Even the layman would know that the manufacturing industry is an inherently complicated endeavor, owing to the many, many factors involved. It has been at the center of some intense change and a lot of this can be ascribed to technology. The evolution of technology over the past few decades has empowered the industry with countless tools and resources, allowing companies operating in the space to continue on the path to growth. Unfortunately, there is one technology that seems to be a tad…Continue
Added by Ryan Williamson on September 11, 2020 at 3:40am — No Comments
Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions.
The core objective of data scientists lay in bridging the gap between numbers and actions by using…Continue
Added by Niranjan on September 11, 2020 at 12:30am — No Comments
Machine Learning (ML) models are designed for defined business goals. ML model productionizing refers to hosting, scaling, and running an ML Model on top of relevant datasets. ML models in production also need to be resilient and flexible for future changes and feedback. A recent study by Forrester states that improving customer experience, improving profitability & revenue growth as the key goals organizations plan to achieve specifically using ML initiatives.
Added by Raghavendra Singh on September 10, 2020 at 12:00pm — No Comments
I was asked this question: What is the connection between AI, Cloud-Native and Edge devices?
On first impressions, it sounds like an amalgamation of every conceivable buzzword around - but I think there is a coherent answer which points to a business need.
Added by ajit jaokar on September 10, 2020 at 10:32am — No Comments
Here is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on September 10, 2020 at 9:00am — No Comments
If the prospect of earning a masters degree in data science sounds too daunting (and expensive), then a MicroMasters might be a good fit for you. A MicroMasters is a "mini" masters degree, typically comprised of four courses. The courses are offered at a fraction of the cost of a typical masters program (around a tenth of the cost), so are a great way to wet your feet and see if data science is right for you.
I'm actually enrolled in the MIT MicroMasters program…Continue
Remarketing is how you connect with people who have earlier interacted with your Site or mobile app. Although the word is used interchangeably with retargeting, both denote different plans of action. Retargeting is a sub-discipline of remarketing and is only about serving online or offline ads to potential customers based on cookies.…Continue
Added by Hemant Warudkar on September 7, 2020 at 9:30pm — No Comments
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.
Featured Resources and Technical…Continue
I opened my first stock trading account shortly after I landed my first full-time job in 1987 - the same year as the great stock market crash - also known as Horrible Monday. (I renamed Black Monday in keeping with the times.) I dropped out of university to "find myself." It seemed so easy working at an office-supplies retailer: putting supplies in the stockroom; filling the store shelves with merchandise; and handling the cash register. It all made sense,…Continue
I'm writing to share a book I just published that I think many of you might find interesting or useful.
The book is called "Machine Learning from Scratch." It provides complete derivations of the most common algorithms in ML (OLS, logistic regression, naive Bayes, trees, boosting, neural nets, etc.) both in theory and math. It also demonstrates constructions of each of these methods from scratch in Python using only numpy.
My aim with the…
Added by Daniel Friedman on September 3, 2020 at 1:00pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on September 3, 2020 at 10:00am — No Comments
In the digital age, businesses feel the urge to live up to customer’s expectations for contextual, spontaneous and entertaining experiences while engaging them across touch points. As new digital technologies emerge, contact centers have advanced from boring voice telephony to handy, agentless, self-service solutions to ensure a tailored, omnichannel customer journey.
Going beyond 2020, it is possible to extend digital engagement capabilities to contact…Continue
Added by Sukumar Jena on September 1, 2020 at 9:00pm — No Comments
Harvard Business Review has declared data science as the ‘sexiest profession of the 21st century’, and rightfully so. Keeping in mind, the amount of data being generated each day, the future scope of data science is bright, in fact, very bright. Students of technology, business, economics, mathematics, computer science, and the related subject domains, are all eligible to prepare for a data analyst role.
In the U.S., it is expected that there will exist 2.7 million openings…Continue
Added by Aileen Scott on September 1, 2020 at 7:30pm — No Comments
I like to approach algorithms from the perspective of problem solving. I created this list from a Mc Kinsey document (link below). It’s a good indicative approach. In practice,
Predict housing prices
Added by ajit jaokar on September 1, 2020 at 11:40am — No Comments
My FREE book about Bayesian Networks, Bayesuvius, continues to grow. It currently has 33 chapters. The purpose of this blog post is to announce the release of a new Bayesuvius chapter on Belief Propagation (BP).
Belief Propagation (BP) (aka Message Passing)was first proposed in 1982 by Judea Pearl to simplify the exact evaluation of probability marginals of…Continue
Added by Robert R. Tucci on September 1, 2020 at 10:30am — No Comments
Summary: The annual Burtch Works salary survey with data through April shows that opportunities and salaries are still excellent for both new and experienced data scientists. They also offer some anecdotal observations about the impact of the first few months of COVID on our work and opportunities.Continue
Added by William Vorhies on September 1, 2020 at 8:00am — No Comments
Last week, the UK witnessed chaos over exam results (GCSE and A-levels).
The fiasco also provided a textbook case on how to build a biased algorithm.
Sadly, this will be the shape of things to come.
These decisions were overturned because of the backlash – but many more…Continue
Added by ajit jaokar on August 31, 2020 at 12:00pm — No Comments
When choosing a statistical test, you generally want to go for one of the more well-known ones, like the chi-square goodness of fit test.That's because more people are going to be able to understand your results, and you have the backing of a slew of…Continue
Added by Stephanie Glen on August 31, 2020 at 6:30am — No Comments
Farming is the primary source that brings food to our tables. It is one of the most essential occupations to also supply humans with employment options all over the world. However, traditional farming methods like plowing the fields with the help of livestocks and ancient tools are now being replaced with advanced and latest technologies like…Continue
Added by Sanjeev Verma on August 31, 2020 at 4:00am — No Comments
Artificial intelligence is consuming the world immensely and with time we are pondering ourselves into it knowingly and unknowingly.
From small daily work to running the largest organizations Artificial Intelligence has never failed to play its part. And something that’s more convincing is that the technology has been a saviour as long as we remember. Businesses use AI from improving their sales, inviting…Continue
Added by Alice Wright on August 31, 2020 at 3:30am — No Comments