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  • Algorithms

Results for "Algorithms"


  • H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computer Science, Computational Logic, Programming Principles, Computer Programming, System Design and Implementation, Program Development, Data Storage

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving

    Skills you'll gain: Excel Macros, Visual Basic (Programming Language), Programming Principles, Data Import/Export, Microsoft Excel, Problem Solving, Computer Programming, Spreadsheet Software, Simulations, Code Review, Algorithms, UI Components, Debugging, Data Management, User Interface (UI), File I/O, Data Cleansing, Automation, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Introduction to Data Analysis Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Programming Principles, Scripting, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Visualization (Computer Graphics), Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • B

    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Forecasting, Machine Learning, Predictive Modeling, Financial Modeling, Generative AI, Time Series Analysis and Forecasting, Regression Analysis, Data Preprocessing, Credit Risk, Portfolio Management

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    947 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to Algorithms

algorithms
algorithms, part i
algorithms specialization
algorithms and data structures
algorithms for searching, sorting, and indexing
algorithms 1
algorithms on graphs
algorithms princeton
1…585960…163

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

  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
  • Applied Text Mining in Python: University of Michigan
  • Excel/VBA for Creative Problem Solving: University of Colorado Boulder
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Nail Regression & Classification: Coursera
  • Introduction to Data Analysis Using Python: Google
  • Introduction to Graph Theory: University of California San Diego
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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