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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Servers, Algorithms, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      501 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      120 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Impact, Considerations, and Ethical Issues

      Skills you'll gain: Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Artificial Intelligence, Environmental Social And Corporate Governance (ESG), Machine Learning, Intellectual Property, Information Privacy, Workforce Management, Workforce Development, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      224 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: An Overview

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Computer Science, Computer Vision, Technology Strategies, Natural Language Processing, Innovation, Computer Hardware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      166 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Computational Thinking, Biology, Database Software, Data Analysis, Algorithms, Machine Learning Algorithms, Probability & Statistics, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Human Factors in AI

      Skills you'll gain: Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, Personally Identifiable Information, Usability, Information Privacy, Artificial Intelligence, Design Thinking, Machine Learning, Law, Regulation, and Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Simulation, Algorithm Analysis, and Pointers

      Skills you'll gain: Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Theoretical Computer Science, Programming Principles, File Management, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

      Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Applied Machine Learning, Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Analysis, Real Time Data, Predictive Modeling, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      35 reviews

      Beginner · Specialization · 1 - 3 Months

    • A

      Amazon Web Services

      Introduction to Machine Learning on AWS

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      138 reviews

      Beginner · 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 on graphs
    algorithms on strings
    algorithms for battery management systems
    1…353637…119

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

    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Distributed Programming in Java: Rice University
    • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
    • AI and Climate Change: DeepLearning.AI
    • Generative AI: Impact, Considerations, and Ethical Issues: IBM
    • Artificial Intelligence: An Overview: Politecnico di Milano
    • Fundamentals of Machine Learning in Finance: New York University
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Human Factors in AI: Duke University
    • Simulation, Algorithm Analysis, and Pointers: University of Colorado System

    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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