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  • Practical Machine Learning

Results for "practical machine learning"


  • I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, Data Analysis Software, Computer Programming Tools, GitHub, Data Visualization Software, Data Preprocessing, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Understand and Apply Artificial Intelligence Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), 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

  • U

    University of California, Irvine

    Teaching Intermediate Grammar Project

    Skills you'll gain: Video Production, Grammar, Developing Training Materials

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Predictive Models for Financial Risk

    Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidades Anáhuac

    Francés Introductorio

    Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Communication

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

Searches related to practical machine learning

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1…878889…834

In summary, here are 10 of our most popular practical machine learning courses

  • Introduction to Data Science: IBM
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Modern Graph Theory Algorithms with Python: Packt
  • Validate and Explain Your ML Models: Coursera
  • Data Engineering Foundations: IBM
  • Understand and Apply Artificial Intelligence Fundamentals: EDUCBA
  • Design and Build Custom Neural Networks: Coursera
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Teaching Intermediate Grammar Project: University of California, Irvine
  • Predictive Models for Financial Risk: Coursera

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