Peter Merrillpeterm.hashnode.dev·Feb 21, 2024The Anti-Assumption Mindset: Embracing Intellectual Humility in Software EngineeringHave you ever launched a feature with confidence, only to find it leaving users scratching their heads? It's a scenario familiar to many software engineers, regardless of experience. Often, the culprit resides in the shadows: assumptions. These unspo...Discuss·48 readsAssumptions
Krish Parekhkrishparekh.hashnode.dev·Jan 14, 2024Bias Variance TradeoffIntroduction Having a proper understanding of Bias and Variance, is the key to achieve accuracy and robustness for your machine learning model. It helps us address the issue of Overfitting and Underfitting The Basic : Why Worry About Overfitting and ...Palak Varma and 3 others are discussing this4 people are discussing thisDiscuss·25 likes·167 readsMachine Learning
Aviral Srivastavaaviralcodess.hashnode.dev·Dec 24, 2023More Than a Glitch: A Humorous and Thought-Provoking Look at Tech Bias"More Than a Glitch" is a book by Meredith Broussard that explores the role of technology in society, particularly how it can perpetuate social inequalities. The book argues that the idea of technology as a neutral force is a myth and that it's impor...Discuss·6 likes·52 readstechnology
Joshua Ofosujoeokat.hashnode.dev·Sep 29, 2023Unveiling the Bias Challenge in UX DesignLet's talk about something we all have – biases. They're pretty normal, but when you're a UX designer, it's crucial to minimize them during your research. Why? Because this helps you truly understand what your users need. Now, let's break this down. ...DiscussBias
NITHESH KANNA Scrapyai.hashnode.dev·Sep 15, 2023Bias In Machine LearningWhat is Bias? In Machine Learning, Bias occurs when the algorithm or model produces unfair results than the predicted one. This occurs when the dataset is not equally distributed over the population. In simple words, consider a dataset of size 1000, ...Discuss·33 readsMachine Learning
Sodipe Paulthelittleknownblog.hashnode.dev·Jul 31, 2023Bias and Fairness, A Two-Year ReviewArtificial Intelligence (AI) has witnessed tremendous growth in recent years, and with it, the research in AI ethics has expanded in parallel. AI ethics is a broad field that encompasses a wide range of topics, including bias and fairness, transparen...DiscussAI ethics
Krishna Kapoorhashnoob.hashnode.dev·Jul 2, 2023Bias vs Variance: A TradeoffBias The bias-variance tradeoff is a fundamental concept in machine learning and statistics that relates to the performance of predictive models. It represents the tradeoff between the bias(underfitting) and variance(overfitting) of a model. Bias is ...Discuss·1 likeBlogging
SkylerforTimefulhealthyteen.hashnode.dev·Feb 27, 2023Behind the Headlines: Recognizing Bias in NewsIn today's fast-paced media landscape, news stories constantly capture our attention. From headlines on social media to television broadcasts, we are constantly bombarded about events happening worldwide. However, it's essential to understand the ori...Discuss·173 readsnews
Sneh Bhattmytwocents.hashnode.dev·Jan 25, 2023Elephant in the room - ChatGPTThere are so many posts and blogs on ChatGPT these days! But it is still not known to everyone yet. I recently met some people at an event who were completely unaware of what it is. Based on what people were saying, some people thought it might be si...Discuss·133 readschatgpt
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 9, 2023#40 Machine Learning & Data Science Challenge 40The tradeoff between bias and variances, the relationship between them. Whenever we discuss model prediction, it’s important to understand prediction errors (bias and variance). The prediction error for any machine learning algorithm can be broken do...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
