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What is trustable data? Why do you need it?

  • Edwin Walker 

Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.

Robot Stocks Trader

How to Use Algorithmic Trading Bots

  • Rumzz Bajwa 

An algorithmic trading technique is a type of financial transaction that uses pre-designed trading guidelines to perform orders. It is commonly utilized to trade against human brokers. This type of trading utilizes a PC’s computing power and speed to achieve its goals.

Retro vintage typewriter with paper, room for text

DSC Weekly 11 Oct 2022 – Writing for DSC

  • Kurt Cagle 

The DSC Weekly newsletter normally covers trends or practices in the data science and AI field. Still, every couple of months, the editorial team will also write a newsletter issue such as this one specifically for writers. If you write regularly, these may contain new or changing information, while if you aren’t a writer yet, but you’d like to be, this is a good reference to check.

Energy Transition, Renewable Energies

Energy Transitions: We Need To Redefine the Problem and Reframe the Narrative

  • Osama Rizvi 

Climate Change, as an extension or corollary Energy Transitions, is undoubtedly one of the most critical issues that merit urgent and serious attention from policymakers, scientists, and governments across the globe. However, before looking for solutions, it is equally important to define and frame the problem in the most realistic and unbiased way to ensure the holistic nature of the solution(s).

Analysis and sorting financial big data, digital visualization i

AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science

  • ajitjaokar 

The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications – especially in deep learning and image processing.

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