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  • Foundational Knowledge Needed To Work With Dark Data

Results for "foundational knowledge needed to work with dark data"


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    Coursera

    NLP: Fine-Tune & Preprocess Text

    Skills you'll gain: Natural Language Processing, Data Wrangling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Partition & Monitor AI Models Effectively

    Skills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Master Dart Programming: Intermediate Control Flow & OOP

    Skills you'll gain: Scalability, Event-Driven Programming, Functional Design, Application Development, User Flows, Application Design, Computer Programming

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    User Retention Analytics

    Skills you'll gain: Dashboard, Data Storytelling, Marketing Budgets, Heat Maps, Looker (Software), Process Mapping, Customer Retention, SQL, Data Visualization, Marketing Analytics, Customer Insights, Tableau Software, Statistical Analysis, Predictive Analytics, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Data-Driven Decision-Making, R Programming, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    AI Technologies, Tools & Cloud Certification Specialization

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, AWS SageMaker, Responsible AI, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, OpenAI, Amazon Bedrock, Robotic Process Automation, Cloud Deployment, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Scalability, Data Preprocessing, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing, Performance Analysis

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Software Testing, CI/CD, Scalability, Continuous Integration, Benchmarking, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

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    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    800 reviews

    Intermediate · Course · 1 - 3 Months

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    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Master AI Tools & Robotics: Analyze, Automate, Innovate

    Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Edureka

    LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases

    Intermediate · Specialization · 3 - 6 Months

1…464465466…834

In summary, here are 10 of our most popular foundational knowledge needed to work with dark data courses

  • NLP: Fine-Tune & Preprocess Text: Coursera
  • Partition & Monitor AI Models Effectively: Coursera
  • Master Dart Programming: Intermediate Control Flow & OOP: EDUCBA
  • Level Up: Java-Powered Machine Learning: Coursera
  • User Retention Analytics: Coursera
  • AI Technologies, Tools & Cloud Certification Specialization: EDUCBA
  • Vision & Audio AI Systems: Coursera
  • ML Production Systems: Coursera
  • Improving your statistical inferences: Eindhoven University of Technology
  • Introducción a R para ciencia de datos: Universitat Politècnica de València

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