ML for Finance - PowerPoint PPT Presentation

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ML for Finance

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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. Join a vibrant community of like-minded learners and participate in real-world projects, harnessing ML to solve actual financial challenges. Whether you're a finance professional seeking a competitive edge or an aspiring data scientist eager to delve into the financial realm, this course is your gateway to success. Don't miss this chance to elevate your finance career with Machine Learning. Limited seats available. Enroll now and embrace the future of finance! – PowerPoint PPT presentation

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Title: ML for Finance


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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