In The News: I Know First Article on Machine Learning Featured on TechgraByte

I Know First was recently cited in an article on TechgraByte.com, a leading news source for technology, gadget, artificial intelligence, and business topics. The article, which can be found here, discusses how beginners can approach the field of Artificial Intelligence and learn the skills necessary to apply it to projects. When discussing the current state of AI, the article mentions how machine learning techniques are used for searching the web, placing ads, credit scoring, and stock trading.

Source: Flickr

I Know First, and the article cited by TechgraByte, are great resources for understanding

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Why Machine Learning Is Important In The Future

“There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” —Gray Scott

Summary

  • How Neurons Build A Neural Network
  • Difference Between Unsupervised And Supervised Learning
  • For Google Machine Learning Is The Future
  • I Know First Predictive Algorithm

How Neurons Build A Neural Network

[Image Source: medium.freecodecamp.org]

A Neuron can simply be described as a function. A function is a fancy name for something that takes some input, applies some logic, and outputs the result. A Neuron can also be determined as one learning unit. The crucial part is to understand what a learning unit (function) is, then we will understand the basic building block of a Neural Network. A function is basically a relationship between two variables usually denoted

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Deep Learning Algorithms: Deep Learning Through TensorFlow

This article was written by David Berger, a Financial Analyst at I Know First.

Deep Learning Algorithms: Deep Learning Through TensorFlow

Summary:
  • What is Deep Learning?
  • TensorFlow- Google's Open Source Software Library
  • TensorFlow Compared to Other Libraries
  • Early Results from TensorFlow

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I Know First at the AI In Finance Summit New York 2018: Video + Interview

I Know First Presents at the AI In Finance Summit

I Know First was honored to be selected to present as one of the leaders of innovation through incorporation of machine learning & deep learning into the financial sector. The event took place in New York City beginning on September 6th. In the presentation delivered by CEO & Co-Founder Yaron Golgher, he explains how modeling the market as a complex chaotic system allows algorithms like I Know First’s to accurately predict the stock market. Co-Founder & Partner Dr. Lipa Roitman further elaborates and dissects a more technical view of the algorithm and how it was founded. The presentation  labeled: Investment Selection By Combining Chaos Theory with Artificial Intelligence, can be viewed in it's entirety above...

An Overview of How To Use I Know First’s AI Forecasts for ETF Trading

In the following we give an overview of the construction and performance of ETF Portfolios constructed using I Know First’s Algorithmic Forecasts for the SPDR Sector ETFs. We present the construction and performance of:
  1. Portfolios which directly use the algorithmic signals generated to select the sector ETFs to invest in and to rebalance the portfolio
  2. Portfolios which use sector-level predictions computed by aggregating our forecasting algorithm’s daily forecasts for individual S&P 500 stocks
  3. Portfolios which combine the algorithmic forecasts with an equally invested benchmark to create long only strategies which allow investors to target desired alpha and beta statistics
We show that these portfolios register very good performance statistics over the analyzed time-horizon outperforming the benchmark.

3 Ways To Cluster Data Using Unsupervised Learning

  This article was written by Julia Masch, a Financial Analyst at I Know First.



 

Highlights:

  • Understanding Unsupervised Learning
  • Types of Clustering and How To Implement Them
  • How I Know First Uses Clustering

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What Is An Artificial Neural Network And How I Know First Is Using It?

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

Artificial Neural Network and I Know First

Summary:

  • Artificial Neural Network Definition – word by word
  • How does Artificial Neural Network work?
  • Application of ANN in real life
  • How ANN transforms the financial market?
  • Artificial Neural Network and I Know First

You come to the office today like every other day, sit down, grab a cup of coffee, and start reading the news. The more you read, the more you realize there are some words that show up more often “Artificial Intelligence”, “Artificial Neural Network”, “Deep Learning”. A decade ago, no one talked about these concepts. You start to ask yourself “What is all of these?” How’re they going to change my world?”

Artificial Neural Network Definition – word by word

Undoubtedly, Artificial Neural Network (ANN) has turned the page of the computer science

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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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