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  • Artificial Intelligence Introduction

Results for "artificial intelligence introduction"


  • Status: Free Trial
    Free Trial
    P

    Packt

    ReactJS and Tailwind CSS Fundamentals

    Skills you'll gain: Web Applications, Application Development, Web Development, JavaScript Frameworks, OAuth, UI Components, Front-End Web Development, Authentications, React.js, Development Environment, Software Installation, Cascading Style Sheets (CSS)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Cyber Secure Coder (CSC-110)

    Skills you'll gain: Secure Coding, Application Security, Open Web Application Security Project (OWASP), Security Engineering, Cybersecurity, Security Requirements Analysis, Security Testing, Vulnerability Assessments, Code Review, Software Design, Encryption, Vulnerability Management, Data Security, Cryptography, Continuous Monitoring, Authentications, Development Testing, System Monitoring, Authorization (Computing)

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Contract Managers: Automating CLM

    Skills you'll gain: Contract Management, Performance Analysis, Legal Technology, Contract Review, Generative AI, Analysis, Workflow Management, Compliance Management, Document Management, Supplier Management, Business Process Automation, Vendor Management, Automation, Process Optimization, Operational Efficiency, Risk Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Zero to Hero: Master Java SpringBoot & JPA with Projects

    Skills you'll gain: Spring Boot, Hibernate (Java), Object-Relational Mapping, GitHub, Git (Version Control System), Java, Software Documentation, JUnit, Restful API, Application Performance Management, API Design, Model View Controller, Postman API Platform, User Accounts

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Cloud Security, Resiliency, and Vulnerability Management

    Skills you'll gain: Infrastructure as Code (IaC), Endpoint Security, Vulnerability Management, Cloud Computing Architecture, Cloud Security, Cyber Threat Intelligence, Vulnerability Assessments, Cyber Attacks, Zero Trust Network Access, Cybersecurity, Network Security, Cloud Deployment, Infrastructure Security, Mobile Security, Security Controls, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Data Processing, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Product R&D Teams

    Skills you'll gain: AI Product Strategy, Prompt Engineering Tools, Generative AI, Innovation, New Product Development, Product Development, Responsible AI, Process Development, AI Enablement, Ethical Standards And Conduct, AI Workflows, Project Management

    Beginner · Course · 1 - 4 Weeks

Searches related to artificial intelligence introduction

introduction to artificial intelligence
introduction to artificial intelligence (ai)
introduction to tensorflow for artificial intelligence, machine learning, and deep learning
1…390391392…471

In summary, here are 10 of our most popular artificial intelligence introduction courses

  • ReactJS and Tailwind CSS Fundamentals: Packt
  • Cyber Secure Coder (CSC-110) : Packt
  • GenAI for Contract Managers: Automating CLM: Coursera
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • Последовательные модели: DeepLearning.AI
  • Applied Data Science: Clemson University
  • Zero to Hero: Master Java SpringBoot & JPA with Projects: Packt
  • Cloud Security, Resiliency, and Vulnerability Management: Packt
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University

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