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  Text to image AI image  ( article by @wanga aron )  Artificial intelligence (AI) is a branch of computer science that focuses on developing machines that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. The history of AI is a fascinating one, filled with ups and downs, breakthroughs and setbacks, and promises and realities. The idea of artificial intelligence can be traced back to ancient Greek myths, where stories were told about automatons, mechanical devices designed to mimic human beings. However, the modern history of AI can be traced back to the mid-20th century, when researchers began to explore the possibility of creating intelligent machines. One of the earliest pioneers in the field of AI was Alan Turing, a British mathematician and computer scientist who is widely regarded as the father of modern computing. In the 1950s, Turing proposed a test to determine if a machine could be considered...

  Statisticians are the unsung heroes of the data world, responsible for collecting, analyzing, and interpreting data to help inform decisions. Their work is essential to many industries, from healthcare to finance to marketing. Here is a list of the 8 most famous statisticians and their accomplishments. Florence nightngale 1. Florence Nightingale (1820 – 1910): Florence Nightingale was a pioneering statistician. She is credited with introducing the use of graphical representations to display data, which she used to demonstrate the link between sanitation and mortality rates. She also developed a system of collecting and analyzing data to assess the effectiveness of medical care. Her pioneering work in the field of statistics set the stage for the development of modern epidemiological and public health practices. Her contributions to the field of statistics have been recognized by the Royal Statistical Society, who awarded her the first ever honorary fellowship in 1858. Ronald fish...

  WHO ARE OPEN AI THE COMPANY THAT DEVELOPED CHATGPT( article by Wanga Aaron )  Open AI is a non-profit artificial intelligence research organization founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman. Its primary goal is to promote and develop friendly AI in a way that benefits humanity as a whole.   The company was created with the belief that AI has the potential to shape the future in profound ways and that it was important to ensure that AI is developed in a responsible and safe manner. To this end, OpenAI conducts research in various areas of AI, including machine learning, computer vision, natural language processing, and robotics, with the aim of advancing the state of the art in these fields.   In addition to its research activities, OpenAI also releases AI tools and technologies to the public in order to encourage the development of AI applications and to make AI more accessible to people. So...

 SQL EASILY EXPLAINED Many if not all organizations have large amounts of data that need to be securely stored, updated and retrieved easily. Nowadays data is more valuable than oil if analyzed and interpreted properly. Then what is data? in simple terms data are raw facts, example comments on a Facebook post. In the Facebook comment example   the Facebook company must have a database that stores those comments. This brings us to the term database. A database is easily defined as a container (think of a box) that stores data. A database can be relational and no relational. Relational database is the oldest form of a database as it was the first   and currently most commonly used. Storing data in files can lead to redundancy, wastage of time and there is a possibility of having a hard time trying to retrieve files especially when looking for related information. Here is when DBMS come to our aid. What is DBMS? it is an acronym of database management system. DBMS is...

   KNN ALGORITHM K nearest neighbor   is a supervised machine learning algorithm that is non parametric(has no underlying assumptions). KNN is usually used for regression and classification (mostly used for classification) KNN is a lazy algorithm as it uses all the training data inorder   to classify new data points this may   lead to excessive use of computer memory. Although there are many clustering algorithm it is usually better to learn KNN first to provide a  basis for more complex algorithms.  KNN  can lead to overfitting  if a  small value is chosen for k and underfitting if a large value is used for k.  It is usually relevant to select an odd number for the value of k to reduce instances where some points are left out during clustering.  Dataset that has most outliers is usually classified welll if a large k value is chosen.  K is the neighbor to which distance is calculated from training data points to ...