What if you had a corporate asset that was never used? Your first response might be that corporate asset obviously has no value. And you’d probably be right. However, there are costs – acquisition costs, maintenance costs, storage costs, depreciation costs, salvage costs – associated with all assets. So, to incur all of those costs and then not do anything with that asset would be fiduciary negligence at its worse.
Welcome to the world of dark…Continue
Added by Bill Schmarzo on August 23, 2019 at 4:49am — No Comments
In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…Continue
Added by Arjun Raghu on August 23, 2019 at 2:00am — No Comments
Here is our selection of featured articles and technical resources posted since Monday:
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Added by Vincent Granville on August 22, 2019 at 1:00pm — No Comments
Nowadays, most data scientists use either Python or R as their main programming language. That was also my case until I met Julia earlier this year. Julia promises performance comparable to statically typed compiled languages (like C) while keeping the rapid development features of interpreted languages (like Python, R or Matlab). This performance is achieved by just-in-time (JIT) compilation. Instead of interpreting code, Julia compiles code in runtime. While JIT compilation has…Continue
Added by Daniel Moura on August 22, 2019 at 1:00pm — No Comments
Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.
Keras enables us to build and train models efficiently. In the library, layers are connected…Continue
Added by Packt Publishing on August 22, 2019 at 1:30am — No Comments
The use of training, validation and test datasets is common but not easily understood.
In this post, I attempt to clarify this concept. The post is part of my forthcoming book on learning Artificial Intelligence, Machine Learning and Deep Learning based on high school maths. If you want to know more about the book, please follow me on Linkedin Ajit Jaokar
Added by ajit jaokar on August 20, 2019 at 1:58pm — No Comments
By Pranay Agarwal and Betsy Romeri.
“They just don't understand me. I provide them with all the necessary details, all the data and analysis possible, but they don't seem to get it.” These were the comments of a data scientist at one of the largest CPG companies in Brazil as he vented to me over coffee and described how frustrating his last year had been. He definitely was feeling the heat from the business stakeholders. None of the major analytics initiatives that his team…Continue
Added by Betsy Romeri on August 20, 2019 at 5:00am — No Comments
Added by Jesus Ramos on August 19, 2019 at 10:19am — No Comments
We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect.
Over the past decade, Data Science has stretched out into almost every industry. Form industries like Automobiles and Healthcare to Finance as well as the Gaming Sector. It plays a significant part in the government sectors. So here are some instances of the most impactful…Continue
Added by Sudhanshu Ahuja on August 19, 2019 at 3:00am — 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.
Added by Vincent Granville on August 18, 2019 at 10:30am — No Comments
Landing a man on the moon 50 years ago was a true feat of genius, and an outstanding collaboration between many different stakeholders with many differing individual agendas and objectives (not exactly something we’re seeing out of our government leaders today).
BusinessWeek magazine, as always, published an exceptional article titled “Five Management Lessons the Apollo…Continue
Added by Bill Schmarzo on August 18, 2019 at 5:22am — No Comments
Who is Data Scientist?
Added by Lakshmi Narasimhan Santhanam on August 17, 2019 at 7:30pm — No Comments
Bayesian Machine Learning (part - 4)
In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting from…Continue
Added by Ashutosh vyas on August 16, 2019 at 8:34am — No Comments
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning.
Added by Olha Zhydik on August 16, 2019 at 7:00am — No Comments
Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on…Continue
Added by AI on August 16, 2019 at 6:00am — No Comments
Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognize, localize and segment images; they’re now able to effectively translate natural language and answer complex questions. One of the precursors to such massive progress was the introduction of Seq2Seq and…Continue
Added by Olha Zhydik on August 16, 2019 at 5:30am — No Comments
The amount of data generated today is astonishing. Research published by Seagate reports that by 2025, around 175 Zettabytes of data will be generated on an annual base. The colossal sets of collected, analyzed, monitored, and stored data is only…Continue
Added by Sandra Durcevic on August 16, 2019 at 12:30am — No Comments
In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it- Kevin Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our…
Added by Igor Bobriakov on August 15, 2019 at 9:49pm — No Comments
Here is our selection of featured articles and technical contributions posted since Monday:
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Added by Vincent Granville on August 15, 2019 at 9:30am — No Comments
Containerize your Apps with Docker and Kubernetes is an excellent free book from Gabriel N. Schenker
You can download the whole book by registering…Continue
Added by ajit jaokar on August 13, 2019 at 11:12am — No Comments