I recently had the great opportunity to keynote the Analytics Institute of Ireland’s annual conference. The event was marvelous! Over 500 attendees, outstanding presentations from an impressive lineup of presenters, and heavy engagement from the participants before, during and after my keynote.
Lorcan Malone, CEO of…Continue
Added by Bill Schmarzo on November 15, 2018 at 3:30pm — No Comments
Image source: Wikipedia
This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey
The views expressed here are my own
Many professionals want to transition their career to AI.
But most will not
Often, we see a…Continue
Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The data science industry is experiencing an acute …Continue
I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles and journals. I wrote about my learning sabbatical earlier here. Before I go on I want to reiterate few things which have established my way of learning and working. Whenever I want to learn…Continue
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…Continue
Digital Transformation is exploiting digital technologies and data to enhance the firm’s business model. Unfortunately, a Forbes study says that 84% of the Digital Transformation initiatives fail. There are many reasons for this and one important reason is tied to the way businesses inherently operate. Basically, businesses exist to earn profits and driving profits or margins is…Continue
Added by Prashanth Southekal, PhD on November 12, 2018 at 5:30pm — No Comments
1) You can picture yourself being introduced as a data scientist without blushing.
Data science is more than a career, it is a lifestyle that requires committing to be a lifelong learner with all the trade-offs that entails. If the idea of "data science" seems over hyped and hokey then you most likely will not have the drive to…Continue
Added by Phil Hummel on November 12, 2018 at 4:00pm — No Comments
Author: Partha Deka and Rohit Mittal
Today’s trend of Artificial Intelligence (AI) and the increased level of Automation in manufacturing allow firms to flexibly connect assets and improve productivity through data-driven insights that has not been possible before. As more automation is used in manufacturing, the speed of responses required in dealing with maintenance issues is going to get faster and…Continue
Added by Partha Pritam Deka on November 12, 2018 at 12:30pm — No Comments
Added by Packt Publishing on November 12, 2018 at 2:20am — No Comments
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, and many more. To keep receiving these articles, …Continue
Added by Vincent Granville on November 11, 2018 at 9:00am — 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.
Added by Vincent Granville on November 11, 2018 at 6:30am — No Comments
In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development Canvas,” I introduced the Hypothesis Development Canvas as a tool for linking an organization’s data science activities with the organization’s strategic business initiatives (see Figure 1). …Continue
Added by Bill Schmarzo on November 10, 2018 at 1:16pm — No Comments
This article was written by Kate Crawford & Vladan Joler. Below is an extract, featuring the first three sections of this long article (21 sections total.) Link to the full article is provided at the bottom.…Continue
Added by Andrea Manero-Bastin on November 9, 2018 at 7:00pm — No Comments
After detecting a face in an image, as seen in the earlier post ‘Face Detection Application’, we will perform face landmark estimation. Face landmark estimation means identifying key points on a face, such as the tip of the nose and the center of the eye.…Continue
Added by Muhammad Rizwan on November 9, 2018 at 11:19am — No Comments
We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is a need to ensure that the right AI talent comes up and gets to the top to lead…Continue
Added by Ronald van Loon on November 8, 2018 at 9:45pm — No Comments
Many of my MBA students are perplexed about how much data science capabilities and skills they need in order to get hired. It appears that in many job interviews, employers are looking for students who have both business subject matter as well as data science expertise. Here is an example of such a conversation:
MBA Student: I get lots of questions about my data science skills. I don't understand the need for that from me. I will never be as good as a…Continue
Added by Bill Schmarzo on November 8, 2018 at 1:38pm — No Comments
In this 5 Minute Analysis we'll focus on exploring the collection of Kaggle datasets data in real-time, reorganizing it, and filtering the data to find popular datasets with many downloads but very few kernels.
Added by Benjamin Waxer on November 8, 2018 at 9:00am — No Comments
Robotics today is not the same as assembly line Robots of the industrial age because AI is impacting many areas of Robotics.
Specifically, AI is changing Robotics in two key areas
Added by ajit jaokar on November 7, 2018 at 4:32am — No Comments
I have been working with San Diego Water quality data project:
Here are data sets:
Regretfully my complete works do not fit into the blog post (or even a few posts) because of a post…Continue
Added by Maiia Bakhova on November 6, 2018 at 11:46am — No Comments
Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack…Continue