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  • Scinetific Computing

Results for "scinetific computing"


  • Status: New
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    M

    Microsoft

    Fundamentals of Big Data with Microsoft Azure

    Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Databricks, Big Data, Distributed Computing, Public Cloud, Cloud Computing, Data Lakes, Cloud Platforms, Data Processing, Scalability, Analytics

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    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
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    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

  • Status: New
    New
    Status: Free Trial
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    G

    Google Cloud

    Generative AI Leader

    Skills you'll gain: Prompt Engineering, Google Gemini, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Google Workspace, Google Cloud Platform, AI Enablement, Gemini, AI Security, AI Product Strategy, Large Language Modeling, AI Workflows, Data Ethics, Cloud Computing, Cloud Infrastructure, LLM Application, Artificial Intelligence, Collaboration

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Assets, Threats, and Vulnerabilities

    Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Personally Identifiable Information, Encryption, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Operating Systems: Overview, Administration, and Security

    Skills you'll gain: Operating System Administration, Cloud Computing, Linux Commands, Linux Administration, Linux Servers, Cloud Security, Operating Systems, Windows PowerShell, Windows Servers, File Systems, System Software, Mac OS, Command-Line Interface, Active Directory, Computer Systems, Virtual Machines, Firewall, Virtualization, Containerization, User Accounts

    4.6
    Rating, 4.6 out of 5 stars
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    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    G

    Google Cloud

    AI Infrastructure: Deployment Types

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Kubernetes, Cloud Deployment, Infrastructure As A Service (IaaS), Model Deployment, Network Performance Management, Application Deployment, Cloud Engineering, AI Orchestration, Containerization, Performance Tuning, Network Planning And Design, Distributed Computing, System Configuration

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Fundamentals

    Skills you'll gain: Encryption, Public Key Infrastructure, Cryptography, Network Security, Cybersecurity, Data Security, Cryptographic Protocols, Cyber Attacks, Advanced Encryption Standard (AES), Application Security, Information Technology, Computer Security Awareness Training, Cyber Security Strategy, Authentications, Authorization (Computing), Security Controls, Personally Identifiable Information, Security Awareness, Cyber Security Policies, Computer Security Incident Management

    4.8
    Rating, 4.8 out of 5 stars
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    2.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    L

    LearnKartS

    Cloud Security Foundations

    Skills you'll gain: Cloud Computing Architecture, Identity and Access Management, Cloud Infrastructure, AWS Identity and Access Management (IAM), Virtual Machines, Cloud Security, Virtualization, Cloud Computing, Cloud Deployment, Cloud Platforms, Authorization (Computing), Role-Based Access Control (RBAC), User Provisioning, Threat Management, Authentications, Zero Trust Network Access, Multi-Factor Authentication, Threat Detection, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to scinetific computing

scientific computing
introduction to python for scientific computing
1…171819…353

In summary, here are 10 of our most popular scinetific computing courses

  • Fundamentals of Big Data with Microsoft Azure: Microsoft
  • Generative AI with Large Language Models: DeepLearning.AI
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Generative AI Leader: Google Cloud
  • Assets, Threats, and Vulnerabilities: Google
  • Operating Systems: Overview, Administration, and Security: IBM
  • Mathematics for Machine Learning: Imperial College London
  • AI Infrastructure: Deployment Types: Google Cloud
  • Cybersecurity Fundamentals: IBM
  • Cloud Security Foundations: LearnKartS

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