10 Best Python Libraries for Machine Learning & AI
Traveling salesman problem
The traveling salesman problem (also called the traveling salesperson problem or TSP) asks: “Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?” It is an NP-hard problem in […]
Beyond MicroGrids: Bringing Delivery to Berlin
Parcel Shuttle: Bringing green delivery to Berlin and beyond with intelligent microgrids Parcel Shuttle radically lowers delivery travel distance, slashes distribution times by 25%, and reduces its carbon footprint with the Google Maps Platform. In Berlin’s urban bustle, delivery vans are as ever-present as the city’s famed street art and […]
Delivery Time Forecasting: A Guide to Predicting Delivery Times
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 in Three Steps: How to Efficiently Learn It
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 […]
Traveling Salesman Problem using Hill Climbing
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 […]
Facebook Is Acquiring Kustomer
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 […]
What is AWS Glue DataBrew?
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 […]
Clojure for Lisp Programmers
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
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 […]