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INTRODUCTION TO BIG DATA

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 Before we go to introduction to Big Data, you first need to know What is Data? The quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media. Now, let’s learn Big Data definition What is Big Data? Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.Big data is a collection of massive and complex data sets and data volume that include the huge quantities of data, data management capabilities, social media analytics and real-time data. Big data analytics is the process of examining large amounts of data. There exist large amounts of heterogeneous digital data. Big data is about data volume and l
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DATA SECURITY

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  What is Data Security?                     Data security is the process of protecting corporate data and preventing data loss through unauthorized access. This includes protecting your data from attacks that can encrypt or destroy data, as well as attacks that can modify or corrupt your data. Data Security involves putting in place specific controls, standard policies, and procedures to protect data from a range of issues, including: Unauthorized access Accidental loss Destruction                       Data security also ensures data is available to anyone in the organization who has access to it. Some industries require a high level of data security to comply with data protection regulations.Data security can include certain technologies in administrative and logistical controls. It can even incorporate the physical aspect of security to limit access, manipulation, or disclosure of sensitive data. Most organizations, if not all, have some type of data security controls, so
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DATA MINING

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                      Data mining, also known as knowledge discovery in data (KDD), is the process of uncovering patterns and other valuable information from large data sets. Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.The concept of data mining has been with us since long before the digital age. The idea of applying data to knowledge discovery has been around for centuries, starting with manual formulas for statistical modeling and regression analysis.Given the evolution of data warehousing technology and the growth of big data, adoption of data mining techniques has rapidly accelerated over the last couple of decades, assisting companies by transforming their raw data into useful knowledge. Data has become a part of every facet of business and life.                      Companies today can harness data mining applications and machine learning for everythi
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SOCIAL MEDIA ANALYTICS

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                           Social media sites have been with us for more than two decades. The first social media channel was created in 1997 and was called Six Degrees. It allowed users to send messages and post bulletin board pieces. A lot has changed since then – it’s hard to imagine everyday activities without Twitter, Instagram, or Facebook. Social media offers a huge pool of consumers ripe for brand communication. Social is a wonderful place for consumers and brands to connect, as long as they remember one thing: social media may provide your brand’s first and last impression, so both need to be good ones. Many businesses adopt a brand-centric focus when starting out with on their data analytics journey, and that can be dangerous.Social media had also become one of the backbones of marketing. It’s hard to imagine any marketing campaign, even an offline one, without sparking some kind of social media involvement. Social media analytics isn’t about brands. It’s about p
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NATURAL LANGUAGE PROCESSING

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                    Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. It’s at the core of tools we use every day – from translation software, spam filters, and search engines, to grammar correction software, voice assistants, and social media monitoring tools. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.NLP has existed for more than 50 years and has roots in the field of linguistics. It has a variety of real-world applications in a number of fields, including medical research, search engines and business intelligence.     How Does Natural Language Processing Work?                NLP enables computers to understand natural language as humans do. Whether the language is spoken or written, natural language processing uses artificial intelligence to take
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DATA INTERPRETETION

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                       Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions. Data interpretation is the process of reviewing data through some predefined processes which will help assign some meaning to the data and arrive at a relevant conclusion. It involves taking the result of data analysis, making inferences on the relations studied, and using them to conclude. In other words, it's giving meaning to the collected 'CLEANED' raw data.                Therefore, before talking about interpreting data, they need to be analyzed first. What then, is data analysis?   Data analysis is the process of ordering, categorizing, manipulating, and summarizing data to obtain answers to research questions. It is usually the first step taken towards data interpretati
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BASIC OF NEURAL NETWORK

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 Neural networks and deep learning are big topics in Computer Science and in the technology industry, they currently provide the best solutions to many problems in image recognition, speech recognition and natural language processing.The simplest definition of a neural network, more properly referred to as an 'artificial' neural network (ANN), is provided by the inventor of one of the first neurocomputers Dr. Robert Hecht-Nielsen. He defines a neural network as: "...a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs. In "Neural Network Primer: Part I" by Maureen Caudill, AI Expert, Feb. 1989 Or you can also think of Artificial Neural Network as computational model that is inspired by the way biological neural networks in the human brain process information.Neural networks are typically organized in layers. Layers are made up of a
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