P1 : Library Setup || SMILE || Kotlin скачать в хорошем качестве

P1 : Library Setup || SMILE || Kotlin

SMILE is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system. It covers every aspect of advanced machine learning, watch the full video to get the glimpse Timestamps : 00:00 - Agenda 02:20 - Table of contents 04:26 - What is SMILE 06:43 - Why Use Smile over Python 07:17 - Why people don't talk about it 08:53 - DataFrames 11:32 - Formula 14:49 - How Dataframes and Formulas links? 16:49 - Classification Model 17:14 - download iris dataset 17:41 - Setup the project 18:57 - Code explanation 22:30 - Random Forest algo explanation 28:49 - Conclusion Code : https://gist.github.com/Rohit-554/39a... Project : https://github.com/Rohit-554/Nivi_Ful... Learn with ❤️ , Thanks for dropping by, if this puts a smile don't forget to drop the love by subscribing #Kotlin #MachineLearning #SmileLibrary #Java #DataScience #AI #RandomForest #CodingTutorial #SoftwareEngineering #JVM Kotlin machine learning, Smile library tutorial, Java machine learning, random forest kotlin, smile kotlin tutorial, data science on JVM, kotlin vs python for AI, regression analysis kotlin, k-means clustering kotlin, supervised learning tutorial, unsupervised learning, smile-kotlin, artificial intelligence for java developers, build AI model kotlin, predict user behavior, kotlin data science, software engineering AI, smile 3.0 vs 4.0, random forest algorithm explained, how to use smile library Search Queries & Keywords (Paste at the bottom of description): Machine learning in Kotlin from scratch, Smile library vs Spark MLlib, how to train random forest in Kotlin, predicting user spending with regression, classification vs regression examples, NLP in Kotlin basics, load CSV Smile DataFrame, fix Smile library Java version error, Kotlin data analysis tools, best machine learning library for Java 2024, AI roadmap for backend developers, implementing k-means clustering in Kotlin.