Machine Learning

As AI progress, the limits between robots and humans are narrowing. AI challenges us in countless areas and surpassing our ability to complete countless tasks.And today, companies want us to talk to them via AI–their so-called vocal assistants.As if talking to a robot has become normal!Recent years have seen an explosion in so-called conversational AI. The problem is that some … [Read more...] about Nobody wants to talk to an AI

Machine Learning interpretability is an active field of research that involves all the techniques useful to provide more informative predictions. Predictive models have fame to be considered as black-bocks instruments optimized only to maximize the performances. Accuracy is important but, in most business cases, inspect why a machine learning model takes one decision reveals to … [Read more...] about Advanced Permutation Importance to Explain Predictions

3 Tips on how to train machine learning models efficiently when your data is noisy and mislabeled…Photo by Alex Chumak on UnsplashIn this article, I would like to talk about 3 tricks that helped me to efficiently train models and win a silver medal in a kaggle competition where the dataset was mislabeled and contained a significant amount of noise.Rule n° 1 in data science: … [Read more...] about How To Train ML Models With Mislabeled Data

How to quickly set up multi-GPU training for hyperparameter optimisation with PyTorch LightningPhoto by Gustavo Campos on UnsplashProbably most people reading this post has at least once trained an ML model that took a considerable amount of time. This was certainly the case for me when I was fine-tuning RoBERTa for high accuracy text classification. Utilising GPU for training … [Read more...] about PyTorch Lightning and Optuna: Multi-GPU hyperparameter optimisation

Before doing a 4-year degree in AI and Software Engineering, I’d always wonder:”If AI is so good why don’t we use it in our day to day lives?”After a lot of studying and trying my hand in computer vision and my own research, I realised: ML has so many flaws we often overlook.These are problems that need to get solved if we ever want to bring AI into the real world.You can often … [Read more...] about The Dirty Flaws Of AI

The development of Android and iOS has rapidly changed year by year. Both Android and iOS are competing to create the latest and sophisticated operating system which are mobile-friendly, innovative, and helpful for its users. In 2019, smartphones running the Android operating system hold an 87 percent share of the global market, and over the coming years, this is projected to … [Read more...] about 4 Mobile application development trends to follow in 2021

In a world where all manual tasks are being automated, the definition of manual is changing. Machine Learning algorithms can help computers to perform surgeries, playchess, and get smarter and more personal. We are living in an era of constant technological progress, and looking at how computing has advanced over the years, students of Best Engineering Colleges can predict … [Read more...] about The 10 Algorithms Machine Learning Engineers Need to Know | Arya College

一个不错的含有阴谋、毒药和机器学习的老式侦探故事故事以结局开头。《韩非子》是关于战国时代中国嗜血政治的论文汇编，在作者韩非于公元前233年逝世后由后人辑集而成。在第一章中，先介绍韩非这个人。他是个作家，嘲讽的逆势派人，自由政治家和常年内幕人士。他即将在韩郑王的宫廷中讲话。郑的军队已接近席卷中国的边缘，他将以秦始皇的名义统治中国。韩非的论文早已引起了韩郑王的注意。这是韩非获得政府职位的最佳时机。但是，韩郑王太聪明了，并不满足于那种也适用于其他国家的阿谀奉承。取而代之的是，韩非需要当面进行一次演讲，有效并激烈评析秦国为什么没有彻底消灭包括韩在内的其他封建国家。韩非的演讲中无疑是人类修辞史上的最高点之一。他辩称，秦国以前在打败邻国方面的犹豫是一种错误的怜悯，只是延长了本来早点结束的冲突。在过去的一个世纪中，如果秦国更聪明或不轻易妥协于盟国的话，可以有多次机会 … [Read more...] about 分析《战国策》韩三·谓郑王：运用高科技手段解决中国古代谜团

In this tutorial, we’re gonna implement a rudimentary Semantic Search engine using Haystack. we’ll use ElasticSearech and Faiss (Facebook AI Similarity Search) as DocumentStores.Photo by Gozha Net on UnsplashBelow are the segments I’m gonna talk about:Intro to Semantic Search & TerminologiesImplementation nit&gritEnvironment SetupDataset preparationIndexing & … [Read more...] about Leaping into Semantic/Neural Search with ElasticSearch, Faiss using Haystack

By: Sam Koslowsky, Senior Analytic Consultant, Harte Hanks  You have been invited to serve as a juror in a criminal related case. After hearing testimony, the presiding judge offers a summary of the proceeding. “Evaluate the evidence,” he declares. Whether it was an eyewitness account, an affidavit, an image, or a recording, “it is your responsibility” to assess what was heard. … [Read more...] about Weight of Evidence « Machine Learning Times