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Results for "represent data visually"


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    A

    AI CERTs

    Prompt Engineering Mastery

    Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft 365 Fundamentals

    Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Data Visualization, Presentations, Spreadsheet Software, Microsoft Office, Microsoft 365, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Editing, Data Management, File Management

    4.7
    Rating, 4.7 out of 5 stars
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    6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    GenAI Prompting, Evaluation, and Governance

    Skills you'll gain: Responsible AI, AI Security, Prompt Engineering, Generative AI, Governance Risk Management and Compliance, Content Performance Analysis, Risk Management, Governance, Retrieval-Augmented Generation, Model Evaluation, Compliance Management, Data-Driven Decision-Making, Performance Analysis, Cross-Functional Team Leadership, System Monitoring, Gap Analysis, Large Language Modeling, Performance Metric, Quality Assessment, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The R Programming Environment

    Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Big Data, Statistical Programming, Text Mining, Data Import/Export, Data Analysis, Data Structures, Performance Tuning, Application Programming Interface (API)

    4.3
    Rating, 4.3 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Algorithms, Regression Analysis, Machine Learning, Predictive Modeling, Classification Algorithms, Scikit Learn (Machine Learning Library), Data Preprocessing, Feature Engineering, Statistical Methods, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
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    819 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Autoencoders, Applied Machine Learning, Tensorflow, Transfer Learning, Model Evaluation, Computer Vision, Machine Learning, Supervised Learning, Machine Learning Algorithms, Regression Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    P

    Packt

    AI & LLM Engineering Mastery - GenAI, RAG Complete Guide

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Data Processing, Tensorflow, Data Transformation, Data Pipelines, Model Evaluation, Keras (Neural Network Library), Google Cloud Platform, Machine Learning, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    596 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular represent data visually courses

  • Prompt Engineering Mastery: AI CERTs
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Microsoft 365 Fundamentals: Microsoft
  • GenAI Prompting, Evaluation, and Governance: Coursera
  • Fundamentals of Reinforcement Learning: University of Alberta
  • The R Programming Environment: Johns Hopkins University
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • Supervised Machine Learning: Regression: IBM
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • AI & LLM Engineering Mastery - GenAI, RAG Complete Guide: Packt

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