Lecture 1.7 | Designing a learning system in machine learning | ML Model #machinelearning #mlt

Artificial intelligence and machine learning is not a one-size-fits-all technology. Every AI project is customized to solve a specific business problem, with machine learning models. These models are rely on data, algorithms and addresses the project’s needs. There are six steps to building an effective machine learning model, from understanding the business problem, to preparing data, to adjusting the model in operation to testing. Steps :- 0:00 : Introduction with example 01:36 : Define the problem 03:02 : Collect and pre-process data 04:28 : Choose an algorithm 05:48 : Train the Model 07:20 : Test the model 08:03 : Deploy the Model After watching, which step is most intimidating? If you still have questions about anything related to the video. Do Let us know in the comments, and hit that like button too. #machinelearning #machinelearningtechniques #artificialintelligence #datascience #aktu #ai #ml Related Videos :- Course introduction :- https://youtu.be/B_s7yHNeEB8 Introduction to Machine Learning :- https://youtu.be/tYJITxcJNAk Types of Machine Learning Algorithms :- https://youtu.be/P-ltAn13FVw supervised learning :- https://youtu.be/3mtvMz9l-w8 Unsupervised Learning :- https://youtu.be/D3tXj96a-_w Re-inforcement Learning :- https://youtu.be/uvMpvNW48NI Well defined learning problems :- https://youtu.be/ZDGfqxlq_l4