Jonathan Schooler, professor of psychology at the University of California (Santa Barbara), whose research focuses on consciousness, memory, meta-awareness, mind-wandering, and mindfulness, describes meta-awareness as our ability to take explicit note of the current contents of consciousness. He notes that when we are not focusing on what is happening around us, we generate imaginative thoughts that are unrelated to external circumstances. It is common to experience such imaginative thoughts and experience moments when our minds have wandered away from the situation at hand. Schooler suggests that mind-wandering is indicative of different kinds of attentional fluctuations.

What is meta-cognition and what…

IBM Db2 is a hybrid data management product that provides a large suite of AI-powered features for handling structured and unstructured data on-premises, as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine focused on scalability and flexibility. Thus, database managers and data scientists alike would be enthralled by IBM DB2.

What is Schema?

A schema is a collection of database objects including tables, view, triggers, functions, indexes, which provides a way to use the same natural name for several objects and to prevent ambiguous references to those objects. A schema is associated with a…

One of the paradox moments(blissful and stressful) during a job search phase is having an interview call scheduled with the hiring manager, that too the role you have been eagerly waiting for!! Whether you sail through the whole process or not is another story for another time. Interviewing is a part of art, part of science. The art part requires to bring forth personality, enthusiasm, and interest. The science part? Requires to study the process and the players and then strategize. So how one can put their best foot forward with the hiring manager plays an important role.

When you…

We humans get better with experience and age. Ever wondered how machines get better in the Data Science field? Data Modeling uses machine learning algorithms, in which the machine learns from historical data to develop a model to make a prediction of new data.

Machine Learning models are classified into two categories:

1. Supervised learning method: This method has historical data with labels. Regression and Classification algorithms fall under this category.
2. Unsupervised learning method: No pre-defined labels are assigned to historical data. Clustering algorithms fall under this category.

When function f maps from the input variable X to output variable Y:

…

It was on a traditional festival day, one of the peak times where I usually deeply feel homesick for being away from home, it was further rubbed in by the continuous wishes of family, friends, and relatives to make the feel of ‘missing celebrations’ worst. We school friends (Longtime and Faraway friends) got on a group call to wish each other and we also started talking a bit about how we would celebrate the festival being living in a ‘foreign land’. Moreover, staying away from home country and yet planning to celebrate, is nostalgic and absolute fun. …

Internet Of Things is one of the major progress that has been embraced in the Internet field(Information Technology Applications Group at the National Institute of Industrial Engineering (NITIE), Mumbai, India and Madakam, 2015). The ideas help to interconnect physical objects furnished with detecting, activating, processing control. The irrigation process plays a crucial role in managing water stocks in the agricultural land as the water resources are decreasing day by day. The insufficient supply of water to the Plants will lead to hard respiration procedures, which would result in fading leaves and scattered dry particles in the soil. In this research…

Machine learning can be briefed as learning a function (f) that maps input variables (X) and the following results are given in output variables (Y).

Y = f(x)

The machine learns from the training data to map the target function, but the configuration of the function is unknown. Different algorithms make various conclusions or biases about the function‘s structure, so our task as machine learning practitioners is to test various machine learning algorithms to see which one is effective at modeling the underlying function. Thus machine learning models are parameterized so that their behavior can be tuned for a given…

We all started learning about Database with a formal definition, right!
“ A database is a collection of data that is organized so that it can easily facilitate the storage, retrieval, modification, and deletion of data in conjunction with various data-processing operations.”

But why knowing Database architecture is so crucial?

The architecture in the database focuses on software design, maintenance, and management that handles the actual data underlying the program. The right decisions about design would have a beneficial impact on database efficiency and on the scale-up capability.

Can we dig deep to know about Cassandra Architecture in this article! …