Go

A fast paced guide that will help you to create, read, update and delete data using MongoDB

Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications

This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and Clustering

Infuse an extra layer of intelligence into your Go applications with machine learning and AI

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting

Explore the fundamentals of systems programming starting from kernel API and filesystem to network programming and process communications

Learn to build, secure, deploy, and manage your serverless application in Golang with AWS Lambda

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Learn Go programming with concise examples providing solutions to common problems

Understand basic-to-advanced deep learning algorithms, the mathematical principles behind them, and their practical applications

Design and implement professional level programs by exploring modern data structures and algorithms in Rust.

Learn to implement complex data structures and algorithms using Python

Understand and solve complex computational problems and write efficient code with Kotlin

Create powerful, accurate, and real-time Computer Vision applications using a perfect blend of algorithms and filters. Also learn about object tracking and foreground extractions with a variety of new filters and algorithms.