector Database Projects: AI Recommendation Systems

      Skills you'll gain: Databases, MongoDB, Data Store, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Generative AI, Cloud API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Deploying Machine Learning Models

      Skills you'll gain: Data Manipulation, Applied Machine Learning, Flask (Web Framework), Application Deployment, Django (Web Framework), Web Applications, Data Processing, Predictive Modeling, Machine Learning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      51 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1…646566…119

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

    • Follow a Machine Learning Workflow: CertNexus
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Launching into Machine Learning en Español: Google Cloud
    • AI for Energy and Biomedical Applications: University of Michigan
    • Launching into Machine Learning 日本語版: Google Cloud
    • Data and Urban Governance: Sciences Po
    • Blockchain Technology Applied: Board Infinity
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
    • Vector Database Projects: AI Recommendation Systems: IBM

    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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