Articles

There are certain problems which are straightforward to optimise because the path to the solution is flat and mathematically well behaved. Others are messy. A delivery company might have hundreds of stops to assign to vehicles. A manufacturer may desire the optimum production schedule for several machines. A data scientist can potentially need to explore thousands of potential combinations of features. When problems are of this type, it is often not feasible to check all possible solutions. A genetic algorithm (GA) works in a different way. Rather than taking a single path to an answer, it operates on a set of potential solutions and continually refines those solutions with the help of ideas borrowed from the process of evolution in biology. Start With a Population The algorithm starts with a number of candidate solutions. Suppose a logistics company in India wants to make an efficient route for their delivery vehicle to go to several locations. Each of the possible or...

  The organization will be capable of understanding the data it has received and identifying trends/patterns in the data so that it is able to make better decisions based on the use of data analysis. Many organizations place a high level of emphasis on measurable results (insights); therefore, analysis skills are becoming more and more valuable to organizations. As a result, analysis skills can be applied throughout many different industries, including finance, retail, healthcare, technology, and operations. The curriculum will give students the opportunity to learn both the academic knowledge and skills required to apply analysis skills to their organization’s data. This curriculum should cover the basics of analysis, the software/tools used by professionals in the field, practical hands-on classroom exercises, and strategies for finding employment. Essential Technical Skills This curriculum should teach students how to visualize data, use statistics, write SQL queries, and us...

The education of engineers is an integrated experience of scientific knowledge, technical skills and professional attributes. The selection of the college can have an impact on the quality of education, availability of modern infrastructure and preparation for future jobs. Aspiring students to build careers in btech from private colleges should think beyond the appearance and promotional gimmicks of the college and think about the teaching standards, specializations, practical exposure in a college and the various routes of the students getting into the college. When considered all in all, a balanced view of these factors will help you choose an institution that will match academic needs, personal tastes and budgets.   Learning Paths are defined by specializations Master’s programs are typically offered at engineering colleges, including computer science, electrical engineering, electronics, and civil and mechanical engineering. Often engineering colleges will offer branches ...

AI is moving from a system that simply produces answers to one that can organize tasks, find and then use tools, process information and conduct multi-step workflows. In an AI agents course , students can investigate how to design a language model, connect with various tools, use memory, plan, orchestrate, and evaluate an AI agent, and learn other autonomous and semi-autonomous systems concepts. A structured program has the potential to integrate theory with implementation to enable students to appreciate the methodology involved in designing, testing, deployment and development of intelligent agents.   Understanding AI Agents AI agents are automated programs that understand goals, manipulate data to generate thought, choose actions to pursue goals, and operate to achieve specific results. Unlike simple question/answer applications, agents can be used in sequences of operations, whose intermediate steps and final output depend on the changes in the input. This distinction for...