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  • Python Numpy

Results for "python numpy"


  • P

    Pearson

    Introduction to Django

    Skills you'll gain: Django (Web Framework), Development Environment, Authentications, Model View Controller, Web Development, Software Installation, Application Frameworks, Integrated Development Environments, Security Controls, Virtual Environment, System Configuration, Application Development, Application Deployment, API Design, Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • N

    Northwestern University

    현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

    Skills you'll gain: Control Systems, Robotics, Simulation and Simulation Software, Graph Theory, Mathematical Software, Mathematical Modeling, Artificial Intelligence, Algorithms, Virtual Environment, Differential Equations

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • S

    Starweaver

    GenAI Model Development and Production Engineering

    Skills you'll gain: Model Deployment, Generative AI, Transfer Learning, Kubernetes, Containerization, Docker (Software), Cloud Infrastructure, Scalability, Prompt Engineering, MLOps (Machine Learning Operations), AI Orchestration, Large Language Modeling, AI Security, Performance Tuning, Continuous Deployment, Continuous Monitoring, Development Environment, Process Optimization, Automation, Job Evaluation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Real-Time Dashboards with Spark

    Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate & Secure LLM Deployments

    Skills you'll gain: LLM Application, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), Cloud Management, System Monitoring, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • R

    Real Madrid Graduate School Universidad Europea

    Conceptos imprescindibles - Requisitos para el análisis

    Skills you'll gain: Data Literacy, Technical Communication, Probability & Statistics, Web Scraping, Data Import/Export, JSON, Statistical Analysis, Pandas (Python Package), Analytical Skills, Descriptive Statistics, Data Manipulation, Probability, Data Collection, Data Capture, Restful API, Performance Measurement, Data Cleansing, Application Programming Interface (API)

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Transform Data: SQL & Pandas Mastery

    Skills you'll gain: SQL, Data Transformation, Data Wrangling, Data Manipulation, Pandas (Python Package), Query Languages, Consolidation, Time Series Analysis and Forecasting, Analytics, Pivot Tables And Charts, Apache Spark

    Intermediate · Course · 1 - 4 Weeks

1…148149150…152

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

  • Introduction to Django: Pearson
  • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • GenAI Model Development and Production Engineering: Starweaver
  • Build & Adapt LLM Models with Confidence: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Learn to Choose the Right ML Model: Coursera
  • Build Real-Time Dashboards with Spark: Coursera
  • Automate & Secure LLM Deployments: Coursera
  • Conceptos imprescindibles - Requisitos para el análisis : Real Madrid Graduate School Universidad Europea

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