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  • Shors Algorithm

Results for "shor's algorithm"


  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Classification Algorithms, Amazon Web Services, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Project on Recommendation Engine - Book Recommender

    Skills you'll gain: Data Preprocessing, Data Transformation, Feature Engineering, Pandas (Python Package), Text Mining, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Microsoft Security, Compliance & Identity Fundamentals

    Skills you'll gain: Zero Trust Network Access, Microsoft Azure, Cloud Security, Endpoint Detection and Response, Security Controls, Multi-Factor Authentication, Cloud Computing, Identity and Access Management, Enterprise Security, Data Governance, Encryption

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Chatbots for Beginners: A Complete Guide to Build Chatbots

    Skills you'll gain: Deep Learning, Tensorflow, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Recurrent Neural Networks (RNNs), Machine Learning Methods, Natural Language Processing, Python Programming, Serverless Computing, Machine Learning, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Practical Cybersecurity Fundamentals: Unit 1

    Skills you'll gain: Cybersecurity, Network Security, Business Continuity, Disaster Recovery, Cryptography, Encryption, Infrastructure as Code (IaC), Software-Defined Networking, Identity and Access Management, Security Controls, Computer Networking, System Monitoring, User Accounts, Authorization (Computing), Authentications

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Using the Natural Language API from Google Docs

    Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Cloud API, Document Management, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    AI Product Management: The Complete Handbook

    Skills you'll gain: AI Product Strategy, Product Management, Commercialization, Technical Product Management, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Responsible AI, Digital Transformation, Team Performance Management, Machine Learning, Data-Driven Decision-Making, Deep Learning, User Feedback

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Modern Natural Language Processing

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, Large Language Modeling, Generative Adversarial Networks (GANs), ChatGPT, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Prompt Engineering, Application Programming Interface (API), Transfer Learning, Machine Learning Algorithms, Data Preprocessing, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Interview Questions and Real-World Applications

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Program Development, Technical Design, Debugging, Problem Solving, Performance Tuning

    Intermediate · Course · 3 - 6 Months

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In summary, here are 10 of our most popular shor's algorithm courses

  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Project on Recommendation Engine - Book Recommender: EDUCBA
  • Microsoft Security, Compliance & Identity Fundamentals: Whizlabs
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Chatbots for Beginners: A Complete Guide to Build Chatbots: Packt
  • Practical Cybersecurity Fundamentals: Unit 1: Pearson
  • Using the Natural Language API from Google Docs: Google Cloud
  • AI Product Management: The Complete Handbook: Packt
  • Modern Natural Language Processing: Packt
  • Data Science Fundamentals Part 1: Unit 1: Pearson

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