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    Results for "algorithms"

    • J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3
      Rating, 3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Réseaux neuronaux et Deep Learning

      Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Advanced Topics in Artificial Intelligence

      Skills you'll gain: Automation, Artificial Intelligence, Data Ethics, Advanced Analytics, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Robotic Process Automation, Data Infrastructure, Cloud Computing Architecture, Predictive Analytics, Data-Driven Decision-Making, Machine Learning, Emerging Technologies, Cloud Computing, Internet Of Things, Computer Hardware

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Artificial Intelligence Privacy and Convenience

      Skills you'll gain: Data Ethics, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Security, Business Ethics, Vulnerability Assessments, Data Governance, Data Collection, Algorithms, Accountability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Generalized Linear Models and Nonparametric Regression

      Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Advanced Analytics, Statistical Methods, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Statistical Inference, Probability Distribution

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Dartmouth College

      C Programming: Advanced Data Types - 5

      Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, Programming Principles, Algorithms, Operating Systems, Linux, Computer Programming Tools, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      4
      Rating, 4 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Semantic Web, Seaborn, Pandas (Python Package), Machine Learning, Artificial Neural Networks, Data Processing, Supervised Learning, Text Mining, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      H2O.ai

      Practical Machine Learning on H2O

      Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Feature Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Communicating Data Science Results

      Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

      3.4
      Rating, 3.4 out of 5 stars
      ·
      142 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Inteligencia artificial: proyecto final

      Skills you'll gain: Program Development, Artificial Intelligence, Engineering Software, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Writing

      Intermediate · 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 for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    algorithms on strings
    1…535455…119

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

    • CUDA Advanced Libraries: Johns Hopkins University
    • Réseaux neuronaux et Deep Learning: DeepLearning.AI
    • Advanced Topics in Artificial Intelligence: University of Illinois Urbana-Champaign
    • Artificial Intelligence Privacy and Convenience: LearnQuest
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • C Programming: Advanced Data Types - 5: Dartmouth College
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
    • Natural Language Processing with Real-World Projects: Packt
    • Practical Machine Learning on H2O: H2O.ai

    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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