ML for Finance (1) - PowerPoint PPT Presentation

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ML for Finance (1)

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Unlock the Future of Finance with Machine Learning! Our cutting-edge ML for Finance course empowers you to thrive in the dynamic world of financial markets. In just 8 weeks, gain expert insights into applying ML algorithms to predict stock prices, optimize portfolios, and detect fraudulent activities. Led by industry-renowned data scientists and finance experts, our hands-on curriculum covers regression, clustering, deep learning, and more, tailored for finance applications. – PowerPoint PPT presentation

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Title: ML for Finance (1)


1
ML for Finance
  • Build your career as Machine Learning Specialist
    in Banking and Financial Services

2
  • Machine learning in finance is now considered a
    key aspect of several financial services and
    applications, including managing assets,
    evaluating levels of risk, calculating credit
    scores, and even approving loans. Machine
    learning is a subset of data science that
    provides the ability to learn and improve from
    experience without being programmed.

3
Why Should We Use Machine Learning in Finance?
  • Choosing the right technology that can deliver
    value is paramount to investing. Here are seven
    use cases of machine learning in finance that you
    should consider.
  • Financial Forecasting
  • Advanced Customer Support
  • Portfolio Management (Robo Advisors)
  • Fraud Detection and Prevention
  • Algorithmic Trading

4
Why Finance Companies Need ML?
  • Gaining insights from massive volumes of data 
  • Streamlining and automating processes to increase
    productivity 
  • Enhancing customer experience 
  • Providing personalized customer service  
  • Strengthening security 
  • Detecting and preventing fraud 
  • Lowering risk levels

5
Benefits of Machine Learning in Finance
  • 1. Minimizing Human Errors
  • 2. Time-Efficient
  • 3. Cost-Effective
  • 4. Reduced Workload
  • 5. Free of Bias

6
IIQFs CPMLF Program - Machine Learning for
Finance Course Highlights
  • Extensive 200 hours of personalized live online
    instructor-led interactive lectures
  • Faculty - Industry practitioners academic
    researchers from BFSI machine learning, quants
    risk domain
  • Exhaustive primers preliminaries - Basic
    familiarity (Scratch-up coverage in primers
    preliminary modules)
  • Online learning modules with curated content
    case studies
  • Focused implementation labs for end-to-end ML
    algorithm data, design development, deployment
    debugging
  • Capstone project research article work for
    final evaluation
  • BFSI ML domain filtered job search interview
    prep-up

7
Contact Us
  • Indian Institute of Quantitative Finance
  • Module No. 624, Mastermind IV, Royal Palms IT
    Park,
  • Goregaon (E), Mumbai - 400065
  • (91)-9769860151 / 91-22-28797660
  • Email info_at_iiqf.org
  • Website https//iiqf.org/
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