There has been a lot of interest in artificial intelligence and predictive learning systems - and with good reason. The systems provide a fast, powerful method to handle data analysis
Source: Forbes
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A Bayesian approach would say that the Sentiment Analysis Symposium2017 Sentiment Analysis Symposium will likely resemble prior years' conferences, or we could model year-on-year changes to extrapolate trends and predict future content.
Source: KDnuggets2448
Natural Language Processing NLP Market report provides key statistics and in-depth knowledge available on the market status of the Natural Language Processing NLP Manufacturers and is a valuable supply of guidance and direction for companies and individuals enthusiastic about the Natural Language Processing NLP Industry across the globe.
Source: Satprnews4920
There is more data out there than ever before, but organisations should be smart about how they use it.
Source: Gulfnews3741
Scientists crunching numbers on infant deaths in the US are using data-analysis algorithms to try and find new ways to reduce the number of babies lost to SIDS each year, with Microsoft contributing free cloud hosting and software tools for their work.
Source: The Star2850
Think beyond the nosy neighbour to the corporations that want to utilise minutia of your life to sell products that you may or may not need. Corporations have always been interested in understanding consumer behaviour and been collecting data about users using their products or service.
Source: The Hindu2592
What are the top 5 skills needed to become a data scientist? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: Forbes3933
Facebook has a huge amount of data that is available for you to explore, you can do many things with this data. I will be sharing my experience with you on how you can use the Facebook Graph API for analysis with Python.
Source: KDnuggets4863
Siddhartha Dalal got his introduction to probabilistic analysis in the wake of the 1986 Space Shuttle Challenger disaster.
Source: Siliconangle4128
Javier Minhondo, VP of Technology at Globant, walks us through the practical impacts of artificial intelligence on IT services companies and their clients.
Source: Nearshore Americas1410
Deep learning has been experiencing a true renaissance especially over the last decade, and it uses multi-layered artificial neural networks for automated analysis of data. Deep learning is one of the most exciting forms of machine learning that is behind several recent leapfrog advances in technology including for example real-time speech recognition and translation as well image/video labeling and captioning, among many others. Especially in image analysis, deep learning shows significant promise for automated search and labeling of features of interest, such as abnormal regions in a medical image.
Source: phys.org4155
Today's consumers are overwhelmed by a constant deluge of advertisements and promotions. They are tired of the noise and fatigued by all the product options. They increasingly desire the personalized attention they get from Amazon and Netflix from all the brands they interact with.
Source: Forbes4512
ABSA is the analysis of a given statement, paragraph, or a huge document for getting insight about what the text or document is talking about.
Source: Codementor5169
For your convenience, we have prepared a comprehensive overview of the most important libraries used to perform machine learning and Data Science tasks in Scala.
Source: Kdnugget6537
In today's world of digital commerce, it is common for a transaction to involve in many touchpoints. Many marketers take a convenient shortcut towards the last touchpoint before sale. Businesses need an enterprise-grade technique to quantify each touchpoint's impact on the sale.
Source: HOB3393
Whether you are learning data science for the first time or refreshing your memory or catching up on latest trends, these free books will help you excel through self-study.
Source: Kdnugget20424
We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger. It's a mindset that more is always better like more food, more choice but that's not always the case.
Source: HOB8031
If you are looking to learn python than what could be a better source than taking help from books written by professionals? In order to help you with your search we have created a list of best book for python data science, so that you don't have to wait and based on your requirements you can start your learning process with best books to learn python:
Source: Digital Vidya18303
We take a look at the important things you need to know about sentiment analysis, including social media, classification, evaluation metrics and how to visualise the results.
Source: Kdnugget7380
We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger. It's a mindset that more is always better like more food, more choice but that's not always the case. This is a just similar phenomenon that we must choose the right food in the right amount to keep us healthy, same businesses must be judicious about what data they collect and what variety they have.
Source: HOB3231
Big data and data science are terms no longer restricted to just the techies' vocabularies. In this ever-increasing digital world, these technological advances are critical for businesses to succeed and grow. Big data is estimated to generate a 60% increase in retailers' operating margins on a global scale. European government administrators could save over $149 billion in operational efficiency improvements by leveraging big data.
Source: HOB3765
I followed the latest trend also downloaded the zip archive of my Facebook data, but what I found after analyzing the data is not the thing I was expecting.
Source: HOB5307
In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews and seeing the end results, I thought I will share more on how to prepare for your resume and even the interviews for a data science role.
Source: HOB5934
Nowadays, when presidents want to create policy, they often do it through their power to regulate. The recent move by the Trump government to relax fuel efficiency principles for automobile is one of many recent, high status examples. But central agency cannot just do no matter what they want There are legal rules that have been in place since that require agencies to solicit and consider public input. Sadly, those guidelines have more often than not been stationary in the mid 20th century and have not custom made to the new technical surroundings.
Source: HOB3570
Automated trading algorithms powered by Artificial Intelligence (AI)have powered their way into the financial world faster than the market pundits could have ever predicted. AI-driven investment platforms like Wealth front and Betterment have drawn investors in droves assuring them of safe, reliable returns. Naturally, this has led people to believe that AI is the future of trading.
Source: HOB3492
I participated in Santander Customer Satisfaction challenge, ran on Kaggle for 2 months and got into top 1%. Here, I would be discussing my approach to this problem.
Source: HOB7125
In an organizational or business data analysis, you must Begin with the right question . Questions should be measurable, clear and concise. Design your questions to either qualify or disqualify potential resolution to your specific job or opportunity.
Source: HOB3639
Machine learning is a solution for the problem of elicitation where general rules are learned from specific observed data from the domain.
Source: HOB3600
From Business to Government to Medicine big data is a technological buzz word now a day. Big Data is essentially the collection and analysis of large amount of data. In very broad terms it centers on the collection and analysis of large volumes of data.
Source: HOB2829
Collecting and analyzing data can offer many benefits to online businesses. To take advantage of these benefits, it s important to first understand the types of data available to you as well as the best way to gather it.
Source: HOB2427
Recent advances in processing large amounts of data have generated a plethora of new opportunities to improve individual lives and the welfare of our societies. For example, smart meters monitoring domestic electricity consumption can help save electricity when not at home or suggest the cheapest electricity supplier depending on the consumption pattern.
Source: HOB2724
Growing amount of data available to the organization has led to the development of many analytical tools. As the big data has no significance to the company until and unless it can be converted into valuable insights.
Source: HOB2142
Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.
Source: HOB9678
Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. The data science industry's job market is hot today.
Source: HOB2397
Not everyone who can talk about "entropy loss" has the engineering skills to back it up. And not every hiring manager knows the difference between clickers and coders.
Source: HOB4215
Chatbots are gaining importance day by day. Companies are integrating chatbots to different use cases to streamline the user experience. researchers believe that moving a step ahead, the future chatbots will assist in sentiments analysis of user.
Source: HOB2301
Data science informs entrepreneurs in a way that listening to their gut just can't.
Source: HOB5037
We probably all know that obesity is becoming a big problem in the developed world and just becoming bigger similiarly data analysis is becoming an important part of the businesses growth. Big data is the act of collecting large data sets from traditional and digital sources to identify trends and patterns. It is very necessary to get understand the structured and unstructured data in order to make right decision for the businesses to grow.
Source: HOB2178
Harvard hosts some of the most prestigious programs in the world, especially in business and law. So it was big news in the data science industry when the university announced a new master's program in data science in March 2017
Source: HOB6951
In retail business there is some form of typical competition that has been evolved from an longer period in business .The retail business is to identify the needs of the customers in which the best sales can shine out among the competitors . The response of every business folks is to analyze and make comparison to other businesses in your industry. Find if there is something useful to the customers as well as to your business and the good response is to define your brand and consistently communicate your own Unique Selling Proposition. This blog will gives you the 5 strategic ways through which you were able to beat the competition and also remain in business strong and lucrative.
Source: Roosboard2904
Real-time data and analytics are now entering in the field of HR as well. Big data sets are the collections of both sets of structured and unstructured information. However, the command of big data doesn't lies in its size, but lies in that how organizations make use of the resource. Big data comes from many sources and delivers organizations with deep and meaningful insights into consumer and client characteristics as well as internal enterprise performance.
Source: HOB1530
Numbers don't lie data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies
Source: HOB3543
In our last post, we started using Data Science for Credit Risk Modeling by analyzing loan data from Lending Club.
Source: HOB4161
Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies. Data Science is now know as the sexiest job of the 21st century.
Source: HOB2331
Industries are now leveraging the chatbots in their daily operating functions thus all the activities are performed by bots with minimum efforts and they can be more focused towards another important task in the organisation. The bots gain the popularity and now they are talk of the town.
Source: HOB2790
Machine Learning is changing the way we do things, and it has started becoming main-stream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it is becoming easier for developers to apply it. And, that is through open source frameworks. Yet most would agree that these days the largest fraction of machine learning researchers come from computer science.
Source: HOB864
Data Analysis and data analytics are often treated as interchangeable terms, but they hold slightly different meanings. Data analysis is the overarching Data Analyst practice that encompasses the use of data analytics tools and techniques to achieve business objectives
Source: HOB1374
Interactivity allows you to embed much more information than in a static visualisation by using tooltips, click-events, ability to filter etc.
Source: HOB2937
For any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.
Source: HOB672
In finance, data are (very) noisy, and often non-stationary. 'Signals' cannot be split from 'noise' in any unique way, as a matter of principle. This is very different from, say, image processing, where the level of noise can be controlled, at least in principle.
Source: HOB537
Decision Tree Algorithm is a part of supervised Machine Learning Algorithm. This algorithm is used for solving regression and classification problems just like other algorithms. This algorithm is basically used to predict the value from the passed trained data by applying learning decision rules. This is the most powerful algorithm among all as this algorithm can be easily visualized and understandable by the humans.
Source: HOB933
Python and R are the two most popular programming languages used extensively by Data analysts and Data Scientists. Both the languages are free and open-source and were developed in the 1900s. However, following are some of the reasons which gives Python edge over R that makes it even more popular among the community.
Source: HOB4062
The promise of artificial intelligence (AI) is its ability to be used as a tool to allow us to do things better, faster and (in some cases) cheaper than other existing methods. This is a major reason why AI has made inroads in many industries, including marketing and advertising
Source: HOB129
The challenge of pricing has entered a new era and every industry should learn from what's happening in fashion right now. While competition with Amazon often gets a lot of attention, industry upheaval due to the rise of e-commerce is much broader than that. Retailers need to embrace external market data, in real time, in order to succeed.
Source: HOB579
The ever-improving capabilities of big data platforms increasingly create new opportunities for industries with representatives who want to examine analytics to benefit their companies.
Source: HOB6495
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