Value of adopting Data Science Skills
Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.
Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…Continue
Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments
By Antonio Gulli, Amita Kapoor
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
In this book, you will learn how to efficiently use TensorFlow, Google's open…Continue
Data Science is one of the fastest growing careers attracting loads of youngsters towards it. With fresh listings almost every day on almost all the reputed job sites, Data Science is the field that is being courted by everyone. So if you are thinking of becoming a data scientist, then you are at the right place to learn more about this most coveted field of big data industry – Data Science. …Continue
Added by Aileen Scott on August 8, 2018 at 11:43pm — No Comments
R Deep Learning Essentials
By Joshua F. Wiley
Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side,…Continue
Added by Packt Publishing on May 15, 2018 at 10:00pm — No Comments
When the first release of Spark became available in 2014, Hadoop had already enjoyed several years of growth since 2009 onwards in the commercial space. Although Hadoop solved a major hurdle in analyzing large terabyte-scale datasets efficiently, using distributed computing methods that were broadly accessible, it still had shortfalls that hindered its wider acceptance.
Limitations of Hadoop
A few of the common…
Added by Packt Publishing on May 3, 2018 at 1:30am — No Comments
Spark VS Hadoop
Spark and Hadoop are two different frameworks, which have similarities and differences. Also, both of them have their unique pros and cons. So, which one is better; Spark or Handoop? There is no exact answer, because, these platforms are different for comparison, and everyone may find some new and useful features in both of them. So let’s start from history of developing of these two.
Added by Azharuddin on February 14, 2018 at 10:30pm — No Comments
The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of data. The demand stemming from the data market has brought Hadoop in the limelight making it one of biggest players in the industry. Hadoop Distributed File System (HDFS), the…Continue
Added by Noah Data on August 22, 2017 at 9:00pm — No Comments
Summary: This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system.
In This Article…
The need for info within the twenty first century continues to intensify—and shows no sign of subsiding. Today’s decision manufacturers would like to be of an incredible volume and style of info, leading more companies to deploy analytics that not solely facilitate them sense and respond to key business problems, but additionally facilitate them build predictions and act based mostly on period of…Continue
Added by Priyanka Jain on May 9, 2016 at 12:30am — No Comments
The Riemann Hypothesis is arguably the most important unsolved problem in mathematics. It falls into an area called Analytic Number Theory which is essentially number theory with complex numbers thrown into the mix. The hypothesis states that all non-trivial zeros of the Reimann Zeta function fall on the critical line. What!?? Ok, sorry. That is not very helpful. Lets just say that there is a critical relationship between this function and our…
The growth of the digital economy has resulted in torrents of data. This problem will only continue because data is the language of technology. As companies continue to increase their reliance on technology, the data they create and their need to analyze it, will also increase.
The growth of data has given rise to a class of problems that we call, for lack of a better term, big data analytics. The common requirements for solving this class of problems, loosely, are:
Added by Radhika Subramanian on December 15, 2015 at 9:30am — No Comments
Please watch my new video on Aster on Hadoop and get a simple demonstration of how easy it is to perform advanced analytics with Hadoop data!
Added by John Thuma on November 4, 2015 at 9:49am — No Comments
This announcement is a very exciting prospect for some but may strike fear into others. In my blog, I will entertain some of the interesting prospects of bringing together these technologies. I also hope to allay some fears as well.
One of the biggest announcements at Teradata Partners 2015 is that Aster will run on Hadoop. Many of our customers have already…Continue
Added by John Thuma on October 19, 2015 at 5:30am — No Comments
Just a week after a report from research firm Gartner Inc. found that investment in Hadoop-based Big Data…Continue
Added by William Vorhies on July 15, 2015 at 7:38am — No Comments
Note: Opinions expressed are solely my own and do not express the views or opinions of my employer.
As a data scientist who has been munging data and building machine learning models in tools like R, Python and other software(s) (open source and proprietary), I had always longed for a world without technical limitations. A world which would allow me to create data structures (data scientists usually call them vectors, matrices or dataframes) of virtually any…Continue
Added by Fawad Alam on May 18, 2015 at 8:30am — No Comments
Hadoop has been the foundation for data programmes since Big Data hit the big time. It has been the launching point for data programmes for almost every company who is serious about their data offerings.
However, as we predicted we are seeing that the rise in in-memory databases has seen the need for companies to adopt frameworks that harness this power effectively.
It was therefore…Continue
With the big 3 Hadoop vendors – Cloudera, …Continue
The top tech companies by market capitalization are IBM, HP , Oracle , Microsoft , Cisco , SAP , EMC , Apple , Amazon and Google
All of the top tech companies are selected based on their current market capitalization with the exception of Yahoo. The year 2014 is not included as part of this analysis.
Data: The source of this data is from the public financial records from SEC.gov
All the sales figures are normalized and reported in USD…Continue
How has the interest in Big Data, Hadoop, Business Intelligence, Analytics and dashboards changed over the years?
One easy way to gauge the interest is to measure how much news is generated for the related term and Google Trends allows you do that very easily.
After plugging all of the above terms in Google…Continue
Added by Nilesh Jethwa on December 2, 2014 at 10:37am — No Comments
Trying to deploy a pervasive analytics strategy for your entire organization, or even a department, is not an easy task. That being said, changing the way people work has never been an easy task, imagine cloud computing 15 years ago. Until the average employee can physically see how this new technology can change their live for the better, there is always friction in adoption because of traditional habits. This friction is why organizations need to make sure they have a well…Continue
Added by TJ Laher on November 25, 2014 at 8:00am — No Comments