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    Results for "algorithms"

    • 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

    • K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 3 Months

    • 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, Biology, Computational Thinking, Data Analysis, Predictive Modeling, Database Software, Probability & Statistics, Data Processing, Unstructured Data, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • 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, Programming Principles, File Management, Distributed Computing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      Build AI Apps with ChatGPT, Dall-E, and GPT-4

      Skills you'll gain: Prompt Engineering, Version Control, OpenAI, GitHub, ChatGPT, Generative AI, Application Programming Interface (API), Real Time Data, Artificial Intelligence, Image Analysis, Application Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      162 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Science, Data Modeling, Big Data, Supervised Learning, Machine Learning Methods, Data Cleansing, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Data Processing, Anomaly Detection, Data Transformation, Machine Learning Algorithms, Data Presentation, Analytical Skills

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      134 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      169 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Concurrent Programming with GPUs

      Skills you'll gain: C and C++, System Programming, Computer Hardware, Computer Architecture, Software Development, Computer Programming, Algorithms, Python Programming, Development Environment, Debugging

      2.6
      Rating, 2.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 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
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Engineering Analysis, Computer Engineering, Engineering Calculations, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    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…404142…120

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

    • AI and Climate Change: DeepLearning.AI
    • Machine Translation: Karlsruhe Institute of Technology
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
    • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
    • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Introduction to Concurrent Programming with GPUs: Johns Hopkins University
    • Human Factors in AI: Duke University

    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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