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  • Machine Learning Applied To Finance

Results for "machine learning applied to finance"


  • Status: Free Trial
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    C

    Coursera

    GenAI for Cash Flow Managers: Optimizing Liquidity Planning

    Skills you'll gain: Cash Flow Forecasting, Responsible AI, Accounts Payable, Financial Forecasting, Cash Flows, Risk Management, Generative AI, Data Ethics, Accounting and Finance Software, No-Code Development, Financial Data, Business Process Automation, Forecasting, Accounts Receivable, Workflow Management, Regulatory Compliance, Compliance Training, International Financial Reporting Standards, ChatGPT, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    GenAI for Financial Insights and Analysis with QUILL

    Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Financial Forecasting, Competitive Intelligence, Data-Driven Decision-Making, Financial Statements, Text Mining, Investment Management, Financial Market, Artificial Intelligence, Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
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    C

    Coursera

    GenAI for Portfolio Managers: Smarter Asset Allocation

    Skills you'll gain: Portfolio Management, Asset Management, Investment Management, Generative AI, Prompt Engineering, Artificial Intelligence, ChatGPT, Ethical Standards And Conduct, Risk Management, Risk Analysis, Real Time Data, Correlation Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    745 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

    4.6
    Rating, 4.6 out of 5 stars
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    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning, Reinforcement Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Deep Learning, Feature Engineering, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
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    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular machine learning applied to finance courses

  • GenAI for Cash Flow Managers: Optimizing Liquidity Planning: Coursera
  • GenAI for Financial Insights and Analysis with QUILL: Coursera
  • Interpretable machine learning applications: Part 3: Coursera
  • GenAI for Portfolio Managers: Smarter Asset Allocation: Coursera
  • IBM Machine Learning: IBM
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Machine Learning: University of Washington
  • Machine Learning: DeepLearning.AI
  • IBM Introduction to Machine Learning: IBM

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