In this topic, we will learn MongoDB and various concepts like - CRUD operations, query optimization, data modeling, aggregations, MapReduce, indexing, replication, sharding, administration and security
This is a Hands-On assessment to help you learn how to create a deep neural network using TensorFlow in Python. We are going to use the MNIST example to demonstrate.
Kids who have been playing Roblox games would love to build Roblox games using Roblox Studio. The coding is done using Lua while making games such as Roblox Jailbreak.
Before starting this I would strongly recommend watching a couple of videos from Roblox official youtube channel: https://www.youtube.com/watch?v=0LiaEDui2vE
This playlist is going to be full of simple questions to make kids learn fundamentals of coding.
There are many Big Data Solution stacks.
The first and most powerful stack is Apache Hadoop and Spark together. While Hadoop provides storage for structured and unstructured data, Spark provides the computational capability on top of Hadoop.
The second way could be to use Cassandra or MongoDB. The third could be to use Google Compute Engine or Microsoft Azure. In such cases, you would have to upload your data to Google or Microsoft which may not be acceptable to your organization sometimes.
In this post, we will understand the basics of:
Welcome to the chapter on Race Conditions and Deadlocks. Here, We can understand what Race Conditions and Deadlocks are, and also practice some MCQs.
This is a bite-sized course for programmers who want to learn about the tech behind AI powered search engine similar to Google are built on - Neural Search. You don't need to know about Machine Learning or Neural Networks to learn. As long as you understand few basic concepts of logic and programming, this is for you.
Concepts covered
You'll need
This topic will help you learn about Regular Expressions. Commonly used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation, regular expression is a sequence of characters to easily define a search pattern.
Welcome to this project on Deploy Image Classification Pre-trained Keras model using Flask. In this project, we will have a comprehensive understanding of how to deploy a deep learning model as a web application using the Flask framework.
Developing a machine learning or deep learning model is very important to solve problems using AI. On the other hand, it is equally important to have a knowledge of how to deploy those amazing problem-solving models into such an interface that enables the users to make use of these solutions. Even many apps we use today, like YouTube, Amazon/Flipkart shopping, FaceApps …