The entire successful machine learning model is data driven. Deep learning operations require about 1,500 data point units, including images, documents, and overview, for any machine learning based testing / validation.
How much data is required to develop an Machine Learning based solution
About the Author: Rachita Nayar
Rachita Nayar is a talented technical writer who is well-versed in writing technical content related to AI, ML, blockchain, metaverse, and other cutting-edge technologies. With her passion for technology and knack for clear and concise writing, Rachita plays a crucial role in communicating complex blockchain concepts to a wide range of audiences. Her expertise lies in crafting user-friendly documentation, informative articles, and engaging content that simplifies intricate technical concepts into easily understandable language.
Outside of her professional pursuits, Rachita indulges in her love for baking. When she's not writing, you can often find her experimenting with new recipes in the kitchen, creating delicious treats that delight her friends and family.
With a strong background in technical writing and a deep interest in blockchain technology, Rachita Nayar combines her skills and enthusiasm to deliver informative and engaging content to readers worldwide. Her dedication to clarity, accuracy, and a touch of creativity sets her apart as a technical writer in the dynamic and ever-evolving world of blockchain technology.