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  • Intro To Deep Learning

Results for "intro to deep learning"


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

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Open Web Application Security Project (OWASP), Responsible AI, Threat Modeling, Vulnerability Scanning, AI Personalization, Continuous Integration, Code Review, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IESE Business School

    Think like a CFO

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Market, Income Statement, Corporate Finance, Accounting, Financial Management, Cash Flows, Financial Acumen, Balance Sheet, Financial Modeling, Accrual Accounting, Financial Accounting, Financial Data, Financial Analysis, Management Accounting, Capital Budgeting, Finance, Equities, Business Valuation

    4.8
    Rating, 4.8 out of 5 stars
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    6.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Evaluate & Swap Models in Java ML

    Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Advanced Prompt Engineering and Memory Management

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Context Management, User Interface (UI), Vector Databases, Debugging

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
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    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    AI CERTs

    AI Essentials

    Skills you'll gain: Agentic systems, Generative AI Agents, AI Workflows, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Emerging Technologies, Business Ethics, Social Impact, Problem Solving, Analysis, Business Planning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Effective Communication: Writing, Design, and Presentation

    Skills you'll gain: Business Writing, Presentations, Peer Review, Graphic Design, Graphic and Visual Design, Business Correspondence, Public Speaking, Business Communication, Graphic and Visual Design Software, Verbal Communication Skills, Design, Visual Design, Storytelling, Writing, Organizational Skills, Project Design, Concision, Writing and Editing, Layout Design, Proofreading

    4.8
    Rating, 4.8 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Customer Analytics

    Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research

    4.6
    Rating, 4.6 out of 5 stars
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    12K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular intro to deep learning courses

  • Secure AI Code & Libraries with Static Analysis: Coursera
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Traverse Trees for ML with DFS & BFS: Coursera
  • Think like a CFO: IESE Business School
  • Evaluate & Swap Models in Java ML: Coursera
  • Advanced Prompt Engineering and Memory Management: Packt
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
  • AI Essentials: AI CERTs
  • Effective Communication: Writing, Design, and Presentation: University of Colorado Boulder
  • Track and Evaluate ML Model Experiments: Coursera

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