Tutorial by Topics: learn

scikit-learn is a general-purpose open-source library for data analysis written in python. It is based on other python libraries: NumPy, SciPy, and matplotlib scikit-learncontains a number of implementation for different popular algorithms of machine learning.

Machine Learning is the science (and art) of programming computers so they can learn from data. A more formal definition: It is the field of study that gives computers the ability to learn without being explicitly programmed. Arthur Samuel, 1959 A more engineering-oriented definition: A compu...

This section provides an overview of what deep-learning is, and why a developer might want to use it. It should also mention any large subjects within deep-learning, and link out to the related topics. Since the Documentation for deep-learning is new, you may need to create initial versions of t...

The topic uses PHP-ML for all machine learning algorithms. The installation of the library can be done using composer require php-ai/php-ml The github repository for the same can be found here. Also it is worth noting that the examples given are very small data-set only for the purpose of dem...

Deep Learning is a sub-field of machine learning where multi-layer artificial neural networks are used for learning purpose. Deep Learning has found lots of great implementations, e.g. Speech Recognition, Subtitles on Youtube, Amazon recommendation, and so on. For additional information there is a ...

Apache spark MLib provides (JAVA, R, PYTHON, SCALA) 1.) Various Machine learning algorithms on regression, classification, clustering, collaborative filtering which are mostly used approaches in Machine learning. 2.) It supports feature extraction, transformation etc. 3.) It allows data practitio...

Kibana is front end data visualization tool for elasticsearch. for installing kibana refer to the kibana documentation. For running kibana on localhost go to https://localhost:5601 and go to kibana console.

This topic includes short, brief but comprehensive examples of loading pre-trained weights, inserting new layers on top or in the middle of pre-tained ones, and training a new network with partly pre-trained weights. An example for each of out-of-the-box pre-trained networks, available in Keras libr...

How to Start Learning C# While Still in College Do you want to teach yourself to code while you’re still in college? It could take you about two to three months to learn the basics of C# if you can spend an hour or so a day on learning it. There are a vast number of programming languages but C# is a...

Learning programming languages is useful not only for those who plan to tie their professional life to it. Firstly, it is a very cool and interesting hobby. Secondly, this hobby has a lot of very useful side effects. The best essay writing service experts say that learning to code can make life easi...

Learning a programming language is not an easy task. Similarly, selecting the language to start with can be daunting. For most beginners, programming languages may seem confusing and challenging. As such, you must understand what your end goal is. Also, you will want to understand the best path for ...

Top 7 Resources to Help You Learn Data Structures and Algorithms Today, if you want to get into computer science, you need to understand its fundamental concepts. Without them, you won’t have a solid understanding of the topic and therefore you probably won’t succeed in this field. But how can stude...