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    Results for "algorithms"

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Real-Time Embedded Systems Theory and Analysis

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Software Systems, Operating Systems, OS Process Management, System Design and Implementation, Linux, Systems Analysis, Verification And Validation, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Object-Oriented Programming in C++: Functions

      Skills you'll gain: Pseudocode, C++ (Programming Language), Integrated Development Environments, Object Oriented Programming (OOP), Development Environment, Algorithms, Debugging, Programming Principles, Data Import/Export, File Systems, Data Structures

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure for AI and Machine Learning

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Network Troubleshooting, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Data Storage, Scalability, Data Quality, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Generative AI - Português Brasileiro

      Skills you'll gain: Generative AI, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Building Intelligent Troubleshooting Agents

      Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, Human Computer Interaction, Artificial Intelligence and Machine Learning (AI/ML), Debugging, Artificial Intelligence, Performance Tuning, Python Programming, Machine Learning

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      ESG Investing: Financial Decisions in Flux

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Investment Management, Financial Market, Investments, Financial Data, Market Trend, Market Analysis, Business Ethics, Regulatory Compliance, Environmental Issue, Capital Markets, Risk Analysis, Governance, Financial Services, Fixed Asset, Financial Analysis, Data Collection, Equities, Due Diligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      121 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced AI and Machine Learning Techniques and Capstone

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Artificial Intelligence, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Tensorflow, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Ethical Standards And Conduct, Microsoft Azure, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms for dna sequencing
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    algorithms for battery management systems
    1…606162…120

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

    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Real-Time Embedded Systems Theory and Analysis: University of Colorado Boulder
    • Object-Oriented Programming in C++: Functions: University of London
    • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
    • Microsoft Azure for AI and Machine Learning: Microsoft
    • Introduction to Generative AI - Português Brasileiro: Google Cloud
    • Building Intelligent Troubleshooting Agents: Microsoft
    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • ESG Investing: Financial Decisions in Flux: Interactive Brokers
    • Advanced AI and Machine Learning Techniques and Capstone: Microsoft

    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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