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  • Statistical Inference

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Results for "statistical inference"


  • Status: New
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    EDUCBA

    Mergers & Acquisitions: Analyze, Value & Execute

    Skills you'll gain: Mergers & Acquisitions, Financial Modeling, Business Valuation, Financial Analysis, Investment Banking, Financial Forecasting, Case Studies, Corporate Strategy, Plan Execution, Cash Flows

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Introduction to Responsible AI - בעברית

    Skills you'll gain: Responsible AI, Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Introduction to Docker and Containers

    Skills you'll gain: Docker (Software), Containerization, CI/CD, Devops Tools, Kubernetes, DevOps, R Programming, Application Deployment, Development Environment, Software Installation, YAML, Application Development, Node.JS, Command-Line Interface, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Choisir la Meilleure Méthode pour Illustrer les Données

    Skills you'll gain: Interactive Data Visualization, Heat Maps, Data Visualization, Data Visualization Software, Matplotlib, Plotly, Data Storytelling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis, Data Preprocessing, Data Science, Data Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Google Cloud

    Gemini in BigQuery

    Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Gemini, Embeddings, Generative AI, Predictive Modeling, Vector Databases, Big Data, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Prompt Engineering, SQL, Large Language Modeling, Python Programming, Data Preprocessing, Customer Relationship Management, Google Cloud Platform, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Beginner · Specialization · 1 - 4 Weeks

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    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Customer Insights, Advanced Analytics, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular statistical inference courses

  • Mergers & Acquisitions: Analyze, Value & Execute: EDUCBA
  • Introduction to Responsible AI - בעברית: Google Cloud
  • Introduction to Docker and Containers: Pearson
  • Choisir la Meilleure Méthode pour Illustrer les Données: Coursera
  • Gemini in BigQuery: Google Cloud
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Machine Learning with Small Data Part 1: Northeastern University
  • Introduction to AI and Machine Learning on GC - Italiano: Google Cloud

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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