Machine Learning Education

Software engineering is one of the enhanced widest fields and lots of people chooses it as their profession. For creating software is not an easy task as it contains many processes from making SRS, design, coding, test cases etc. Software testing is undoubtedly is one of the most important process of the software life cycle. The Software Tester task spreads over   to various domains when the organization decides to have itself to an further improved and advanced technology. It is a challenging task for a software tester to choose the best programming language for automation testing. Python is one of the best solution for this problem. It is used widely the high level programming language and features a dynamic type system. Why to Learn Python? Now at present ,IT industry is planning to automate the manual testings and introducing   automation in their software product life cycle. Automation testing is one of the less costly,once created can run again and again with ...

Artificial Intelligence(AI) and Machine Learning (ML) are two very hot and tremendous buzzwords right now which are used often in each and every where.But generally they are not the same thing, but the perception that they are can sometimes lead to some confusion. So there are quite differences between these two words which are thought to be worth writing a piece to explain the difference. Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. So moreover Artificial is something which is made by humanbeings or which we can the nonnatural thing and that of Intelligence means ability to understand or to think. There is a always a misconception that Artificial Intelligence is a system, but it is not a system.AI is implemented in the system .Therefore there are so many definition of AI like  “It is the study of how to train the computers so that computers can do things which at present human can do better.” Therefore It is a intelligence where we want to a...

Blockchain has become a movement now, maybe even a revolution. Blockchain evangelists would make you believe that it is the panacea. Since advancement in the technology of Blockchain has been progressive since 2009, we’ve come a long way even though we are still in the infancy. Along the journey we have rendezvoused with the imperfections Blockchain comes with. There are treacherous passes in any technological revolution. Some people in the blockchain industry have pointed out that blockchain has become overhyped, when, in reality, the technology has limitations and is inappropriate for many digital interactions. But through research and development, success and failure, and trial and error, we've learned the current issues and limitations of blockchains. Complexity Blockchain technology involves an entirely new vocabulary.It has made cryptography more mainstream, but the highly specialized industry is chock-full of jargon. Thankfully, there are several efforts at prov...

Artificial Intelligence(AI) is the simulation of human intelligence by machines. In other words, it is the method of machines demonstrating certain aspects of human intelligence like self- correction and   learning and reasoning. Of   its inception, AI has demonstrated unprecedented growth. Sophia the AI Robot, is the quintessential example of this. The future of Artificial intelligence is hazy. But by   going the bounds of progress, AI is being making, it is clear that AI will permeate every sphere of your life. Listed below are the diverse ways in which AI can change in the future. Cyber Security The future application of AI in cyber security is to ensure in curbing hackers. The one of   incidence of cybercrime is an issue that has been escalating through out the years. It costs enterprises in term of brand image as well as material cost. Credit card fraud is one of the most prevalent cybercrimes. Despite there are many detection techniques, they still pro...

FOUNDATION OF MACHINE LEARNING Machine learning is the technique of innovations like facial recognition, self-driving cars, predictive results in search, etc. It plays a significant role in developing new algorithms with software applications. Machine learning is simply making computers to perform a task without being explicitly programmed in it. It enables the software applications to run its sequential task in an intelligent way without being programmed followed by any logics or algorithm. Machine learning brings together computer science and statistics to harness that predictive power that will teach you the end-to-end process of investigating data through a machine learning lens. It is a skill based for aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions which will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learn...