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Image by Kotagauni Srinivas

I started with this question, which I had in my mind - What is the difference between an Algorithm and an AI Algotrithm ? 

A bit of reading and few you tube videos later, I was starting to get a hang of things. Let me tell you, a great way to understand things is to create analogies with something you have an existing knowledge base about. 

 

So, now I imagined algorithms to be like recipes. For every task there is a set of instructions - the set of instructions become more with increased level of complexity and hence more complicated the algorithm. With me so far ?

 So what’s an AI Algorithm? It is a perfectly baked cake that your mother makes during christmas. This involves not just the recipe but years of experience knowing what different paths would lead to get to the best outcome.Also, if there is something missing or some minor mishaps, how to even recover from them. 


So algorithms are recipes and Al algorithms are the perfect Christmas cake and all that comes in between.

Now there are many many many ways to go about making the perfect Christmas cake Lets start with ML algorithm- which are like recipe of on eggless chocolate cookie cake. - the recipe of which is widely structured and easily available ML Algorithms are those recipes which have an extremely structured set which try to exceed or match the level of outcome. It involves 3 phases -  Discovering or finding out information Infering or reading that information Reasoning the information with respect to situation A and B ​ Machine learning involves predictions and analysis based upon the data it has. It learns and and makes adjustments in models rather that programming. Based on the amount and type of data - it varies between supervised and unsupervised learning. Supervised are usual labelled ones and unsupervised data are often not explicit enough in categories. This is similar to a bakery where Cheese cakes are made in various combinations and whenever ther is new cake to be made - lets say “ Strawberry Cheese cake” , there can be two ways to go about it Asking the head chief Looking through the recipe book The head chef is out of town, so you get on a phone call, where he starts mentioning the key details and outline of the recipe. He even sends you some links adn photographs as reference On the other hand, looking into the recipe book you see samples of chocolate, mango and blueberry cheese cakes.You decide to go ahead with one of them with minor tweaks based on your prior experience and ofcourse “strawberry” as a main ingredient. This allows a more inorganic approach to get the desired results ​​ The good part about learning is that keeps evolving your inquizzitiveness. Especially in an era where machines are upgrading to next level, it is impeded that we do our bit too.  My learning is an ongoing journey, I have completed some and lots more remains left. I am planning to keep this journey document, if not for anything else, but  a testimony of inertias, failure and eventual success.

Exploring AI in workflow

In My Current Workflow

Designing for complex technical domains

thriving, not just surviving

Designing for technical domains and data-heavy systems demands more than just simplifying interfaces. It requires designers to evolve their very process, adapt to longer product life cycles, and engage deeply with the realities of the domain.

 

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