Avdhesh Varshneyavdhesh-blogs.hashnode.dev路11 hours agoNLP Pipeline from Data Acquisition to DeploymentWhat is NLP Pipeline? NLP is a set of steps followed to build an end-to-end NLP software. Pipeline provides the thinking to build any app from a basic level up to advanced or real time used applications. NLP software consists of the following steps...DiscussPipeline
Fatima Jannetmahia.hashnode.dev路12 hours agoML Chapter 8.1 : Deep LearningWelcome to Part 8.1 - Deep Learning! If you're new to this blog, I strongly advise you to read the previous posts because this one is quite advanced. Thank you! Deep Learning is the most exciting and powerful branch of Machine Learning. Deep Learning...Discuss路29 readsMachine Learning (Python)Deep Learning
Fatima Jannetmahia.hashnode.dev路Nov 16, 2024ML Chapter 7: Natural Language ProcessingNatural Language Processing (NLP) involves using machine learning models to work with text and language. The goal of NLP is to teach machines to understand spoken and written words. For example, when you dictate something into your iPhone or Android ...Discuss路1 like路55 readsMachine Learning (Python)nlp
Fatima Jannetmahia.hashnode.dev路Nov 15, 2024ML Chapter 6: Reinforcement LearningWelcome to Part 6 - Reinforcement Learning! Reinforcement Learning is a powerful branch of Machine Learning used to solve problems by deciding actions based on past data. It's also used in AI to train machines for tasks like walking, using rewards an...Discuss路1 likeMachine Learning (Python)Reinforcement Learning
Parasai-powered-personal-assistants.hashnode.dev路Nov 14, 2024Supervised Learning: The Backbone of Modern Machine Learning ModelsIn the era of artificial intelligence and machine learning, supervised learning stands out as a fundamental approach for building powerful and efficient models. Whether it鈥檚 predicting stock prices, diagnosing diseases, or enabling facial recognition...Discuss路1 likeSupervised learning
Mohit Meshrammohitdecoder.hashnode.dev路Nov 13, 2024Day-04 Types of Unsupervised learningUnsupervised learning uses self-learning algorithm. it learns without any labels. Unsupervised machine learning methods there are three types of unsupervised learning tasks Clustering : Clustering is a technique for exploring raw, unlabeled data an...DiscussMLOpsCloud Computing
sujithamypersonalblog.hashnode.dev路Nov 13, 2024What is cross-validation, and why is it important?Cross-validation is essential because it: Provides a more accurate measure of model performance by testing it on multiple subsets of data, which better represents how it will perform on unseen data. Helps identify overfitting or underfitting by rev...DiscussMachine Learning
Aaronmylog.hashnode.dev路Nov 11, 2024Regression Loss Functions All Machine Learners Should Know.When building a regression model, one of the most crucial decisions is choosing an appropriate loss function. This metric guides the optimization process during model training, helping the model learn the underlying patterns in the data. The loss fun...DiscussData Science
Adwaith JayanforMachine Learning Club, NIT Silcharml-club-nits.hashnode.dev路Nov 7, 2024Adversarial Attacks: Manipulating Machine Learning Models馃憢 Introduction Machine learning models in the present day use gigantic amounts of training data to train them. Be it LLMs or NLPs, they have to be constantly trained to tackle real-world problems. These models are so complex that it is difficult for...Discuss路42 readsMachine Learning
David Adenusidavidmide02.hashnode.dev路Nov 5, 2024Decision Trees and Ensemble learningMastering Decision Trees & Ensemble Learning: ML Zoomcamp Week 6 Recap This week鈥檚 ML Zoomcamp was all about Decision Trees and Ensemble Learning, key tools in predictive modeling. Decision Trees- Simple & Intuitive: Easy to interpret and visualize.-...DiscussMachine Learning
