Getting Your Personal Big Data From Facebook
This is a quick guide on how to download a copy of the personal data that Facebook holds on you. It will make interesting reading, enjoy…
Significance of Predictive Data Analytics in Banking
Banking industries are rich with data. Used or unused, there is an excess amount of data in these sectors. Most banks are under pressure to stay profitable and simultaneously understand the needs, wants and preferences of the customers. Lately, many financial institutions have adopted new models that help them to compete. Banks need to go beyond their standard business reporting and sales forecasting to be able to identify a set of crucial factors relating to success.
Freelance Data Scientist
Freelancing is in every field of journalism to technology. Though freelancing in the technology field is at an early stage, soon it will boom the market. To begin with, what is freelancing and how it is relevant to Data Scientist job? In simple terms, a freelancer is a person who can contribute to a company without being a part of it.
Insights of Big Data and Artificial Intelligence
The Big Data vs. AI compare and contrast it, in fact, a comparison of two very closely related data technologies. Is Big Data vs. artificial intelligence even a fair comparison? To some degree it is, but first let's cut through the confusion.
The Lifestyle of a Data Scientist
Intuitively, it seems that, with the advantage and insight that Data Science provides, Data Scientists should have been around for much longer, helping us make decisions? This question can be answered in one word. Data. Data is the bread and butter of a Data Scientist. A Data Scientist sleeps, breathes and eats data. Let's have a look at the lifestyle of a data scientist
The IoT Smart Cities and Connectives
In continuation of my earlier whitepaper The IoT and Smart Cities, here i am presenting the available connection options for the IoT and Smart Cities. Network connectivity may either make or break a smart city solution, i.e., a very wise and intelligent choice has to be made in order to come up with a long-lasting sustainable solution.
Text Mining and Challenges
A potentially useful intellectual tool for researchers is the ability to make connections between seemingly unrelated facts, and as a consequence create inspired new ideas, approaches or hypotheses for their current work. This can be achieved through a process known as text mining (or data mining if it focuses on non-bibliographic datasets).
Big Data Analytics and Predicting Election Results
The best way to predict the future is to study past behavior. This is the underlying idea behind Big Data Analytics. The 2008 Obama election campaign was one of the first to take advantage of data-driven methods in the race to an elected office. The Obama campaign had a data analytics team of 100 people. This shows how deeply data analytics impacts the world.
Architecture of Data Lake
Data can be traced from various consumer sources. Managing data is one of the most serious challenges faced by organizations today. Organizations are adopting the data lake models because lakes provide raw data that users can use for data experimentation and advanced analytics. A data lake could be a merging point of new and historic data, thereby drawing correlations across all data using advanced analytics. A data lake can support the self-service data practices.
Big Data Storage and Data Virtualization
The major objective of this paper is to present Big Data Storage techniques and Data Virtualization. The Data virtualization servers have focused on making big data processing easy. They can hide the complex and technical interfaces of big data storage technologies, such as Hadoop and NoSQL, and they can present big data as if it is stored in traditional SQL systems.
Big Data: The next frontier for advance, competition, and efficiency
Nowadays organizations are starting to realize the importance of using more data in order to support decision for their strategies. The size of data in world is growing day by day. Data is growing because of vast use of internet, smart phone and social network. Big data is a collection of data sets which is very large in size as well as complex. Generally size of the data is Petabyte and Exabyte. Traditional database systems are not able to capture, store and analyze this large amount of data. As the internet is growing, amount of big data continue to grow. Big data analytics provide new ways for businesses and government to analyze unstructured data. Nowadays, Big data is one of the most talked topic in IT industry. It is going to play important role in future. Big data changes the way that data is managed and used. Some of the applications are in areas such as healthcare, defense, traffic management, banking, agriculture, retail, education and so on. Organizations are becoming more flexible and more open. New types of data will give new challenges as well.
Nonparametric Statistical Test Approaches in Genetics Data
The biggest challenge of genetic research lies in significant and intellectual analysis of the large and complex data sets generated by the cutting edge techniques like massively parallel DNA sequencing and genome wide analysis. Statistical analyses are the most important of such experimental data. When the data are not normally distributed and using non numerical (rank, categorical) data then use the nonparametric test for exact result of research hypothesis. Order statistics are among the most fundamental tools in non-parametric statistics and inference. Non parametric test does not depend upon parameters of the population from which the samples are drawn, no strict assumption about the distribution of the population. Nonparametric tests are known as distribution free test also because their assumptions are less and weaker than those connected with parametric test. Nonparametric test does not follow probability distribution. To analyze microarrays and genomics data several non-parametric statistical techniques are used like Wilcoxon’s signed rank test (pre-post group),Mann-Whitney U test (two groups) or Kruskal-Wallis test (two or more groups).Importance of this paper is to look at the non-parametric test how to use in genetic research and provide the understanding of these test
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I have written this article to bring the focus on freelancing in Data Science as well as the importance of Data Science Foundation for it's facilitation for the Data Scientists......Request you all to share your valueable suggestions for this article....READ MORE
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A fun article on what the people who eat and breath data get up to on a day to day basis. Thanks for sharingREAD MORE
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This article in the Harvard Business Review is worth reading. It suggests that the drive to create efficient data science teams by employing specialists e.g. researchers, data engineers, machine learning experts, inference scientists etc. is the wrong approach. By narrowing the scope of the individual and creating efficiencies, you are removing the opportunity to learn and develop new capabilities.https://hbr.org/2019/03/why-data-science-teams-need-generalists-not-specialistsREAD MORE
“New Square Method” Two-Dimensional Nonlinear data Regression ExampleREAD MORE
Labor will build an artificial intelligence centre of excellence to help prevent more "robodebt" disasters happening in government and business.READ MORE
Collecting image scans of tumours from patients with lung cancer and running them through advanced artificial intelligence (AI) models returns improved predictions of predicted patient response and survival outcomes than standard clinical checks, a study has found.READ MORE
Walmart wants store workers to help out customers instead of mopping up floors and unloading boxes in backrooms. So it's increasingly turning to robots to fill those tasks.READ MORE
Artificial intelligence, fuelled by a harvest of large quantities of data, gives bosses the means to monitor in detail how staff are using their time and when they are wasting their timeREAD MORE
With only four weeks until the AI & Big Data Expo Global is set to take place at the Olympia in London, more speakers have been announced to the ever-growing line-up.READ MORE
It's only a matter of time until Artificial Intelligence is a decision maker in every workplace. With the development of AI, computer systems can complete or augment tasks that would require human intelligence — at a much larger scale than we could on our own — in fields that include speech recognition, visual perception and decision-making.READ MORE
Professional services firm EY has launched a global data science competition for university students, with those in China, Hong Kong, Indonesia and Singapore invited to take part.READ MORE
As the need for specialised expertise increases in the role of extracting knowledge and insights from data, have we seen the end of the generalist data scientist?READ MORE
In a field as complex and promising as data science, why go it alone when you can collaborate with a top UK university which houses the Jean Golding Institute (JGI) for Data Science and Data Intensive Research?READ MORE
Tim Berners-Lee has marked the 30th anniversary of submitting his proposal for the world wide web with a BBC interview in which he warns of "nastiness and misinformation spreading."READ MORE
But the goal of data science is not to execute. Rather, the goal is to learn and develop profound new business capabilities.READ MORE
China, Russia, and the United States are approaching the long-term strategic potential of artificial intelligence very differently. The country that gets it right will reap huge military benefits.READ MORE
A full 40 per cent of tech companies describing themselves as "AI startups" had no evidence of any machine-learning tech "material" to what the firms actually did, a report by VC investor MMC VenturesREAD MORE
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