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Big Data & Machine Learning in Telecom Market Breaking New Grounds and Touch New Level in upcoming year by

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Reports And Markets is part of the Algoro Research Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Are you mastering your market? Do you know what the market potential is for your product, who the market players are and what the growth forecast is? We offer standard global, regional or country specific market research studies for almost every market you can imagine.


BIS reports on Big Data and machine learning in central banking

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The world is changing and so is the way it is measured. For decades, policymakers and the private sector have relied on data released by official statistical institutions to assess the state of the economy.


Is AI just a fairy tale? Not in these successful use cases

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Even with technology, sometimes we believe in fairy tales. A fairy tale is a story with a "fantastic and magical setting or magical influences within a story." I hadn't thought much about fairy tales recently, until I began reviewing the number of online case studies about artificial intelligence (AI) in companies. In most of these case studies, the bottom line was that an AI solution had been successfully implemented. However, when I reviewed the stories for business outcomes or results, the results weren't there.


East Coast Artificial Intelligence Business Development Lead

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Focus on expanding our business through exploiting data sources and using scientific processes and technologies to uncover and communicate key insights. Focus on unusually complex problems and provide highly innovative solutions for clients. Maintain responsibility for leading client calls, capture efforts, and large proposal efforts. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. We're an EOE that empowers our people--no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic--to fearlessly drive change.


Global Big Data Conference

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Supervised learning is one of the most widely used machine learning approaches. It can be useful for predicting financial results, detecting fraud, recognizing objects in images and evaluating or assessing risk. The aim of supervised learning is to allow machine learning functions to work in such a way that enables the input data to be used to predict the output class for each new data instance for which the classification is not already known. With supervised learning, the input data and output data (also called the class) are known in advance. This allows the model to be trained so that it produces the best predictions of classes for the training data by knowing when the model did and did not make a classification error (Figure 1).


Global Big Data Conference

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Yes, the world is seeing an advancement by virtue of technology. Implementing machine learning has aided in a lot of fields and made remarkable inventions as well. Seeing the progress companies have made because of machine learning (ML) has made almost every company to try its hands on the same and have miserably failed in it. What might have gone wrong here? Experts believe that the strategies implemented by the companies failed to work the way they were pictured to be.


SAP BrandVoice: How Big Data, Predictive Analytics And Machine Learning Changed The Railway Industry

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The ancient Silk Road, once the longest overland trade route, ran over 4,000 miles long. Today nestled in Eurasia's heart along the Silk Road is the national railway company – Kazakhsthan Temir Zholy (KTZ). Though traversing across this historic pathway sounds rather cool, the complex geography and harsh weather conditions propose serious challenges in operating cargo and passenger transportation. KTZ is a crucial part of Kazakhstan – the world's ninth-largest country – and its economy. This railway company knew the importance of having a seamless operating model in order to maintain its current operations, both on and off the track.


2021 Python Data Analysis For Data Science &Machine Learning

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All You Need Is Covered!! What you'll learn Do you want to know the best ways to clean data and derive useful insights from it? Do you want to save time and easily perform Exploratory Data Analysis(EDA)? Then this course is for you!! According to Forbes: "60% of the Data Scientist's or Data Analyst's time is spent in cleaning and organising the data..." In this course, you will not just get to know the industry level strategies but also I will practically demonstrate them for better understanding. This course aims to help beginners, as well as an intermediate data analyst, students, business analyst, data science, and machine learning enthusiasts, master the foundations of confidently working with data in the real world.


Python AI: Why Python is Better for Machine Learning and AI

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Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than every, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand – mostly because of what they can achieve with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three. While there are other technology stacks for AI-based projects, Python has turned out to be the best programming language for AI.


How We'll Conduct Algorithmic Audits in the New Economy - InformationWeek

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Algorithms are the heartbeat of applications, but they may not be perceived as entirely benign by their intended beneficiaries. Most educated people know that an algorithm is simply any stepwise computational procedure. Most computer programs are algorithms of one sort of another. Embedded in operational applications, algorithms make decisions, take actions, and deliver results continuously, reliably, and invisibly. But on the odd occasion that an algorithm stings -- encroaching on customer privacy, refusing them a home loan, or perhaps targeting them with a barrage of objectionable solicitation -- stakeholders' understandable reaction may be to swat back in anger, and possibly with legal action.