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    Results for "algorithms"

    • G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence - 日本語版

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Data Ethics, Data Quality, Machine Learning, Cloud API, Business Intelligence, Computer Vision, Natural Language Processing, Application Programming Interface (API), Predictive Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

      Skills you'll gain: Control Systems, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Applied Mathematics, Numerical Analysis, Differential Equations, Torque (Physics)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Applied Mathematics, NumPy, Calculus, Numerical Analysis, Advanced Mathematics, Linear Algebra, Data Science, Jupyter, Machine Learning Algorithms, Derivatives, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      AWS Visualization, Security, and Exam Preparation

      Skills you'll gain: AWS SageMaker, Dashboard, Data Visualization Software, Amazon CloudWatch, Amazon Redshift, AWS Kinesis, Amazon Web Services, Big Data, AWS Identity and Access Management (IAM), Amazon DynamoDB, Cloud Security, Amazon S3, Predictive Modeling, Encryption, Key Management, Machine Learning

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - Español

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - Português Brasileiro

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      ML Pipelines on Google Cloud - 日本語版

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), CI/CD, Tensorflow, Apache Airflow, Data Pipelines, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Encoder-Decoder Architecture - Español

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Feature Engineering - 한국어

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Machine Learning, Scalability

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Intermediate Data Manipulation and Machine Learning

      Skills you'll gain: Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence, Data Mining, Machine Learning, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Supervised Learning, Unsupervised Learning, Feature Engineering, Random Forest Algorithm, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistics, Machine Learning Algorithms, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability Distribution, Random Forest Algorithm, Statistical Inference, Predictive Analytics, Correlation Analysis, Sample Size Determination

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      A

      Alberta Machine Intelligence Institute

      Ethics and Responsible Practices in GenAI

      Skills you'll gain: Data Ethics, Business Ethics, Generative AI, Ethical Standards And Conduct, Artificial Intelligence, Law, Regulation, and Compliance, Regulatory Compliance, Regulatory Requirements, Governance, Information Privacy, Accountability, Social Studies, Data Security

      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 for battery management systems
    algorithms on graphs
    algorithms on strings
    1…109110111…119

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

    • Innovating with Google Cloud Artificial Intelligence - 日本語版: Google Cloud
    • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • AWS Visualization, Security, and Exam Preparation: Packt
    • Attention Mechanism - Español: Google Cloud
    • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
    • ML Pipelines on Google Cloud - 日本語版: Google Cloud
    • Encoder-Decoder Architecture - Español: Google Cloud
    • Feature Engineering - 한국어: Google Cloud
    • Intermediate Data Manipulation and Machine Learning: Packt

    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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