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  • Machine Learning Andrew Ng

Results for "machine learning andrew ng>"


  • Status: Free Trial
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    P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Medical Imaging

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Collection, Business Process, Data Modeling, Business Requirements, Supervised Learning, Machine Learning Algorithms, Data Quality, Unsupervised Learning, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Modeling, Risk Management, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Computer Science, Dimensionality Reduction

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

Searches related to machine learning andrew ng>

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In summary, here are 10 of our most popular machine learning andrew ng> courses

  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Python and Machine Learning for Asset Management : EDHEC Business School
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Guided Tour of Machine Learning in Finance: New York University
  • Follow a Machine Learning Workflow: CertNexus
  • Interpretable machine learning applications: Part 3: Coursera

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