I like this image from the twitter feed of the Paris based Venture Capitalist Michael Jackson
It shows that everyone wants to be an ‘AI start-up’ - but only when it suits them!
So, how exactly do you build (and identify) an AI start-up
I always like to start off with a set of ground…Continue
When you heard “Search by Image”, did you first think of the reverse image search function by search engines such as Baidu and Google? In fact, you can build your own image search system: build your own picture library; select a picture to search in the library…
Added by Kate Shao on June 17, 2020 at 3:00am — No Comments
The next task in your calendar, the ranking position of your favorite sport team in the league, the contact list in your cell phone, all of these have an order. Order matters when we process information. We use order to make sense of our lives and to optimize our…
We’ve written a lot about finding and preparing data lately. But that’s only the beginning when it comes to extracting value from it. When organizations begin flowing external data through their organization, the various issues associated with data sharing start causing problems. Some of these issues include:
Added by Thendup Tsering on June 15, 2020 at 9:30am — No Comments
Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in classification context that includes techniques such as (a) Regularised regression , (b) Logistic regression , (c) Random Forest , (d) Decision tree  and (e) Extreme Gradient Boosting (xgboost) , and finally, (iv) Model explanation (using…Continue
Added by Dayananda U on June 15, 2020 at 5:30am — No Comments
Data Literacy is a hot topic in business today.
As businesses struggle to remain competitive and to do more with less, every enterprise is looking for a way to optimize resources, and to get the most out of every team member. To do that, the business management team must leverage the knowledge and skills of each team member as those skills…Continue
Added by Kartik Patel on June 15, 2020 at 5:00am — No Comments
This article was written by Joyce Xu.
With the rise of autonomous vehicles, smart video surveillance, facial detection and various people counting applications, fast and accurate object detection systems are rising in demand. These systems involve not only recognizing and classifying every object in an…Continue
Added by Andrea Manero-Bastin on June 15, 2020 at 12:00am — No Comments
This article was written by Madhu Sanjeevi (Mady).
In the previous story we talked about Linear Regression for solving regression problems in machine learning, This story we will talk about Logistic Regression for classification problems.
You may be wondering why the name says regression…Continue
Added by Andrea Manero-Bastin on June 14, 2020 at 11:30pm — 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. …Continue
Added by Vincent Granville on June 14, 2020 at 2:00pm — No Comments
This is about how can automation teams leverage this current situation or treat this situation as ray of light for direction.
While this is certainly a tough time for the global and various industries, I believe that we can take benefit out of this different operating model. Business teams can work with their technology and automation teams to leverage this situation and create an optimized team / model for future.
Added by Ranjan Bhasin on June 13, 2020 at 6:00pm — No Comments
Many business process management organizations have deployed and even are working to deploy RPA (Robotics Process Automation) solutions. While a simple business workflow, which includes accessing web portals to be opened along with few decision rules and copying/pasting data, is quite easier and beneficial to automate, majority of teams start experiencing their challenges when the process workflows become fragmented and complex.
Below is the link to a whitepaper which talks about…Continue
Added by Ranjan Bhasin on June 13, 2020 at 5:48pm — No Comments
In this article, I am going to show how to write python code that predicts the price of stock using Machine Learning technique that Long Short-Term Memory (LSTM).
LSTM could not process a single…Continue
June 12, 2020
Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.
Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
Added by Vincent Granville on June 11, 2020 at 12:00pm — No Comments
"Data Scientist" is 2020's equivalent of the rocket scientist of the 1950's: mysterious, sexy, and well-paid. But are you actually a "scientist"? While “data science” isn't fully defined yet as an academic subject (National Academies of Sciences, Engineering, and Medicine, 2018), more and more evidence seems to point to it being more of an art, rather than a science. …Continue
The Internet of Things is a disruptive technology that serves multiple industries and hospitality sector is availing benefits by adopting smart methods. The hotel businesses have moved a step ahead by implementing the IoT solutions to offer privileges and meeting up to the expectations of their consumers.
In this technological era, hospitality or the hotel sector is working more towards enhanced guest experience and earning customer loyalty rather than just profits. Merging IoT and…Continue
Added by Sanjeev Verma on June 10, 2020 at 11:27pm — No Comments
Bullet ripping through Jack of Hearts. High speed photo by MIT's Harold (Doc) Edgerton.
Artist Harry Clarke's 1919 illustration for "A Descent into the Maelström"
We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables…
Added by Robert R. Tucci on June 10, 2020 at 5:00pm — No Comments
Most of us working in business intelligence and data science spend a lot of time creating data models, reports and beautiful dashboards. Even though the models are great and reports look fancy, the true value is in your customers actively using it. How often do you find that nobody is actually running the report?
This hurts, but it also makes sense. People get so much information during a day, they really need to be selective. So any important information should pop out of your report…Continue
Added by Nanne Sluis on June 10, 2020 at 10:00am — No Comments
Machine Learning is a diverse field covering a wide territory and has impacted many verticals. It is able to tackle tasks in language and image processing, anomaly detection, credit scoring sentiment analysis, forecasting alongside dozens of other downstream tasks. A proficient developer, in this line of work; has to be able to draw, borrow, and steal from many adjacent fields such as mathematics, statistics, programming, and most importantly common sense. I for one have drawn tremendous…Continue
From banking & financial services, healthcare & hospital automation services to government sectors and global supply chain, blockchain has been used by several industry verticals. Thanks to innovators who are exploring new ideas so that the technology can also be utilized with the food industry and others in much better ways.
Some of the top tech companies have already started using…Continue
Added by Hemendra Singh on June 10, 2020 at 3:30am — No Comments