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    Results for "combinatorial algorithms"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Project on Recommendation Engine - Book Recommender

      Skills you'll gain: AI Personalization, Data Manipulation, Data Cleansing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Scikit Learn (Machine Learning Library), Data Integration, Python Programming, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mastering the Software Engineering Interview

      Skills you'll gain: Growth Mindedness, Technical Communication, Adaptability, Algorithms, Overcoming Obstacles, Software Engineering, Verbal Communication Skills, Interpersonal Communications, Communication, Problem Solving, Self-Awareness, Collaboration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      555 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Python Case Study - Cryptography

      Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Key Management, Application Security, Python Programming, Algorithms, Data Integrity

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Virginia

      Artificial Intelligence in Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Digital Marketing, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      321 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, Generative AI Agents, Applied Machine Learning, Natural Language Processing, Tensorflow, Artificial Neural Networks, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 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

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Modeling, Predictive Analytics, Data Science, Data Synthesis, Data Analysis, Content Creation, Data Cleansing, IBM Cloud, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

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

    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Project on Recommendation Engine - Book Recommender: EDUCBA
    • Mastering the Software Engineering Interview: University of California San Diego
    • Python Case Study - Cryptography: EDUCBA
    • Artificial Intelligence in Marketing: University of Virginia
    • Machine Learning: Clustering & Retrieval: University of Washington
    • IBM AI Engineering: IBM
    • What is Data Science? : IBM
    • Introduction to Machine Learning: Duke University
    • Machine Learning with Python: IBM

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