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    Results for "algorithms"

    • Y

      Yonsei University

      Big Data Emerging Technologies

      Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      301 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      410 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Codio

      C++: Linear Data Structures and Trees

      Skills you'll gain: Data Structures, C++ (Programming Language), Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Compose and Program Music in Python using Earsketch

      Skills you'll gain: Musical Composition, Music, Computer Programming, Program Development, Programming Principles, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      455 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      Icahn School of Medicine at Mount Sinai

      Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

      Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Washington

      Designing Autonomous AI

      Skills you'll gain: Organizational Skills, Artificial Intelligence, Systems Design, Functional Design, Goal Setting, Verification And Validation, Reinforcement Learning, Functional Specification, Knowledge Transfer, Software Architecture, Interviewing Skills, Software Design Patterns, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      161 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Breast Cancer Prediction Using Machine Learning

      Skills you'll gain: Data Cleansing, Data Processing, Applied Machine Learning, Data Import/Export, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      Data Engineering with Rust

      Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Data Structures, Secure Coding, Data Processing, Cloud Applications, Data Manipulation, Encryption, Algorithms

      3.6
      Rating, 3.6 out of 5 stars
      ·
      51 reviews

      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, part ii
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on graphs
    1…505152…119

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

    • Big Data Emerging Technologies: Yonsei University
    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • C++: Linear Data Structures and Trees: Codio
    • Compose and Program Music in Python using Earsketch: Coursera Project Network
    • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
    • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
    • Designing Autonomous AI: University of Washington
    • Tweet Emotion Recognition with TensorFlow: Coursera Project Network
    • Breast Cancer Prediction Using Machine Learning: Coursera Project Network

    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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