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  • Machine Learning Methods

Results for "machine learning methods"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Generative AI Agents, Docker (Software), Agentic systems, Generative AI, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

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

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

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

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning

    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: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Data Quality, Machine Learning Software, Business Metrics, Machine Learning Methods, Machine Learning, Applied Machine Learning, Logistic Regression, Dataflow, Cloud Deployment, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Foundations & Methods

    Skills you'll gain: People Analytics, Report Writing, Statistical Reporting, Data Literacy, Business Reporting, Management Reporting, Data Presentation, Excel Formulas, Data Storytelling, Data Visualization, Data Analysis, Microsoft Excel, Analytics, Statistical Methods, Technical Communication, Statistical Hypothesis Testing, Statistical Analysis, Executive Presence, Stakeholder Communications, Persuasive Communication

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, 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

    3.9
    Rating, 3.9 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    73 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Risk Management, Logistic Regression

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Julia Programming for Data Science and Machine Learning

    Skills you'll gain: Plot (Graphics), Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, Statistical Analysis, Scripting Languages, C (Programming Language), Data Structures, Machine Learning

    Intermediate · Course · 1 - 3 Months

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

  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Data Foundations & Methods: Coursera
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University

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