TECHNOLOGY SIMPLIFIED

     REINFORCEMENT  LEARNING What is reinforcement learning ? Reinforcement learning is a machine learning training method based on rewarding desired behaviors and / or punishing undesired ones . In general , a reinforcement learning agent is able to perceive and interpret its environment , take actions and learn through trial and error . How does reinforcement learning work ? In reinforcement learning , developers devise a method of rewarding desired behaviors and punishing negative behaviors . This method assigns positive values to the desired actions to encourage the agent and negative values to undesired behaviors . This programs the agent to seek long-term and maximum overall reward to achieve an optimal solution . These long - term goals help prevent the agent from stalling on lesser goals . With time , the agent learns to avoid the negative and seek the positive . This learning method has been adopted in artificial intelligence ( AI ) as a way...

BIG  DATA  ANALYTICS WHAT IT IS AND WHY IT MATTERS Big data analytics examines large amount of data to uncover hidden patterns  , correlations and other insights . With today’s technology , it’s possible to analyse your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions . History and evolution of big data analytics : The concept of big data has been around for years ; most organizations now understand that if they capture all the data that streams into their businesses , they can apply analytics and get significant value from it . But even in the 1950s , decades before anyone uttered the term “ big data , ” businesses were using basic analytics ( essentially numbers in a spreadsheet that were manually examined ) to uncover insights and trends .  The new benefits that big data analytics brings to the table , however , are speed and efficiency . Whereas a few years ago...

  COMPUTER VISION WHAT IS COMPUTER VISION : Computer vision is a field of Artificial Intelligence (AI) that enables computers and systems to derive meaningful information from digital images , videos and other visual inputs - and take actions or make recommendations based on that information . If AI enables computers to think , computer vision enables them to see , observe and understand . Computer vision works much the same as human vision , except humans have a head start . Human sight has the advantage of lifetimes of context to train how to tell objects apart , how far away they are , whether they are moving and whether there is something wrong in an image . Computer vision trains machines to perform these functions , but it has to do it in much less time with cameras , data and algorithms rather than retinas , optic nerves and a visual cortex . Because a system trained to inspect products or watch a production asset can analyze thousands of products or processes a minute , no...

SPEECH RECOGNITION INTRODUCTION : Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives . The most important is the computer . So , this communication technique can be used between computers and humans . This interaction is done through interfaces , this area called Human Computer Interaction ( HCI ) .  Automatic Speech Recognition ( ASR ) which is an important domain of artificial intelligence and which should be taken into account during any related actions . Speech recognition  , the ability of devices to respond to spoken commands . Speech recognition enables hands - free control of various devices and equipment ( a particular boon to many disabled persons ) , provides input to automatic translation, and creates print - ready dictation . Among the earliest applications for speech recognition were automated telephone syst...