INFORMATION HUB

 Natural language processing(NLP) Natural language processing strives to build machines that understand and respond to text or voice data and respond with text or speech of their own in much the same way humans do . Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. NLP combines computational linguistics rule-based modeling of human language with statistical, machine learning, and deep learning models. Together, these technologies enable computers to process human language in the form of text or voice data and to ‘understand’ its full meaning, complete with the speaker or writer’s intent and sentiment. NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly even in real time. T...

  The word ‘Data’ has been in existence for ages now.  In the era of 2.5 Quintillion bytes of data being generated every day, data plays a crucial role in decision making for business operations. But how do you think we can deal with so much data? Well, there are several roles in the industry today that deal with data to gather insights, and one such vital role is of a Data Analyst.  A Data Analyst requires many tools to gather insights from data. This article on the T op 10 Data Analytics Tools will talk about the top tools that every budding Data Analyst to a skilled professional must learn in 2021. In this article, we will cover the following Data Analytics Tools: R and Python   Microsoft Excel Tableau RapidMiner KNIME Power BI Apache Spark QlikView Talend Splunk When trying to find the perfect tool for your data analytics needs, it’s important that you first understand all of the different methods and types of data analysis that these tools might offer....

  Big data is a term that describes  large, hard-to-manage volumes of data  – both structured and unstructured – that inundate businesses on a day-to-day basis. ... Big data can be analyzed for insights that improve decisions and give confidence for making strategic business moves How big data works Big data gives you new insights that open up new opportunities and business models. Getting started involves three key actions: 1.  Integrate Big data brings together data from many disparate sources and applications. Traditional data integration mechanisms, such as extract, transform, and load (ETL) generally aren’t up to the task. It requires new strategies and technologies to analyze big data sets at terabyte, or even petabyte, scale. During integration, you need to bring in the data, process it, and make sure it’s formatted and available in a form that your business analysts can get started with. 2.  Manage Big data requires storage. Your storage solution can be...

  Machine learning (ML ) is  the study of computer algorithms that can improve automatically through experience and by the use of data . ... Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only...

Artificial intelligence (AI) is  the ability of a computer or a robot controlled by a computer to do tasks  that are usually done by humans because they require human intelligence and discernment AI Approaches and Concepts Less than a decade after breaking the Nazi encryption machine Enigma and helping the Allied Forces win World War II, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?"  Turing's paper " Computing Machinery and Intelligence " (1950), and its subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.    At its core, AI is the branch of computer science that aims to answer Turing's question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines. The expansive goal of artificial intelligence  has given rise to many questions and debates. So much so, that no singular definition of the field is universally accepte...

  What Is Data Science? A  groundbreaking study  in 2013 reported 90% of the entirety of the world’s data has been created within the previous two years. Let that sink in. In just two years, we've collected and processed 9x the amount of information than the previous 92,000 years of humankind combined. And it isn’t slowing down. It’s projected  we’ve already created 2.7 zettabytes of data , and by 2020, that number will balloon to an astounding 44 zettabytes. What do we do with all of this data? How do we make it useful to us? What are it's real-world applications? These questions are the domain of data science.        Every company will say they’re doing a form of data science, but what exactly does that mean? The field is growing so rapidly, and revolutionizing so many industries, it's difficult to fence in its capabilities with a formal definition, but generally data science is devoted to the extraction of clean informa...