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Need someone who knows how to deploy ai ml models and generate APIs. Please comment. Paid opportunity.

founder of Infosys my hero who started his company by selling his wife bangles

Facebook has connected billions, but its data privacy practices have been under fire. Is the trade-off between personal data and free services justifiable, or does it undermine user trust? Let’s discuss the balance between innovation and privacy

In the era where everyone is focusing on AI and SAAS business this is right time to work on ......... Before please understand that you may not earn money by selling food as much you can earn by selling Ingredients which help to make food. Instead of

Should you rent your house or Should you own it? I personally believe that having a fully paid off home to live in is a personal achievement that one can achieve. I have my homes paid off and I’m more than happy with that decision. What do you thin

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

Some people here have opened shops selling sandwiches and making pakoras, considering themselves big startups while trying to give advice to those who are actually bringing innovative technologies to the table. Many of them are inspired by Prafull Bi

Day 11 About Basic Finance and Accounting Concepts Here's Some New Concepts Equity, in finance, represents the ownership value held by shareholders in a company. It is essentially the difference between a company's total assets and its total liabili

I want to post something controversial here. I am a student with so much dreams. I'm just 20, but I have made a lot of debt on my way. I was addicted to gambling. I mean, I was addicted in a way, but I only tried to finish off my debt by gambling fur

Observation: Based on recent analysis of data , I observed that mostly startup founders who have made something big are of 29-35 Age , ( not early 20s ) Although they had previous startups/business experience in early age which made them experienc