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Library Courses

Library courses can help you learn cataloging, reference services, information literacy, and digital resource management. You can build skills in research techniques, data organization, and community outreach. Many courses introduce tools like integrated library systems and online databases, that support managing collections and providing access to information.

Popular Library Courses and Certifications


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    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize Deep Learning: Stabilize and Diagnose Models

    Skills you'll gain: Model Optimization, Model Training, Budgeting, Keras (Neural Network Library), Data Preprocessing, Failure Analysis, Root Cause Analysis, Process Improvement and Optimization, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Web Design and User Experience Engineering Part 2

    Skills you'll gain: Agile Methodology, Web Design and Development, React.js, Web Design, User Interface (UI) Design, User Interface and User Experience (UI/UX) Design, Agile Software Development, Web Content Accessibility Guidelines, Front-End Web Development, Web Development, User Experience Design, Wireframing, Web Applications, HTML and CSS, Application Deployment, Software Development Methodologies, UI Components, Interactive Design, JavaScript Frameworks, Cascading Style Sheets (CSS)

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Feature Engineering - Italiano

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Processing, Machine Learning Methods, Data Store, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Data Modeling, Statistical Methods

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Model Training, Data Preprocessing, Cloud Deployment, Data Processing, Deep Learning, Model Optimization, Data Transformation, Artificial Neural Networks, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

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    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn

    Mixed · Course · 1 - 3 Months

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    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    User Segmentation, Experimentation, and Retention Analytics

    Skills you'll gain: Customer Retention, Customer Analysis, Customer Insights, Driving engagement, Sample Size Determination, Analytics, User Research, Product Management, Trend Analysis, Statistical Inference, Data-Driven Decision-Making, Unsupervised Learning, Analysis, Statistical Hypothesis Testing, Statistical Analysis, Performance Measurement, Scikit Learn (Machine Learning Library), Strategic Decision-Making, Algorithms

    Intermediate · Course · 1 - 3 Months

1…697071…78

In summary, here are 10 of our most popular library courses

  • Grow Trees & Powerful Ensembles: Coursera
  • Optimize Deep Learning: Stabilize and Diagnose Models: Coursera
  • Web Design and User Experience Engineering Part 2: Northeastern University
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Feature Engineering - Italiano: Google Cloud
  • Automate ML Pipelines for Peak Performance: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Machine Learning with R: Packt
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA

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