word2vec: Skip-gram Skip-gram predicts context words (surrounding words in a window) from a center word. The objective is to maximize P(context∣center). It amazes me how mathematics establishes the relationship between input embedding (center word) and output embeddings (context word). #machinelearningmodel #machinelearningfundamentals

Don't know why I'm not posting my python codes yet but I did this with #Pandas and I literally squealed in excitement when I saw the table output.☺️💃 I'm getting there guys!!!🤭 GitHub: github.com/fayomiEsther82/ML… #Python #artificial_intelligence #machinelearningfundamentals

Introduction to Machine Learning, Part 3 - Supervised Machine Learning #MachineLearningMonday #MachineLearningFundamentals

Introduction to Machine Learning, Part 2 #MachineLearningMonday #MachineLearningFundamentals

Introduction to #MachineLearning, Part 1 🧠 #MachineLearningFundamentals

This course introduces participants to the big data capabilities of Google Cloud. Follow the link: click.linksynergy.com/deepli… #googlecloud #bigdata #takethiscourse #google #machinelearning #machinelearningfundamentals #freeonlinecourses #elearning

Complete Machine Learning Fundamentals in less than 5 minutes Creditzz:- @nagtechcorp @rakeshnchinta Go through the video :-youtu.be/cVyRds9GF0w . . #MachineLearning #learning #machinelearningfundamentals #DataScience #nagai #NewVideo #Python #javascript