Analytics Vidhya
JUNE 12, 2019
Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya.
Dataconomy
JUNE 13, 2019
As a relatively new role, “data guru” is a challenging job specification to draft for. Organisations are seeking highly-skilled and well-educated individuals to fulfil the position but, the truth is, the data scientist an organisation needs is not a guru, but a colleague. Most organisations forget that recruiting the right. The post How to attract and retain the important, but elusive, data scientist appeared first on Dataconomy.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
JUNE 10, 2019
Sustainability is a major concern for many businesses. You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective.
Data Science 101
JUNE 10, 2019
Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Before jumping into a data science career , there are a few questions you should be able to answer: How do you break into the profession? What skills do you need to become a data scientist? Where are the best data science jobs? First, it’s important to understand what data science is.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
JUNE 9, 2019
Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.
DataRobot
JUNE 13, 2019
Whether it’s building a winning March Madness bracket or predicting who will win the Stanley Cup , sports analytics is an ever growing field within AI and machine learning. Moneyball was a major tipping point for the industry and the opportunities are continuing to grow. “Now, more than a decade and a half after the events of Moneyball the world of sports has evolved by leaps.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Victor Zhou
JUNE 10, 2019
Javascript is dynamically typed : it performs type checking at runtime. On the other hand, a statically typed language like C performs type checking at compile time. Allow me to illustrate the difference. Here’s some simple C code: # include <stdio.h> // Adds one to an integer. int addOne ( int x ) { return x + 1 ; } int main ( ) { const char * value = "2" ; printf ( "%d" , addOne ( value ) ) ; // ?
Analytics Vidhya
JUNE 11, 2019
Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js and Python appeared first on Analytics Vidhya.
DataRobot
JUNE 10, 2019
The main objective for many data scientists is to build machine learning models that predict the outcomes on unseen data that weren’t used in the development process. The performance of a model on unseen data is referred to as its ability to generalize and is ultimately how it will be judged. If generalization does not meet expectations, the result will be poor outcomes and possibly a reduction of stakeholder confidence in machine learning.
Smart Data Collective
JUNE 14, 2019
Big data is changing the future of gaming. Dataiku’s Pierre Gutierrez presented a compelling analysis of the role of data analytics in gaming in his piece A Flood Of Gaming Analytics Data With No End In Sight. Some of the ways that data analytics has changed the gaming industry are not noticeable to the average gamer. They don’t directly see the impact, but data is changing the gaming experience in many ways.
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Victor Zhou
JUNE 10, 2019
Javascript is dynamically typed , but tools like Flow allow you to add static type checking to improve the safety of your codebase. No clue what “typing” is, or never heard of Flow? Read my primer on using Flow to static type check your Javascript. While Flow is most commonly used to add types to client-side Javascript, it can also be easily used with Node.js!
DataCentric podcast
JUNE 10, 2019
It's been a newsworthy week in the world of data center. IDC released server numbers that validate what the recent spate of earnings has told us. The market's down from last year, but there are still winners and losers, and you don't want to get caught on the wrong side of that line! Even in the face of an uncertain server market, Dell Technologies released positive earnings.
DataRobot
JUNE 12, 2019
I had the privilege of witnessing the growth in the use of analytics by the Democratic Party in the ‘90s and 2000s.
Smart Data Collective
JUNE 12, 2019
Google is taking privacy more seriously these days. Last year, the Washington Post reported that they adopted some new big data security standards. Some of these standards were put into place to improve Gmail security. However, there are still a lot of measures that Gmail users themselves need to take. Big data is making it easier to keep your Gmail secure , but only if you take the right precautions.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Victor Zhou
JUNE 14, 2019
Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll see how easy it is to build a feedforward neural network and train it to solve a real problem with Keras. This post is intended for complete beginners to Keras but does assume a basic background knowledge of neural networks. My introduction to Neural Networks covers everything you need to know (and more) for this post - read that first if necessary.
Smart Data Collective
JUNE 11, 2019
Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant. Manufacturing innovation has long been an integral piece of our economic success, and it seems that big data allows for great industry gains.
Smart Data Collective
JUNE 10, 2019
If you are a data developer, then you need to invest in learning the right programming languages. There are a ton of languages on the market, but some are more reliable than others. You will have a lot more job security if you invest in the right field. There has been much debate with regards to which is the most suitable programming language a developer should use.
Smart Data Collective
JUNE 12, 2019
Linux programming is a vital skill for data developers. If you are creating applications for big data, you should familiarize yourself with the process of creating Linux device drivers. Here is the process of developing a Linux driver for your big data applications. Basic Linux Driver Development Overview. Are you interested in Linux driver development ?
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Smart Data Collective
JUNE 10, 2019
DevOps is a growing field. It is growing more rapidly as new log analytics solutions are being put into place. Developers need to understand the role of distributed systems and how they further the evolution of DevOps. Distributed systems have come a long way in the last decade. As a result, log data management has become a lot more complex. Systems today can have thousands of servers and each server could be generating log data of its own.
Smart Data Collective
JUNE 10, 2019
Big data has been seamlessly integrated into numerous Microsoft applications over the years. One of the newest applications to take advantage of big data features is Microsoft Dynamics. Microsoft has provided a detailed overview of the way that it uses big data in this application. Anybody using Microsoft Dynamics should embrace the features big data has made available.
Smart Data Collective
JUNE 10, 2019
I was recently at a networking group. One of the attendees was a tax accountant, who said that big data is changing their field in surprising ways. FM Magazine has talked about this trend in detail. Financial professionals need to understand the impact of big data and prepare accordingly. How is Big Data Going to Influence the Financial Industry. FM Magazine breaks down some of the ways that data is changing the profession.
Smart Data Collective
JUNE 12, 2019
Shrewd business owners are using big data to grow organizations in countless ways. Some of the benefits of big data are overlooked by less tech-savvy entrepreneurs. One of the biggest benefits of big data is that it leads to the development of digital business catalogues. Big Data and the Evolution of Digital Business Catalogues. There are many big data applications used to grow your business.
Advertisement
Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Smart Data Collective
JUNE 14, 2019
Video is one of the many technologies that is being shaped by new developments in artificial intelligence. Some of the changes artificial intelligence has brought are spooky, to say the least. However, the vast majority of the changes are going to have wonderful implications for video technologists and society as a whole. Overall, we are excited about the implications of artificial intelligence for video.
Expert insights. Personalized for you.
307 
Let's personalize your content