Machine Learning

Artificial intelligence (AI) is an immensely helpful tool for businesses and consumers alike. By processing data quickly and predicting analytics, AI can do everything from automating systems to protecting information.In fact, keeping data secure is a significant part of what AI does in the modern world, though some hackers use technology for their own means.The more we use … [Read more...] about 5 Ways artificial intelligence Is Being Used to Keep Sensitive Information Secure

While we’re all focusing on getting out of the pandemic right now, we ignore one of the biggest threats to mankind. One not violating our physiological security, but our mental and emotional kind.Surveillance capitalism, or as I would like to simplify it, Digital Break & Enter, is simply a billionaire and his allies trying to sell your data to his other billionaire pals as … [Read more...] about The Surveillance Capitalism Giant

A machine learning project applying natural language processing to Reddit data.Photo by AbsolutVision on UnsplashEthics is an important facet of civilization, and a community’s ability to discern between ethical and unethical behavior is critical for a healthy society. In any business, school, or community, ethical communication and behavior is of high importance. For many … [Read more...] about Is your advice unethical?

Why web scrape?That’s may seem like a silly question, though we have many uses for web scraping, so I will break down by item:1) Company or personal interests.2) ML3) BICompany: This first item is obvious too generic, but lets make an imagination exercise. What if every company had the power to scrape properly tons of data from internet, for example: An e-commerce company know … [Read more...] about Introduction(for beginners): Web Scraping for machine learning/BI — Pt: 1

宅經濟當道!電商平台上雲成轉型趨勢現代人因平常生活忙碌，上網購物已成為日常生活的一部份，這時電商平台的速度以及穩定度就成為顧客未來是否會再回購的成敗關鍵。每當遇到電商平台特殊促銷節日，從過往地端IT佈署的情境來看，公司IT人員必須購買硬體設備來消化突然大量湧進的流量，然而，促銷日過完之後，那些硬體就成為了閒置的資源；反之，雲端彈性擴展的能力能讓企業在幾分鐘之內快速提升/縮減運算資源，使企業節省掉不必要的浪費。博弘團隊認為，不管是從提升消費者使用體驗或是從電商平台營運的角度來看，電商平台上雲是個是在必行的趨勢。博弘為您整理出電商平台上雲的三大優勢從資本支出轉為變動支出傳統資本支出的IT模式使企業無法快速測試及創新。AWS使您能夠快速啟動新的運算資源，並能夠在不投資大量前期成本的情況下使用服務。AWS透過使用您所使用的定價模型，如：按需、預留實例、競價等來 … [Read more...] about 升級顧客網購體驗，AWS翻轉線上零售新應用

Use case on kidney CT data from KiTS19 challengeTo convert a DICOM file from grayscale to RGB, you should modify several DICOM tags other than just the pixel data.Full source code is available at the end of this post.DICOM (Digital Imaging and Communications in Medicine) is the international standard for storing and transmitting medical images, and DICOM files are mostly viewed … [Read more...] about How to convert grayscale DICOM file to RGB DICOM file with Python

Array SortingLet’s start with something simple: sorting an array. NumPy’s sort (in both NumPy & TensorFlow) actually support different sorting algorithms depending on the parameter kind. By default, if your NumPy version is newer than 1.12, it will use introsort (quick link to wiki) or heapsort (quick link to wiki) which has a worst-case complexity of O(n … [Read more...] about TensorFlow: Accelerate NumPy with GPUs

The dataset has been acquired from Kaggle which contains 21,397 images in the training dataset and around 15,000 images in the test set. There are two variables in the dataset: Image_id is the image file name and label is the ID for categories of diseases. There are 5 classes of Cassava Leaf Diseases shown below:Table 1: Cassava Leaf Diseases LabelsMissing ValuesAfter checking … [Read more...] about Cassava Leaf Disease Classification with Deep Learning: Part I

Learning curves galore, and I’m hungry to learn more!Learning backend for the first time was a b*tch. I thought I only needed a couple of frameworks and libraries to get the job done in a week but boy was I wrong. Allow me to explain.Before I start, I’d like to give myself a brief introduction. Hi! My name is Evan and I’m a 16-year-old innovator at The Knowledge Society. A … [Read more...] about Takeaways from building and deploying my first machine learning web app!

An Introduction to Computer Vision, Part 4Up until now we’ve discussed how computers “see” images, how algorithms detect objects within an image, and an ingenious shortcut utilized by Paul Viola and Michael Jones to greatly reduce the amount of time and processing power needed to train and run their algorithm 20 years ago. What we haven’t talked about is how algorithms learn to … [Read more...] about Training Day: Training Image Classifiers