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  • Intro To Deep Learning

Results for "intro to deep learning"


  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Financial Market, Financial Trading, Market Data, Securities Trading, Tensorflow, Keras (Neural Network Library), Python Programming, Applied Machine Learning, Technical Analysis, Quantitative Research, Market Trend, Machine Learning, Model Evaluation, Portfolio Management

    3.9
    Rating, 3.9 out of 5 stars
    ·
    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Arduino Bootcamp - Learning Through Projects

    Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Display Devices, Embedded Systems, Electronic Components, Computer Programming Tools, Development Environment, Electrical Wiring, Programming Principles, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini for Google Cloud Learning Path

    Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Customer Insights, Customer Analysis, Kubernetes, Generative AI, Customer Data Management, Big Data, Google Cloud Platform, Test Script Development, Software Development Life Cycle, Cloud Security, Development Testing, Virtual Networking, Application Deployment, DevOps, Application Development, Security Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    28 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Use Canva to Design Digital Course Collateral

    Skills you'll gain: Canva (Software), Color Theory, Developing Training Materials, Digital Design, Design Elements And Principles, Graphic Design, Marketing, Social Media

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Learning Google Apps Script - Automate Google Apps

    Skills you'll gain: Scripting, Email Automation, Google Workspace, Google Sheets, Automation, Spreadsheet Software, Gmail, Javascript, Hypertext Markup Language (HTML), Web Applications, Application Design, Application Development, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Cloud Computing Architecture, Systems Architecture, Performance Tuning, Distributed Computing, Machine Learning, Scalability, Data Pipelines, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Statistics Foundations

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistics, Data Modeling, Statistical Analysis, Business Analytics, Marketing Analytics, Analytics, Probability & Statistics, Data Analysis, Descriptive Analytics, Statistical Methods, Tableau Software, Statistical Modeling, A/B Testing, Time Series Analysis and Forecasting, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    382 reviews

    Beginner · Course · 1 - 3 Months

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

  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Mastering Machine Learning Algorithms using Python: Packt
  • Arduino Bootcamp - Learning Through Projects: Packt
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Gemini for Google Cloud Learning Path: Google Cloud
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Use Canva to Design Digital Course Collateral: Coursera
  • Learning Google Apps Script - Automate Google Apps: Packt

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