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  • Desktop Computing

Results for "desktop computing"


  • C

    Coursera

    Salesforce Data Architecture & Integration

    Skills you'll gain: Data Architecture, Salesforce, Salesforce Object Query Language (SOQL), Salesforce Development, Scalability, Data Integration, Data Migration, Data Quality, Database Design, Data Modeling, Web Services, Restful API, Application Programming Interface (API), Data Security, Governance, Simple Object Access Protocol (SOAP), Dashboard, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Discrete Mathematical Tools for Computer Science

    Skills you'll gain: Probability, Computational Logic, Combinatorics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Mathematical Software, Mathematical Theory & Analysis, Cryptography, Logical Reasoning, Deductive Reasoning, Computational Thinking, Computer Science, Encryption, Data Structures, Arithmetic, General Mathematics, Public Key Cryptography Standards (PKCS), Problem Solving, Cybersecurity

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Flux CD for the Absolute Beginners - Hands-On DevOps

    Skills you'll gain: Prometheus (Software), Kubernetes, CI/CD, Grafana, Application Deployment, DevOps, Continuous Deployment, Containerization, Cloud-Native Computing, System Monitoring, Application Security, Git (Version Control System), Command-Line Interface, User Interface (UI)

    Beginner · Course · 3 - 6 Months

  • D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Scale Data Warehouses Cost-Effectively

    Skills you'll gain: Data Architecture, Cloud Computing Architecture, Extract, Transform, Load, Cost Control, Cost Reduction, Expense Management, Cost Management, Data Storage, Data Manipulation, Descriptive Analytics, Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Solução de Problemas com IA e Cloud Assist

    Skills you'll gain: Cloud Management, Google Cloud Platform, Network Troubleshooting, Cloud Engineering, Cloud Services, Problem Management, Issue Tracking, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Manchester

    Industrial Biotechnology

    Skills you'll gain: Biotechnology, Sustainable Technologies, Process Engineering, Molecular Biology, Chemical Engineering, Sustainable Engineering, Life Sciences, Biochemistry, Pharmaceuticals, Biomedical Engineering, Materials science, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 3 Months

1…313233…406

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

  • Salesforce Data Architecture & Integration: Coursera
  • Data Engineering Essentials: KodeKloud
  • Discrete Mathematical Tools for Computer Science: The Hong Kong University of Science and Technology
  • Flux CD for the Absolute Beginners - Hands-On DevOps: Packt
  • Introduction to Probability and Data with R: Duke University
  • Scale Data Warehouses Cost-Effectively: Coursera
  • Reinforcement Learning: University of Alberta
  • Databricks ML in Action: Packt
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Regression: Identify Assumptions & Apply Models: Coursera

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