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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    319 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Automate Cybersecurity Tasks with Python

    Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, AI Personalization, Generative AI, Email Automation, LLM Application, Data Analysis, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.1K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Responsible AI, AI Personalization, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign
  • Convolutional Neural Networks: DeepLearning.AI
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Machine Learning: Regression: University of Washington
  • Automate Cybersecurity Tasks with Python: Google
  • Google Prompting Essentials: Google
  • Introduction to Computer Vision and Image Processing: IBM
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Probabilistic Graphical Models: Stanford University
  • Big Data: University of California San Diego

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