Jenna Murray
Data Science's main aim is to identify trends inside data. In order to Analyze and draw lessons from the results, it utilizes different statistical techniques. A Data Scientist should carefully scrutinize the information from data acquisition, wrangling and pre-processing. Then, from the details, he has the duty to make predictions. To read more visit: https://www.rangtech.com/blog/data-science/what-is-the-purpose-of-data-science
As cloud forensics evolves, a new breed of specialized tools and frameworks is emerging to address the unique challenges posed by cloud environments. These tools are meticulously designed to analyze data in cloud storage, virtual machines, and cloud-based applications. To read the full blog visit: https://www.rangtech.com/blog/cloud/unveiling-the-complex-world-of-cloud-forensics-trends-and-challenges-in-a-data-driven-era
Statistical Analysis Systems is the complete form of SAS. SAS is a versatile language for programming. The language elements are called procedures. The processes perform different things, such as different forms of analysis, functions of data management, and generate various types of output for text-based and graphical presentation. To read more visit: https://www.rangtech.com/blog/data-science/features-of-sas-programming
Python is quickly becoming the language of choice for Data Analysts, and in the next five years the “anaconda’ of programming languages will be the hub in the world of data science. Python is open source and is object-oriented, as it adapts to a wide range of libraries, making it easier for engineers to perform actions. To read more visit: https://www.rangtech.com/blog/data-science/python-language-the-anaconda-in-data-science
Analytics that can constantly use process and analyses real-time streaming data is known as streaming analytics. Various real-time sources can continuously provide data. You are then able to respond quickly while things are still happening. To read more visit: https://www.rangtech.com/blog/data-science/streaming-analysis-rang-technologies
Statisticians provide data analysis tools, apply analytical methods on the data obtained, and provide statisticians and or clinicians with the research overview tables, graphs, and data listing for writing study report. To read more visit: https://www.rangtech.com/blog/data-science/sas-in-healthcare-analytics
SAS can read data from all kinds of databases and obviously it is an excellent data handler or we should say you can be an excellent data handler powered by SAS training. It can pull off parallel computation and process the data on RAM. To read more visit: https://www.rangtech.com/blog/data-science/why-is-learning-sas-so-important-for-data-scientists
Data scientists are big analyzers of data. Their works revolve around gathering and analyzing large sets of structured and unstructured data with the help of computer science, statistics, and mathematics. To read more visit: https://www.rangtech.com/blog/data-science/skill-sets-required-to-be-a-data-scientist
In the event of lateral recruiting, skills become even more relevant. Therefore, certifications in your field are often relevant and adds value. Certification acknowledges integrity, reflects commitment to the profession and leads to job growth. For an analyst in the field of data science/analytics, this is very important. To know more visit: https://www.rangtech.com/blog/data-science/use-of-base-sas-certification
Today, SAS is moving health care analytics to new frontiers, optimizing results across the treatment continuum, from how health care providers assess success to clinical outcomes, and patient safety. Read full blog at: https://www.rangtech.com/blog/data-science/sas-is-gaining-prominence-in-healthcare-1
SAS continues to be a commonly used programming language and a large data and analytics software business remains the SAS Institute that creates, manages and licenses SAS software. To read full blog visit: https://www.rangtech.com/blog/data-science/sas-and-data-analytics-looking-at-next-future-in-data-analytics-industry
Telecom industry, probably, would be one of the highest, data producing industry in today's world. The amount of unstructured data produced and captured by the telecom service providers are humungous. And the size of data will keep increasing with time, as the number of individuals not using the services of telecom industry. to read full blog visit: https://www.rangtech.com/blog/data-science/how-telecom-industry-is-shaping-up-for-the-next-generation-using-data-science
Market segmentation is the process of dividing a broad consumer or business market, normally consisting of existing and potential customers, into sub-groups of consumers (known as segments) based on some type of shared characteristics. To read full blog visit: https://www.rangtech.com/blog/data-science/market-segmentation-techniques-strategies
Random forest classification is one of an ensemble algorithm. It combines lot of decision tree methods. Instead of running the decision tree method once, we will be running multiple methods of decision trees and that will give us a random forest method. To read the full blog visit: https://www.rangtech.com/blog/data-science/random-forest-classification-using-lending-club-data
In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results. To read full article visit: https://www.rangtech.com/blog/data-science/classification-of-amazon-articles-using-nlp-techniques
A multidisciplinary fuse of data inference, algorithm development, and technology to solve analytically complex problems is known as Data science. Data science is eventually about using this data in creative ways to generate business value. To read the full article visit: https://www.rangtech.com/blog/data-science/data-science-all-you-need-to-know
Forecasting is a common technique used in several companies to make predictions for the future. There are multiple methods of forecasting such as time series forecasting, multivariate forecasting, etc. In each of these methods there are techniques such as Moving Average (MA), ARIMA, ARMA, ARCH, GARCH, etc. To read full article visit: https://www.rangtech.com/blog/data-science/key-of-developing-r-code-batch-forecasting
In R, you can accomplish the same task in different ways. This R document explains functions from R package--dplyr and in some places compares those functions with base functions. To read full blog visit: https://www.rangtech.com/blog/data-science/r-package-dplyr-comparison-of-functions
Being a master at Programming is all about the amount of practice and effort you put into it. The market is filled with data analysis tools - each having their own advantages and disadvantages. To read the full blog visit: [https://www.rangtech.com/blog/data-science/you-are-just-3-steps-away-from-becoming-a-successful-data-analyst]
Big data is a term used to describe a collection of unstructured, organized, and semi-structured large amounts of data that have been gathered by many organizations and contain a wide range of information. The Fresh York Stock Exchange (NYSE), for instance, produces around one terabyte of new trade data each year as an example of big data. To read the full blog visit: https://www.rangtech.com/blog/big-data/trending-technologies
The machine learning algorithm is divided into categories, in which Naive Bayes Algorithm falls under the umbrella of supervised machine learning algorithm. It is a classification method built on the Bayes Theorem and predicated on the idea of predictor independence. to read the full blog visit: https://www.rangtech.com/blog/ai-machine-learning/naive-bayes-algorithm
The Metaverse has extended its influence across various domains, encompassing work, gaming, recruitment, and even venturing into the realm of virtual import and export businesses. To read the full blog visit: https://www.rangtech.com/blog/ai-machine-learning/unlocking-the-potential-of-metaverse-for-remote-work
In our increasingly digitized world, we rely heavily on computers for communication, banking, security applications, and more. This dependence makes us vulnerable to malicious attacks, necessitating robust security measures to protect user data from unauthorized access. To read the full article visit: https://www.rangtech.com/blog/ai-machine-learning/machine-learning-and-continuous-authentication-a-shield-against-cyber-threats
Deep learning is also a sub area of Artificial Intelligence which has taken shape since 2006 and deals with neural networks and multi-layer neural networks. To implement all these Artificial Intelligence, Machine learning and deep learning many mathematical concepts. To read full blog visit: https://www.rangtech.com/blog/ai-machine-learning/artificial-intelligence-machine-learning-and-deep-learning
I am presenting the way to write your own functions for algorithms. In this series, I am starting with Gradient descent algorithm. I briefly explain, what is gradient descent. After that, I apply gradient descent algorithm for a linear regression to identify parameters. For illustration, I simulate data for simple linear regression. To read the full blog visit: https://www.rangtech.com/blog/ai-machine-learning/r-and-python-gradient-descent
According to the IaaS model, the cloud provider maintains IT infrastructures, including storage, server, and networking resources, and offers them to subscriber companies via virtual machines that are accessed online. For corporations, IaaS may offer a variety of advantages. To read the full blog visit: https://www.rangtech.com/blog/cloud/revolutionize-your-it-infrastructure-with-rang-technologies-innovative-iaas-solutions
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