Tag: data science

Feed: Featured Blog Posts - Data Science Central. Author: Betsy Romeri. 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 had worked on had really taken off, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jesus Ramos. TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can counter them by following pages, people and content you would normally not follow on FB. Thanks to a famous Vice article from April 2017, everyone, even those not acquainted with technology, has now an idea of how we are basically giving Facebook a map of our preferences, orientations, motivations, and even our psyche, by using it to share our interests, play games, answer quizzes and interact with other people. This data, in turn, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Olha Zhydik. Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognise, localise 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 neural attention models – enabling neural networks to become more selective about the data they’re working with at any given time. One of the precursors to such massive progress was the introduction of Seq2Seq and neural attention models – enabling neural networks ... Read More

Feed: R-bloggers. Author: Matthias Nistler. Like the data hunter he is, my STATWORX colleague Jakob came across a rich data source regarding gas station prices. While his focus has been on checking very common myths about gas prices (check out his blogpost!), he did a fantastic job at cleaning and preparing the raw data to get it in a usable format in the first place. Obviously, I wanted to check whether one can make use of this data and further freely accessible data sources to check gas companies narratives. Let me guide you through my work process! Opening the treasure ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Daniel Moura. 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 been around for sometime now (e.g. Matlab introduced it in 2002), Julia was designed for performance with JIT ... Read More

Feed: R-bloggers. Author: Marcin Kosiński. [This article was first published on http://r-addict.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Why R? pre-meetings are R meetups that support local R groups. They promote Why R? 2019 Conference. The purpose of those meetings is to provide the space for the professional networking and knowledge exchange, between practitioners and students, from the area of statistical machine learning, programming, optimization and data science fields. We managed ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. These free Neo4j training courses introduce you to using Neo4j as part of your Data Science and Machine Learning workflows. You’ll learn how to do this with the help of the aminer.org citation dataset, a dataset that contains papers, authors and citations from DBLP – a computer science bibliography website, and the Yelp public dataset, with data on businesses and user reviews. Why did you create these new training courses? Over the last 12-18 months, we’ve had more and more people ask us how graphs can improve their data science and machine ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Packt Publishing. 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 to one another like pieces of Lego, resulting in a model that is clean and easy to understand. Model training is straightforward requiring only ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. 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 Background Jason Brownlee provides a good explanation on the three-way data splits (training, test and validation) – Training set: A set of examples used for learning, that is ... Read More

Feed: R-bloggers. Author: eoda GmbH. What does a modern analytics platform need to offer companies real added value? Why is the administration of user and role rights a factor not to be underestimated when using analytics platforms? In the previous article, we showed how important an intuitive user interface and an open user group concept are for the company-wide use of data science. Now we are developing the idea further – without intelligent user and role management, this concept simply cannot work. Rights and roles as the first step to new functions! As a rule, platforms for the use of ... Read More