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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Engineering Genetic Circuits: Modeling and Analysis

      Skills you'll gain: Bioinformatics, Mathematical Modeling, Engineering Analysis, Chemical and Biomedical Engineering, Simulations, Computational Logic, Differential Equations, Software Visualization, Molecular, Cellular, and Microbiology, Algorithms

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - Español

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Workflow Management, Applied Machine Learning, Machine Learning, Feature Engineering, Data Pipelines, Data Processing, Continuous Monitoring, Containerization, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Français

      Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Applied Machine Learning, Predictive Modeling, Cloud Computing, Machine Learning, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon Kendra Getting Started

      Skills you'll gain: Document Management, Amazon Web Services, Information Management, Technical Documentation, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Software Architecture

      Mixed · Course · 1 - 4 Weeks

    • I

      Institut Mines-Télécom

      SCHC : A new era of interoperability

      Skills you'll gain: Internet Of Things, Network Protocols, Embedded Software, Interoperability, Telecommunications, Network Analysis, Virtual Machines, Algorithms

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Using BigQuery Machine Learning for inference

      Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      AI-Driven Attribution Testing

      Skills you'll gain: A/B Testing, Artificial Intelligence, Statistical Modeling, Marketing Effectiveness, Ethical Standards And Conduct, Marketing Analytics, Predictive Modeling, Trend Analysis, Data Collection, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Predicting Extreme Climate Behavior with Machine Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • H

      H2O.ai

      H2O Driverless AI Starter Course

      Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation, Exploratory Data Analysis, Data Analysis, Machine Learning, Supervised Learning, Interactive Data Visualization, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      시퀀스 모델

      Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Ace the Computer Science Interview: Strategies for Success

      Skills you'll gain: Verbal Communication Skills, Communication, Critical Thinking, Problem Solving, Composure, Computer Programming, Computer Science, Planning, Complex Problem Solving, Algorithms, Data Structures, Stress Management, Adaptability

      Beginner · Course · 1 - 4 Weeks

    Searches related to algorithms

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    algorithms, data collection, and starting to code
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    algorithms on strings
    1…107108109…120

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

    • Engineering Genetic Circuits: Modeling and Analysis: University of Colorado Boulder
    • Machine Learning in the Enterprise - Español: Google Cloud
    • Introduction to AI and Machine Learning on GC - Français: Google Cloud
    • Amazon Kendra Getting Started: Amazon Web Services
    • SCHC : A new era of interoperability: Institut Mines-Télécom
    • Encoder-Decoder Architecture - Italiano: Google Cloud
    • Using BigQuery Machine Learning for inference: Google Cloud
    • AI-Driven Attribution Testing: Board Infinity
    • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
    • H2O Driverless AI Starter Course: 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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