Machine Learning Stock Market: Business Strategy & Machine Learning in the Financial Industry

This article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at the undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Machine Learning Finance

Summary
  • Background behind Machine Learning and Deep Learning
  • Strategic adaption of AI and Machine Learning in a business environment
  • Why financial firms need Deep Learning techniques to remain competitive
  • Finance firm's adoption of GPUs into operational activities

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Deep Learning Finance: Revolutionizing The Market Today

This article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at the undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Deep Learning Finance

Summary
  • How Deep Learning developed from AI
  • The evolution of Deep Learning in the market
  • How the finance sector has begun to further take advantage of Deep learning
  • I Know First implementation of Deep Learning to better forecast financial markets

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How Deep Learning Works In The Stock Market And How to Utilize It for Investment Decisions

    The article was written by Yutian Fang, a Financial Analyst at I Know First and Master of Science in Finance candidate at Brandeis International Business School  

Summary

  • To make informed investment is always what investors are concerned about
  • Solutions saw their limitations and improvements as techniques developed
  • What Deep Learning can do -Deep Networks for Unsupervised or Generative Learning -Deep Networks for Supervised Learning -Hybrid Deep Networks
  • How I Know First utilized Deep Learning for investment decisions

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Deep Reinforcement Learning Part 2: The Game of Stock Trading

    The article was written by Hieu Nguyen, a Financial Analyst at I Know First.    

Summary:

  • What to look for in the game of stock trading
  • Several problems with Reinforcement Learning
  • How far can we go with Reinforcement Learning?
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Bayesian Neural Networks: Bayes’ Theorem Applied to Deep Learning

  The article was written by Amber Zhou, a Financial Analyst at I Know First.

Highlights:

  • Vanilla Deep Learning Method: Multilayer Perceptron (MLP)
  • Introduction to Bayes’ Theorem
  • Application of Bayes’ Theorem: Bayesian Inference
  • Combination: Bayesian Neural Networks
  • How I Know First Utilizes Bayesian Neural Networks for Forecasting

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Deep Reinforcement Learning: Building A “Self-Driving Car” In Financial World.

  The article was written by Hieu Nguyen, a Financial Analyst at I Know First.

     

Summary:

  • What makes Deep Reinforcement Learning different?
  • Markov Decision Process and its application
  • How to find Optimal Policy using Q-learning?
  • Building a “Self-Driving Car” in financial world
When talking about deep learning, many seems to refer it to only computer science. Today, we will talk about a part of deep learning that utilize many areas of both natural science and social science: Deep Reinforcement Learning. Deep Reinforcement Learning has been changing our world every day. This learning method helps scientists to explore new disease treatments, help engineers to develop self-driving cars, and help investors to maximize their profit. To subscribe today and receive exclusive AI-based algorithmic predictions, click here

Deep Learning Algorithms: The Future of Financial Investment?

    The article was written by Harry Chiang, a Financial Analyst at I Know First.

Deep Learning & Finance

Summary:
  • What is Deep Learning?
  • Deep Learning Applications Today
  • Deep Learning & Financial Markets
  • I Know First's Role in the Machine-Learning World

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