Machine learning is typically a program that takes inputs runs them through a various layers of neurons each of which run simple functions to assess them, finds patterns in them and finally provide an output. The process is repeated to train the machine for optimization because the machine didn't know right from the wrong, providing as much context as possible just to improve the machine's ability to be accurate with its learning.
How AI and Deep Learning helps
Education is another industry with huge volumes of data with patterns that couldn't be identified too easily by human intelligence. AI is being employed to use data of grades of thousands of students across schools and over years to optimize curriculum, predict remedial steps for every individual and even improve the methods of teaching.AI can potentially predict the journey of a student and suggest an academic journey that would best cater to their interests and strengths.
This is probably the industry with the largest amount of data for the longest time and the use of analytics has been crucial in predicting weather trends for decades. Now with the emergence of AI, these techniques have become significantly superior as government and private companies alike are using deep learning algorithms to better process the massive amounts of data collected by the thousands of weather satellites every minute to generate better predictions for much longer windows into the future.
We are likely to see a day where we know exactly when and where a natural disaster is going to happen years in advance, thus allowing for zero causalities and minimal infrastructure damage. This kind of prediction is invaluable to many other aspects of city planning and anthropology.
The day of guessing which segment is likely to buy a product to shift marketing budgets are on their way out with AI driven analytics being able to accurately predict probabilities to buy at an individual level. It's the end of generalisation and the advent of personalisation as companies like are able to make recommendations to each individual based on behavior, time of day, day of month, the weather and other factors in real time.
Deep Learning is thus becoming a key to reducing high marketing spends, high operation costs, customer attrition, business leakages and improve inventory management, customer engagement, conversions, retention, loyalty, increase ROI and even garner cultural progress.
The world of healthcare is full of data, huge volumes of readings across numerous specialisations from research and field work from being able to make more accurate diagnosis for otherwise difficult conditions at the earliest of stages, to enabling wearable tech to predict when a person is likely to need medical attention based on their real-time metrics, AI is turning out to be a savior in this very important industry with its growing ability to anticipate many aspects of the healthcare both at an industry and personal level.
AI and Deep Learning is an exciting step towards pushing the world to the next level of progress, Machine Learning is probably going to be that critical step in this age of tech that will overhaul all other industries and technologies to become highly optimized. And whether it's really looking into the future or just exercising the extents of computation on big data, the end result seems just as promising.