(testing signal)

Tag: engineering

🧠🧠🧠 The Thousand Brains Theory, A New AI Book You Must Read

Jeff Hawkins is one of my AI heroes. His book On Intelligence, is one of the clearest, most insightful works about the deep relationship between neuroscience and artificial intelligence(AI). The fascinating thing about Jeff is that he is not only a theoretician but a world-class technologist. He was one of the co-founders of Palm Computing and now is doing some groundbreaking AI work at Numenta. Now Jeff is back with a fascinating new book. A Thousand Brains: A New Theory…… Read more...

📝 Guest post: Data Aggregation is Unavoidable! (And Other Big Data Lies)

In TheSequence, we like to experiment with different formats, and today we introduce TheSequence Guest Post. Here we give space to our partners to explain in detail what machine learning (ML) challenges they help deal with. In this post, Molecula’s team talks about:Pre-aggregation strategies are workarounds to deal with data infrastructure limitations.Pre-aggregating data often creates performance problems and may mask insights that could be found with more granular data.Eliminating the…… Read more...

LED Matrix Hourglass Knows Which Way is Up

[Fearless Night]’s slick dual hourglass doesn’t just simulate sand with LEDs, it also emulates the effects of gravity on those simulated particles and offers a few different mode options.

The unit uses an Arduino (with ATMEGA328P) and an MPU-6050 accelerometer breakout board to sense orientation and movement, and the rest is just a matter of software. Both the Arduino and the MPU-6050 board are readily available and not particularly expensive, and the LED matrix displays are…… Read more...

Famous Modern Math Problems: The 196 Lychrel Number Problem

A very simple and relatively new math problem that remains unsolved.Source: https://geekdad.com/2014/04/geekdad-puzzle-lychrel-sequences/In another installment of our series about famous mathematical problems, today I would like to discuss a very simple and relatively new problem that keeps challenging mathematicians. The statement of the problem is somewhat intriguing:Is the number 196 a Lychrel number?There is a simple math operation known as reverse-and-add. Take any natural number of two…… Read more...

Learning Hacks for Online Data Science Classes

4 hacks to help you live that best online learning lifeData science is an exciting career, particularly for people who like to solve problems. Though the approach may be somewhat different from scientist-to-scientist or from team-to-team, generally speaking, data scientists follow a set process, refine questions, gather data, and determine the best possible answer to an analytical or research question. In the business world, these processes are aimed at solving problems faced by companies…

https://pub.towardsai.net/learning-hacks-for-online-data-science-classes-224aa0617048?source=rss—-98111c9905da—4… Read more...

Stratified Sampling

Stratified sampling is a method of obtaining a representative sample from a population that researchers have divided into relatively similar subpopulations (strata). Researchers use stratified sampling to ensure specific subgroups are present in their sample. It also helps them obtain precise estimates of each group’s characteristics. Many surveys use this method to understand differences between subpopulations better. Stratified sampling is also known as stratified random sampling.
The…… Read more...

Why, What, Who is Data Scientist?

Capable of doing analytical and technological skills on the dataPhoto by Myriam Jessier on UnsplashWhy and What is Data Science?We have been talking a lot about many topics related to data science. The ways that lead us to this path but why do we need to become Data scientists and what has led to the recent surge in this field? Why has there been an increased number of employment opportunities in this field? Let’s dig into all these in this blog.Who is a Data scientist? And why is this…

https://pub.towardsai.net/why-what-who-is-data-scientist-a7a9ac98bc96?source=rss—-98111c9905da—4… Read more...

Combining Empathy and AI

Trust in AI must be earned. Ideally, business users or consumers that interact with a model and its output displayed in a dashboard should not need to question its authenticity. Unfortunately, we aren’t there yet, and it’s because there are different components to trust, some we have yet to address. One of these components is empathy. Many individuals  do not fully trust AI due to the lack of  empathy that is instilled into models.  Many are subscribed to the…

https://www.datarobot.com/blog/combining-empathy-and-ai/… Read more...

Low Code Data Science is Not the Same as Automated Machine Learning

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In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Rosaria is the author of 50+ technical publications, including her most recent book “Practicing Data Science: A Collection of Case Studies.” She holds a doctorate degree in bioengineering and has spent more than 25 years working on data science projects for companies in a broad…

https://insidebigdata.com/2021/10/07/low-code-data-science-is-not-the-same-as-automated-machine-learning/… Read more...

Webinar: How to Build Customer-oriented Applications Using Third-party Data

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Available Live Regional Presentations:

Thursday, October 28th

NORTH AMERICA – 11:00AM PT | 2:00PM ET

EMEA – 10:00AM BST | 11:00AM CET

APAC – 11:00AM SGT | 2:00PM AEDT

Organizations across every industry are in need of external data to power deeper engagement with their end users and build customer-centric experiences. By leveraging external data, these organizations can better understand the behaviors and usage patterns of their end users, and…

https://insidebigdata.com/2021/10/07/webinar-how-to-build-customer-oriented-applications-using-third-party-data/… Read more...

🧙🏻‍♂️ Edge#130: The ML Engineering Magic Behind OpenAI Codex

What’s New in AI, a deep dive into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter.

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💥 What’s New in AI: The ML Engineering Magic Behind OpenAI Codex

OpenAI Codex is one of the most impressive deep learning models ever created. Released a few months ago, Codex can generate code based on natural language sentences. The model is proficient in more than a dozen programming languages and can produce code for fairly complex instructions.… Read more...

How to Model Your Marketing Against the Product Lifecycle

The classic lifespan of successful products is a story in four parts:

IntroductionGrowthMaturityDeclineHow this story plays out has a lot to do with the type of product and how it’s improved over time, if at all.

However, the shape of the curve—the length of the arc and the speed of the decline—is also determined by how you market that product at each stage of its life.

In this article, we’ll look at the different stages of the product lifecycle through the…… Read more...

How Much Training Data Do You Require For Machine Learning?

It is a crucial component of machine learning (ML), and having the proper quality and amount of data sets is critical for accurate outcomes. The more training data available for the machine learning algorithm, the better the model will be able to identify different sorts of objects, making it simpler to distinguish them in real-life predictions.However, how will you determine how much training is sufficient for your machine learning? As insufficient data will affect…… Read more...

A Brief History of Data Silos

The original purpose of a data silo was to keep secrets. People have been keeping secrets for a long, long time. Prior to the written word, keeping a secret meant not sharing specific information with anyone else, verbally. And then came the written word. Secrets could be shared accidentally, or even stolen. Life became more complicated, but in some ways, more efficient. Then came mathematics, eventually followed by the computer, which stored
information in the form of data….… Read more...

Cloud Data Security for Today’s Remote Work Environment

October is Cybersecurity Awareness Month! All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online.

Click to learn more about author Matt Shealy.

As organizations continue to adopt remote work, more opportunities are created for both companies and employees. However, the shift to remote work also creates additional challenges for IT teams. By allowing more people access to your networks from a distributed workforce, you are…

https://www.dataversity.net/cloud-data-security-for-todays-remote-work-environment/… Read more...

How Low-Code Analytics Will Democratize Data

Click to learn more about author Dan Robinson.

I’d wager that most people who build websites today know very little HTML. That’s fine – most websites are built via low-code tools that hide code-level details behind GUIs. This lets website builders focus on creating products instead of worrying about CSS formatting. Web design has gone low-code, and other domains seem sure to follow. In fact, Gartner has predicted that low-code platforms will account for 65% of app…

https://www.dataversity.net/how-low-code-analytics-will-democratize-data/… Read more...

Machine Learning

Image by: AuthorIn computer vision, semantic segmentation is one of the most important components for fine-grained inference (CV). To achieve the appropriate precision levels, models must grasp the context of the environment in which they operate. As a result, through pixel accuracy, semantic segmentation supplies them with that insight.Before we dig deep into the topic, let us understand what is semantic segmentation.The goal of semantic segmentation is to group pixels in a meaningful way….

https://pub.towardsai.net/machine-learning-23997460cbc4?source=rss—-98111c9905da—4… Read more...

Ten Time-saving R Hacks

I use these regularly to try to minimize distractions and keep up my production pacePhoto by ThisisEngineering RAEng on UnsplashThe more coding I do, the more sensitive I become to inefficiency. For me, Nirvana is where you can code super quickly without having to do stuff outside your favorite code editor.So I get pretty frustrated when I can’t do what I want using lean, efficient code, or when I have to go into my filesystem or another program to configure something, or anything else that I view as taking up unnecessary time and effort.Here are ten hacks I use regularly to try to minimize distractions and keep up my production pace.… Read more...

The Architecture Behind DeepMind’s Model for Near Real-Time Weather Forecasts

Deep Generative Model of Rain (DGMR) is the newest creation from DeepMind which can predict precipitation in short-term intervals.

Source: https://technohubnewzz.blogspot.com/2021/10/artificial-intelligence-can-forecast-if.html
Read more...

DSC Weekly Digest 05 October 2021

Facebook, Social Media, and Jumping Sharks
The problem, as far as most people could tell, originated with Facebook’s need to upgrade the domain name servers (DNS) after what appeared to be a routine maintenance update. Ordinarily, this process should be pretty straightforward. However, a configuration file was submitted that had the wrong information in it, one that affected the Border Gateway Protocol (BGP) that tells Internet routers where the nameservers for the big boys (.com, .org,…

http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:1071667… Read more...

Efficiently Donating Excess COVID Vaccine Supplies

Exploring logistics optimizations in the context of COVID vaccination donations
by Kaan Karamete, Saif Ahmed, Matt Brown, Kyle Sutton, and Chad Meley

About The Project
We’ve all heard of the Traveling Salesperson Problem, it is one of the most common Graph problems and has numerous implementations. In the practice, however, problems are much more complicated. In the world of logistics, a more realistic setup is typically the Multiple Supply Demand Chain Optimization (MSDO), where there…

http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:1069115… Read more...

Making the Most of Your Resin Printer Investment

To the extent that we think of 3D printers as production machines, we tend to imagine huge banks of FDM machines slowly but surely cranking out parts. These printer farms are a sensible way to turn a slow process into a high-volume operation, but it turns out there’s a way to do the same thing with only one printer — as long as you think small.
This one comes to us by way of [Andrew Sink], who recently showed us a neat trick for adding a dash of color to resin printed parts. As…

https://hackaday.com/2021/10/06/making-the-most-of-your-resin-printer-investment/… Read more...

Here’s Why You Need Python Skills as a Machine Learning Engineer

If you want to learn how to apply Python programming skills in the context of AI applications, the UC San Diego Extension Machine Learning Engineering Bootcamp can help. Read on to find out more about how machine learning engineers use Python, and why the language dominates today’s machine learning landscape.

Sponsored Post.
Python is one of the most popular programming languages used in the field of machine learning. According to Kaggle’s annual survey of machine learning…

https://www.kdnuggets.com/2021/10/bootcamp-python-skills-machine-learning-engineer.html… Read more...