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  • Python Implementation

Results for "python implementation"


  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • Status: New
    New
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    Packt

    Building AI Applications with OpenAI APIs

    Skills you'll gain: OpenAI API, Application Deployment, LLM Application, ChatGPT, Model Deployment, Application Programming Interface (API), Prompt Engineering, Natural Language Processing, User Interface (UI), Email Automation, Generative AI, Application Development, Payment Systems, Python Programming, Django (Web Framework), Flask (Web Framework), Software Development, AI Personalization

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

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

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Model Deployment, AWS SageMaker, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Systems Design, Cloud Computing Architecture, Transfer Learning, Model Evaluation, Cloud Deployment, PyTorch (Machine Learning Library), Cloud Computing, Network Architecture, Unit Testing, API Design, Deep Learning, Python Programming, Data Validation, CI/CD, Keras (Neural Network Library)

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Pragmatic AI Labs

    Production Governance and MLOps on Databricks

    Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, GitHub, Model Deployment, Data Management, CI/CD, Data Quality, Git (Version Control System), Continuous Integration, Data Engineering, Continuous Monitoring, Python Programming, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Project Management Principles and Practices

    Skills you'll gain: Cost Estimation, Project Risk Management, Project Schedules, Work Breakdown Structure, Project Performance, Project Planning, Estimation, Communication Planning, Quality Management, Planning, Change Control, Timelines, Project Management, Milestones (Project Management), Peer Review, Budgeting, Scheduling, Risk Analysis, Project Implementation, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
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    31K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
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    481 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python implementation courses

  • Foundations of AI Engineering: Packt
  • AI Engineer Professional: Packt
  • Building AI Applications with OpenAI APIs: Packt
  • ML Production Systems: Coursera
  • Introduction to Machine Learning: Duke University
  • AI Model Development & Deployment: Coursera
  • Production Governance and MLOps on Databricks: Pragmatic AI Labs
  • AI Engineer Associate: Packt
  • Project Management Principles and Practices: University of California, Irvine
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft

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