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Improve customer satisfaction and reduce costs by predicting delivery times more accurately. Delivery time forecasting is the process of predicting how long it will take to deliver a package. This can be done manually or using a software application. Delivery time forecasting is essential for delivery companies because it can […]
Machine learning is a complex and rapidly evolving field, but with the right approach, you can efficiently learn the fundamentals and start applying them to real-world problems. Here are three steps to help you get started: Step 1: Learn the Basics The first step in learning machine learning is to […]
Hill climbing is a mathematical optimization algorithm whose purpose is to find the best solution to a problem with a (large) number of possible solutions. Explaining the algorithm (and optimization in general) is best done using an example. In the Travelling salesman problem, we have a salesman who needs to […]
Today Facebook made one of its biggest plays yet to build out the services it provides to businesses on its platform: It is acquiring Kustomer, a startup founded to disrupt the customer services industry with a new approach to providing agents with better data and a more unified picture of users by […]
It is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning. You can choose from over 250 pre-built transformations to automate data preparation tasks without the need to write any […]
The presentation by Rich Hickey at the Boston Lisp meeting. A fairly extensive introduction to Clojure, with a presumption of prior knowledge of Lisp. You can read the complete transcription from this link. and you may find many similar files on the Clojure* Cheatsheets
Machine Learning for Chatbots: Definition, Processes, and Use Contexts Machine learning technology is increasingly being used for chatbots. To understand how machine learning is used in the development of chatbots, it is essential to understand the different chatbots and how machine learning technology can make chatbot communication more intelligent and […]
Sigmoid fonksiyonunu, özellikle öğrenme algoritmalarında iterasyon için kullanıyoruz. Ardışık kullanımda sonucu 1′ e yakınsar. Python örneklerinde bol bol kullanıyoruz. Örnek bir kod aşağıdaki gibi olabilir. def nonlin(x): return 1 / (1 + np.exp(-x))
Python ile veri bilimi ve makine öğrenmesi konusunda çalışmak istiyorsak işe NumPy ve Pandas ile başlamamız gerekiyor. Çok basit bir örnek uygulama ile başlayabiliriz. Bir giriş veri setimiz var, bir işlemden geçerek bir sonuç seti oluşuyor. Bunun algoritmasını tahmin etmeye çalışıyoruz. Sigmoid fonksiyonu ile iterasyonu ayarlıyoruz. Bu temel bir yaklaşımdır.
YÜZ TANIMA SİSTEMLERİNİN YANILTILMASINA KARŞI BİR YÖNTEM: YÜZ VİDEOLARINDA NABIZ TESPİTİ İLE CANLILIK DOĞRULAMASI Günümüzde kimlik saptama amaçlı kullanılan biyometrik teknolojiler, güvenlik, erişim, kontrol, takip gibi alanlarda aktif olarak rol almaktadır. Bu teknolojilerden biri olan yüz tanıma sistemi, diğer biyometrik sistemlere göre temassızlık ve günlük hayatımıza yerleşmiş bulunan düşük maliyetli […]