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Results for "quick learning"


  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Methods, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Project Management Software, Technical Communication, Technical Product Management, Performance Metric, Agile Project Management, Data Analysis, Project Management, Analytics, Stakeholder Communications, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    60 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Machine Learning Algorithms, Feature Engineering, Supervised Learning, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Embeddings, Decision Tree Learning, Classification Algorithms, Deep Learning, Dimensionality Reduction, Model Evaluation, Artificial Neural Networks, Regression Analysis, Logistic Regression

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to quick learning

c++ crash course - quick and practical learning
1…434445…547

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

  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Data and Machine Learning for Technical Product Managers: Coursera
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud

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