The Monty Hall Problem
Covid-19 The Great Reset
They’re so confident in the average persons ignorance/gullibility that the founder of the WEF Klaus Schwab literally released a book…
How I built the ELTEA17 dataset
Sentence-Level One of the main purposes of this dataset is to be used for feeding text classifiers. Two sets of…
New Documentary Reveals How Corrupt And Destructive Green Energies Are: “This Is A Broken System”
The green energy future is not green at all, a stunning new documentary shows how corrupt and destructive it is…
El Cuento de la Pérdida de Empleo y los Robots
La monserga de la pérdida de empleos por la mecanización empezó en los 90. Si (como dicen en los medios)…
How to create products that rely on machine learning
The approach is really just about recognizing which of the product risks mentioned previously that are biggest during which phase,…
The UFOs Carl Sagan Was Convinced Of But Couldn’t Talk About
Sci-fi screenwriter Bryce Zabel recalls a memorable dispute with cosmologist Carl Sagan (1934–1996) in a parking lot forty years ago:…
Adversarial Makeup: Your Contouring Skills Could Defeat Facial Recognition
The attack relies on having a good surrogate of the facial recognition system one wishes to fool. Else, it’s difficult to properly design appropriate natural-look makeup to fool the system.
Sure, AI Could Run the World — Except for Its Fundamental Limits
We are told that not only will AI take our jobs but it will take our bosses’ jobs and their…
La Inteligencia Artificial no es una Amenaza
La tecnología no es responsable de la desaparición de millones de puestos de trabajo. Las políticas económicas, educativas y de salud sí lo son. Son nuestros demonios de siempre los que vienen a por nosotros, no las máquinas.
AI Architects: The New Programmers
…the programmer only specifies a template, which encodes multiple potential algorithms, and the machine learns the optimal algorithms using training data. The template maps to some region in the whole algorithmic space — the space of all possible algorithms.
Overcoming AI bias in predicting startup success
Identifying founders, especially early in their career, with unicorn potential is extremely difficult. Though, there are many examples of attempts to predict the success of a company.
How Quantum Explains Human Consciousness
The mystery of our existence and the fundamental nature of the universe compelled human being time to time to explore the unknown and the truth in many different ways since time immemorial.
Establishing Causality: Part 1
Being able to establish causality is powerful. It gives you the right to use the word “because” in a conversation. Our sales increased because we have changed the website layout. The crime rate dropped because of the new preventive policy that has been introduced.
Messy Data is Beautiful
Data scientists have always been expected to curate data into ‘aha’ moments and tell stories that can reach a wider business audience. But what is the cost of this curation?
The real signal is in the noise
Introduction to Marketing Mix Modeling in Python
To keep a business running, spending money on advertising is crucial. And the number of ad spendings in the industry are enormous.
9 Powerful Ways AI is Transforming Digital Marketing
AI Transforming Digital Marketing: As artificial intelligence has evolved, it has found its way into more aspects of our lives – from social media to digital marketing.
How to use Permutation Tests
A walkthrough of permutation tests and how they can be applied to time series data.
Seven Steps To Help You Reduce Bias in Algorithms in Light of the EU’s Trustworthy AI Blueprint
“Bias doesn’t come from AI algorithms, it comes from humans,” explains Cassie Kozyrkov in her Towards Data Science article, What is Bias?
Data Engineering Technologies 2021
Complete curated list of emerging technologies in Data Engineering:
– Abacus AI, enterprise AI with AutoML, similar space to DataRobot.
– Algorithmia, enterprise MLOps.
– Amundsen, an open-sourced data discovery and metadata engine.
– Anodot, monitors all your data in real-time for lightning-fast detection of incidents…
Multilayer Perceptron Explained with a Real-Life Example and Python Code: Sentiment Analysis
This series of articles focuses on Deep Learning algorithms, which have been getting a lot of attention in the last few years, as many of its applications take center stage in our day-to-day life. From self-driving cars to voice assistants, face recognition or the ability to transcribe speech into text.
These applications are just the tip of the iceberg. A long path of research and incremental applications has been paved since the early 1940’s. The improvements and widespread applications we’re seeing today are the culmination of the hardware and data availability catching up with computational demands of these complex methods.
Features are the New Data
ML Features are the attributes, properties, or data variables that ML models use during training and inference to make predictions.
ML Features are the data variables that are most useful in making predictions that deliver quantifiable financial impact.
How AR and VR are Transforming the Future of Businesses
Augmented and virtual realities are two crucial components for businesses these days. Many business projects are seeing improvement due to AR and VR. Also, there are various training programs available to teach people how to use them. Here, we’ll look at how AR and VR play an essential role in improving businesses.
Researchers: The Universe Simulated Itself Into Existence
A new hypothesis says the universe self-simulates itself in a “strange loop”. A paper from the Quantum Gravity Research institute proposes there is an underlying panconsciousness. The work looks to unify insight from quantum mechanics with a non-materialistic perspective.
How real are you? What if everything you are, everything you know, all the people in your life as well as all the events were not physically there but just a very elaborate simulation? Philosopher Nick Bostrom famously considered this in his seminal paper “Are you living in a computer simulation?,” where he proposed that all of our existence may be just a product of very sophisticated computer simulations ran by advanced beings whose real nature we may never be able to know. Now a new theory has come along that takes it a step further – what if there are no advanced beings either and everything in “reality” is a self-simulation that generates itself from pure thought?
Paul Ratner, “New hypothesis argues the universe simulates itself into existence” at Big Think (April 26, 2020) (A podcast is available.)
Scientists Use AI to Decode How Artists Have Bursts of Creativity – The Swaddle
There’s one truth any artist knows all too well. There’s no formula to creativity. It trickles into the consciousness in mysterious ways; the odd conversation, a stray passage, abstract thoughts snowball into brilliance. What brings about this brilliance, what people also call “hot streaks,” for artists?