ONLEI Technologies Training

What is Artificial Intelligence? Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. If you ask about artificial intelligence an AI researcher, (s)he would say that, Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. It is  the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans . These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. There are a lot of ongoing discoveries and developments, most of which are divided into four categories: reactive machines, limited memory, theory of mi...

  Data science can help us predict the future and make better, data-driven decisions.  With the use of real-time and predictive analytics, telecom companies can use data collected by their devices to build forecasts and gain insight into what they can do to improve operations .  By leveraging big data in telecom, companies can  analyze real-time data to identify the source of fraudulent transactions and correlate those with historical activity to prevent future counterfeit actions . What is Data Science in Networking ?  Networking  deals with wired as well as wireless networks  whereas Data Science requires expertise in mathematics, statistics and computer science disciplines and uses techniques such as machine learning, data mining, data storing and visualization .  A network is  a collection of different connected objects . These objects present which are called a nodes or vertices. We draw a line to connect different object which are cal...

Big Data can be used for  Supply Analytics, Predictive Maintenance, Proactive EHS, Seismic Analysis, Reservoir Modelling, Drilling Services, and Production management . There are several areas where big data can be used to benefit refining and oil exploration industry: Production Optimization.  Data science is a broad career path that is undergoing developments and thus promises  abundant opportunities in the future . Data science job roles are likely to get more specific, which in turn will lead to specializations in the field .  But it's not just access to data that helps you make smarter decisions, it's the way you analyze it. That's why it's important to understand the four levels of analytics:  descriptive, diagnostic, predictive and prescriptive . Applications of Data Science Healthcare. Healthcare companies are using data science to build sophisticated medical instruments to detect and cure diseases. Gaming. ... Image Recognition. ... Recommendation Sys...

  A data science lifecycle indicates the iterative steps taken to build, deliver and maintain any data science product. All data science projects are not built the same, so their life cycle varies as well. Still, we can picture a general lifecycle that includes some of the most common data science steps. Data Science Lifecycle is a step-by-step demonstration of how machine learning and other analytical methods are used to generate insights and predictions from data to achieve a business goal. The entire process involves several steps like data cleaning, preparation, modelling, model evaluation, etc.  Data Science enables companies to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. Data Science is widely used in various industry domains, including marketing, healthcare, finance, banking, policy work, and more. The data science life cycle Define and understand the problem. A problem cannot be solv...