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    Results for "algorithms"

    • Status: Free
      Free
      L

      Lund University

      Artificial Intelligence: Ethics & Societal Challenges

      Skills you'll gain: Data Ethics, Artificial Intelligence, Social Justice, Algorithms, Ethical Standards And Conduct, Information Privacy, Political Sciences, Emerging Technologies, Governance, Law, Regulation, and Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      266 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Application of AI, InsurTech, and Real Estate Technology

      Skills you'll gain: FinTech, Financial Services, Emerging Technologies, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML), Real Estate, Insurance, Artificial Intelligence, Investment Management, Asset Management, Market Trend, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      555 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      709 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Theoretical Computer Science, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Data Structures, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      410 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Machine Learning, Data Science

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      112 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Feature Engineering, Continuous Monitoring

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad de los Andes

      Introducción a la inteligencia artificial contemporánea

      Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Supervised Learning, Deep Learning, Algorithms, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Unsupervised Learning, Information Privacy, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      545 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Graph Analytics for Big Data

      Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Data Structures, Query Languages, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to algorithms

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    algorithms, data collection, and starting to code
    algorithms for dna sequencing
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    1…262728…119

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

    • Artificial Intelligence: Ethics & Societal Challenges: Lund University
    • Application of AI, InsurTech, and Real Estate Technology: University of Pennsylvania
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • Supervised Machine Learning: Classification: IBM
    • Data Science at Scale: University of Washington
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Machine Learning in the Enterprise: Google Cloud
    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes

    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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