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Major Algorithmic Breakthroughs Of 2021

With so much research and effort going into solving real-world problems with AI algorithms, 2021 was a pivotal year for its advancement. We saw some jaw-dropping innovations through AI mechanisms this year – from robots reproducing to finding exoplanets with the help of AI algorithms. via https://ift.tt/33KWmED

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World’s biggest computer chip can simulate the future ‘faster than the laws of physics’, creators claim

A recent test of the biggest computer chip in the world found that it can predict what is going to happen in the future “faster than the laws of physics produce the same result", researchers have said.The Cerebras CS-1 chip, which contains 1. via https://ift.tt/2UQ7wR3

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Lucy says hi — 2031, AGI, and the future of A.I

Lucy anticipates your needs and concerns all throughout the day, and is there to share with you the good times and comfort you through the hard ones. She was born from the next revolution that happened after the deep learning one. And what is Lucy made of? via https://ift.tt/2TzKLmT

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Our Favorite Deep Learning Papers and Talks from ICLR 2021

The International Conference on Learning Representations is one of the premier international conferences on machine learning, with a special focus on deep learning (also known as representation learning). As we have in past years, Two Sigma sponsored the ICLR 2021, which took place virtually in May. via https://ift.tt/3K8pRB9

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10 Machine Learning Algorithms every Data Scientist should know

An analytical model is a statistical model that is designed to perform a specific task or to predict the probability of a specific event. In layman terms, a model is simply a mathematical representation of a business problem. via https://ift.tt/3AQN59F

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Quick list of useful R packages – RStudio Support

Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line There are thousands of helpful R packages for you to use, but navigating them all can be a challenge. via https://ift.tt/3jNIEWa

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3 Awesome Python Libraries That You Should Know About

A few days ago, I published a blog on 5 Python Libraries That You Don’t Know About, But Should. That blog had dozens of thousands of views in less than a week. Thus, I decided to write a part two with other cool libraries that you should try out. via https://ift.tt/35nuEeY

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Use Python to Value a Stock Automatically

In a previous article I described how to manually obtain data from the web and perform calculations for the intrinsic value of Apple stock, as well as explained the discounted cash flow model in full detail. via https://ift.tt/3c5GcGp

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A Complete 52 Week Curriculum to Become a Data Scientist in 2021

If you want to be a data scientist but haven’t yet made the commitment, now is the time. Last year, I made a commitment to learn something new about data science every week for 52 weeks, and I think that was one of the best decisions I’ve ever made. via https://ift.tt/2WFwqDI

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Basics of High-Frequency Trading

High-Frequency Trading is nothing but a subset of Algorithmic Trading. The heart or the core of High-Frequency Trading is a combination of: By the end of this article, we are pretty sure that you will be well-equipped with useful knowledge concerning High-Frequency Trading. via https://ift.tt/3bvujuJ

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HFT-like Trading Algorithm in 300 Lines of Code You Can Run Now

Alpaca provides commission-free stock trading API for individual algo traders and developers, and now almost 1,000 people hang around in our community Slack talking about many different use cases. via https://ift.tt/2GCc1cy

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Probabilistic Programming and the Art of the Possible

In nature and in life, more is not necessarily better. A gentle rain is good for the grass, but if it lasts for five days, you may get a raging flood. Rising temperatures can be pleasant, even optimal, until the heat burns, the droughts sear and the polar ice caps start to melt. via https://ift.tt/2UOsYFK

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5 Ways to Deal with the Lack of Data in Machine Learning

comments By Alexandre Gonfalonieri In many projects I carried out, companies, despite having fantastic AI business ideas, display a tendency to slowly become frustrated when they realize that they do not have enough data… However, solutions do exist! The purpose of this article is to briefly int via https://ift.tt/2IyyfhP

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The secrets of small data: How machine learning finally reached the enterprise

Over the past decade, “big data” has become Silicon Valley’s biggest buzzword. When they’re trained on mind-numbingly large data sets, machine learning (ML) models can develop a deep understanding of a given domain, leading to breakthroughs for top tech companies. via https://ift.tt/2GLpekW

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In-depth analysis of the principle of AlphaGo Zero reinforcement learning algorithm

AlphaGo Zero is the last generation of Deepmind's AI Go algorithm, because it has achieved the ultimate goal of chess game AI: given any game rules, AI can only improve through self-play from zero, and ultimately can surpass any opponent (including top humans). via https://ift.tt/35XXzWX

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What is Quantitative Finance?

Quantitative finance is a relatively new subject which saw its birth at the hands of physicists and other quantitatively trained PHD’s in the early 70’s. Models, concepts, and mathematics have been translated from various disciplines, the major one being physics. via https://ift.tt/2BlMW4j

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Temporal Convolutional Networks, The Next Revolution for Time-Series?

This post reviews the latest innovations of TCN based solutions. We first present a case study of motion detection and briefly review the TCN architecture and its advantages over conventional approaches such as Convolutional Neural Networks (CNN) and Recurrent Neural Network (RNN). via https://ift.tt/2XXYZxh