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.
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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 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.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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.
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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.
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.
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.
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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.
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.
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 ) ) ; // ?
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
JUNE 14, 2019
Big data is changing our lives in many ways. Some of the ways data impacts us are much more subtle than others. One example is with digital calendars. A number of new data algorithms are being used to make digital calendars more effective. Big data is so important for event planning and preparation. A growing number of companies are using big data to plan their events more effectively.
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.
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: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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 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
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 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.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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!
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