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  • Parallel Algorithms In C 17

Results for "parallel algorithms in c 17"


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    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 4 Weeks

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    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
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    77K reviews

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

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    University of California, Santa Cruz

    GO Programming for Everyone: Part 1

    Skills you'll gain: File I/O, Debugging, Go (Programming Language), C (Programming Language), Program Development, Integrated Development Environments, Data Structures, Computer Programming, Algorithms

    3.8
    Rating, 3.8 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Database Management, Data Warehousing, Data Governance, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    59K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, AI Enablement, Digital pedagogy, Learning Management Systems, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Ethical Standards And Conduct, Information Privacy, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 1 - 3 Months

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    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    4.5K reviews

    Mixed · Course · 1 - 3 Months

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    University of California, Davis

    Introduction to Google SEO

    Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Keyword Research, Target Audience, Branding, Target Market, Digital Marketing, Social Media Strategy, Content Strategy, Brand Awareness, Consumer Behaviour, User Research, Algorithms, Data Analysis, Business Reporting

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    Rating, 4.6 out of 5 stars
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    10K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

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    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Google Cloud

    Preparing for Google Cloud Certification: Cloud Architect

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Prompt Engineering, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Deployment, Cloud Computing, CI/CD, Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Security, Cloud Management, Cloud Services, Network Planning And Design

    4.7
    Rating, 4.7 out of 5 stars
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    62K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular parallel algorithms in c 17 courses

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • What is Data Science? : IBM
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Game Theory: Stanford University
  • GO Programming for Everyone: Part 1: University of California, Santa Cruz
  • Data Engineering Foundations: IBM
  • Generative AI for Educators: IBM
  • Cryptography I: Stanford University
  • Introduction to Google SEO: University of California, Davis
  • IBM Data Analyst: IBM

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