Utkal Kumar Dasukc.hashnode.dev·Jul 23, 2024Understanding Linear Regression in Machine LearningRegression in ML is a supervised learning algorithm which computes a relationship between dependent and independent variables. It is most often used to predict an output from multiple possible outputs. (in most of the cases it is a number) There are ...Discuss·40 readsLinear Regression
Ruhi Parveenitcourses0001.hashnode.dev·Jul 20, 2024Machine Learning in Cybersecurity: Detecting and Preventing Threats with AIIn today’s digital age, cybersecurity threats are becoming increasingly sophisticated and frequent. Traditional security measures often struggle to keep up with the evolving nature of these threats. Enter machine learning (ML) and artificial intellig...DiscussMachine Learning course in noida
Shayan Nazarshyra.hashnode.dev·Jul 8, 2024AWS ML Specialty vs. Actual ML Engineer: Understanding the DifferencesPicture credits: TutorialsDojo Machine Learning (ML) is one of the most exciting fields in technology today. From improving healthcare outcomes to revolutionizing industries with predictive analytics, ML is transforming the way we live and work. With...DiscussAWS
Ruhi Parveenitcourses0001.hashnode.dev·Jul 5, 2024Feature Engineering in Machine Learning: Techniques and Best PracticesIt involves creating new features or modifying existing ones to improve the performance of machine learning models. Well-engineered features can make the difference between an average model and a highly accurate one. This guide covers essential techn...DiscussMachine Learning with data science
Ewenjlin Smithmobileappdevelopersindia.hashnode.dev·Jul 2, 2024Integrating Machine Learning Models into Mobile AppsMobile applications are increasingly becoming sophisticated, leveraging cutting-edge technologies to enhance user experience. Among these technologies, Machine Learning (ML) stands out as a transformative force, enabling apps to offer personalized ex...DiscussMobile apps
sanjana shahtechnologytraining.hashnode.dev·Jul 2, 2024Beyond "Explainable AI (XAI): Lifting the Black Box Lid''Artificial intelligence (AI) has become a ubiquitous force, transforming industries and reshaping our world. However, the inner workings of complex AI models, often referred to as "black boxes," can raise concerns about transparency and bias. This la...DiscussArtificial Intelligence
Sean Coughlinblog.seancoughlin.me·Jul 1, 2024Decoding Large Language Models: Unveiling the Secrets of AI PowerhousesIntroduction Artificial Intelligence (AI) has undergone significant advancements, particularly with the development of Large Language Models (LLMs). These models have revolutionized natural language processing (NLP), enabling machines to understand a...DiscussAIAI
Nestor Rojaswww.nestorojas.com·Jun 30, 2024Retrieval Augmented GenerationThis blog post guides you through creating a Jupyter Notebook that utilizes OpenAI's GPT-3.5 model to answer your questions about YouTube videos. Why a Jupyter Notebook? Jupyter Notebooks provide an interactive environment for Python coding, making i...DiscussRAG
Kratika Saraswatkratikasaraswatblogs.hashnode.dev·Jun 27, 2024From Algorithms to Insights: The Journey of Machine Learning in Data ScienceMachine learning is an exciting part of data science that helps us understand and use data in smart ways. Imagine it as a journey where we start with raw data and end up with useful insights. In this blog, we will explore this journey step by step, u...DiscussMachine Learning
sanjana shahtechnologytraining.hashnode.dev·Jun 26, 2024Demystifying the Black Box: Unveiling the Secrets of Deep LearningDeep learning, a subfield of artificial intelligence (AI), has revolutionized numerous fields, from image recognition to natural language processing. But for many, deep learning models remain enigmatic – complex algorithms shrouded in mystery. This b...Discussartificialintelligencecourse
