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The Universe is about Energy and Information

The Universe is not matter and space, but energy and information.

Energy exists in the form of patterns and propagation of waves in the vacuum that fills space. Energy is the ‘hardware’ of the universe (not matter). Information is the software.

The Universe is not an assembly of bits of inert matter moving passively and randomly in empty space, but a coherent and dynamic Whole. It is configured by an implicit order (David Bohm) that physicists now call “The Field”, or nuether.

Without information, the waves and energy patterns of the Universe would be random and unstructured, like a computer without software.… Read more...

What is a DAO?

A decentralized autonomous organization (DAO), sometimes labeled a decentralized autonomous corporation (DAC), is an organization that is run through rules encoded as computer programs called “smart contracts”, and whose financial transaction record and program rules are maintained on a blockchain database.

Its goals is to code the rules and decision making apparatus of an organisation, eliminating the need of documents and people for its management, and creating a decentralized, controled structure.

DAOs are basically  abstractions used to collaborate, and mechanisms that align economical incentives in the internet through software. DAOs allow humans to collaborate on a large escale for a common objective, and conciliate incentives among individuals that don’t know each other, and without the need for a third trust party.… Read more...

Forecasting with Machine Learning Models

mlforecast makes forecasting with machine learning fast & easyBy Nixtla Team.TL;DR: We introduce mlforecast, an open source framework from Nixtla that makes the use of machine learning models in time series forecasting tasks fast and easy. It allows you to focus on the model and features instead of implementation details. With mlforecast you can make experiments in an esasier way and it has a built-in backtesting functionality to help you find the best performing model.You can use…… Read more...

How to Transform Your Data in Snowflake

Data transformation is the biggest bottleneck in the analytics workflow. The modern approach to data pipelines is ELT, or extract, transform, and load, with data transformation performed in your Snowflake data warehouse. A new breed of “no-/low-code” data transformation tools, such as Datameer, are emerging to allow the wider analytics community to transform data on their own, eliminating analytics bottlenecks.… Read more...

El Universo es energía e información

El Universo no es materia y espacio, sino energía e información. La energía existe en la forma de patrones y propagación de ondas en el vacío que llena el espacio. La energía es el ‘hardware’ del universo (no la materia). La información es el software.

El Universo no es un montaje de bits de materia inerte moviéndose pasiva y aleatoriamente en espacio vacío, sino un Todo coherente y dinámico.Está configurado por un órden implícito (David Bohm) que los físicos llaman ahora “El Campo”, o nuether.

Sin información las ondas y patrones de energía del Universo serían aleatorios y desestructurados, como el funcionamiento de un ordenador sin un software.… Read more...

Five Ways AI Can Help States Solve Their Hardest Problems (Part 2): Mitigate Risk and Fraud

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. As part of the COVID-19 crisis response, the federal government has provided aid to states and localities by designating federal recovery funds. Consequently, the influx of recovery funds is now resulting in increased fraud, waste, and abuse across government—including social…… Read more...

Six warnings You Ignore That Might Put Image Classification Dataset at risk

Deep Learning“Opportunity never knocks twice,” as the saying goes, but in the hands of image annotators, this clear-cut leaflet will assist the data scientists in addressing gaps in the training datasets that were left neglected or disregarded throughout the image cleaning process.The sole obligation of an image annotator working on an image classification assignment is not just to complete the picture labelling task at hand. But also to tell data scientists about the following alarms,…… Read more...

Understanding the Role of Project Managers

Most people think that a Project Manager actually can’t do anything and knows nothing. All this person does is manage other people and the project. In fact, a PM has a lot of specific knowledge in various fields in order to be able to manage the project as a whole. In this article, I’d like to share what skills help them manage project scope, cost, and timeline while maintaining product quality.

The role of a PM on a project
The content of the project, its cost, timing, and quality are…… Read more...

Analyzing the Imperatives in Textual Sentiment Analysis

Sentiment AnalysisSentiment analysis is a technique for determining people’s thoughts, sentiments, and emotions regarding a product or service. It is, in theory, a computational analysis of text-based opinions, feelings, attitudes, perspectives, emotions, and so on. This content can take several forms, including reviews, blogs, news, and comments. The capacity to derive insights from this sort of data is a technique that many companies across the world have adopted. It has a wide range of…… Read more...

Probability Distributions with Python’s SciPy

Intro to Probability Distributions with Python’s SciPyHow to model random processes with distributions and fit them to observational dataNeedle Threads Sewing Thread Eye — Free photo on Pixabay, by Myriams-FotosA tutorial by example on:SciPy’s probability distributions, their properties and methodsan example that models the lifetime of components by fitting a Weibull extreme value distributionan automatized fitter procedure that selects the best among ~60 candidate…… Read more...

AWS Managed Workflows for Apache Airflow vs. Glue

Understand the differences between MWAA and AWS Glue to make an informed choice for orchestration needsPhoto by Martin Adams on UnsplashAWS released Amazon Managed Workflows for Apache Airflow (MWAA) a while ago. Apache Airflow is an open-source job orchestration platform that was built by Airbnb in 2014. Since then, many companies started using it and adopted it for various use cases. It is a workflow orchestration tool that allows users to run jobs sequentially and logically at a…… Read more...

DSC Weekly Digest 19 October 2021

The Art of Model Making
When I was in the seventh grade, our teacher took us on a field trip to see an architect as part of an exploration of careers that seemed to have been in vogue at the time. Like most kids of that age, the idea of being an architect sounded pretty boring as we headed out, as I pictured a big office with people doing “office-y” things, but when we finally got there, I saw something that would affect me profoundly.
The architect was this tall bearded man who, when we…… Read more...

Third Times the Charm?

Time series feature engineering, three waysPhoto by benjamin lehman on UnsplashSurvival analysis is a common problem across many different industries. These include patient survival in medical trials, customer attrition and hardware failure among others. Survival analysis using machine learning is a complex process and beyond the scope of a single blog. However, calculations common to survival analysis models are also useful to other time series applications. Unfortunately, time series…… Read more...

Jigsaw Puzzle AI from A to Z

Assemble arbitrary real-life puzzles using basic AI toolsImage by author (made with “Life under the Arctic ice” by Castorland Puzzle)IntroSince the early days of AI, we’ve seen multiple attempts to handle a jigsaw puzzle problem. However, enthusiasts mainly focus on specific aspects: only square-tile, only non-scanned, monochrome, etc.Here we take a look at the comprehensive approach that handles the problem in its entirety while being very simple. The idea of this work is to…… Read more...

Internet of Things (IoT): Macroeconomic Trends

IoT: Macroeconomic Trends: A new wave of digital transformation in the post-Covid world is expected to fuel the growth of the IoT market. Companies and organisations that initiate early adoption of IoT are more likely to recover quickly from the impact of the pandemic.
Copyright by www.verdict.co.uk
Listed below are the key macroeconomic trends impacting the IoT theme, as identified by GlobalData.
Covid-19
The Covid-19 pandemic has forced businesses to invest more in technology. IoT…… Read more...

Solving the Multiple Knapsack Problem with Google OR tools

A step-by-step walkthrough of using linear programming in Python to solve the Multi-Constrained Multi-Knapsack Problem.Photo by S&B Vonlanthen on UnsplashIntroductionThe knapsack problem is a toy problem used in linear programming for a user to learn how to formulate an equation that will optimally pack a knapsack with items of various weights. Each item usually has an associated value as well. The goal is to optimize the value of the backpack while not exceeding the weight limit of the…… Read more...

How Big Data and Geolocation Solutions Can Help Your Business

The modern age market is decidedly lucrative for businesses and customers alike. However, things are a tad different for businesses on account of the competition in the market. Today businesses are in pursuit of advanced geolocation solutions that can help completely transform the website experience they offer. Though, fortunately, these are now relatively easy to find and use.
As a result, companies are constantly in search of new technologies and ways to help boost their standing in the…… Read more...