Also known as text tagging or text categorization is the process of assigning tags or categories to text data based upon its content. With the help of NLP fundamentals, text classifiers can automatically analyze text data and then assign a set of pre-defined tags or categories. Example- Classify emails, if it is spam or not based upon its content.
One of the most widely known and implemented uses of Natural Language Processing, Sentiment analysis is a computational process for detecting the emotions/sentiment expressed in text data of different individuals. …
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data.
Data science is a “concept to unify statistics, data analysis, machine learning, and their related methods” to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science.
All the mentioned courses depend on your choice if you have a better way to learn, definitely go for that too.
In 2014, Amazon decided to build a machine learning model into its recruitment system, which could evaluate hundreds and thousands of applicants and spit out the best profiles for recruitment. As you know, there was more male applicant at that time for the position of a software engineer and Technical positions.
Do you love your privacy? I know you do. Go through these malware types and save your buddy ( Computer ) from these aliens.
Malware (a portmanteau for malicious software) is any software intentionally designed to cause damage to a computer, server, client, or computer network (by contrast, software that causes unintentional harm due to some deficiency is typically described as a software bug). A wide variety of types of malware exist, that you know as you proceed.
Programs are also considered malware if they secretly act against the interests of the computer user. For example, at one point Sony…
First, let’s see what a Classifier is: An algorithm that maps the input data to a specific category. Classification model: “A classification model tries to draw some conclusions from the input values given for training. It will predict the class labels/categories for the new data.” So here are a few algorithms mentioned below with a point-wise description. You will take an idea of when to use when to avoid, why you should use, etc.
What technology you should go for! Beginners and even intermediates confuse between ML & DL! Did you know this?
As you may know, the advancement of Artificial intelligence has been hyped i.e. machine Learning and Deep Learning. Anyone interested in this field, constantly freezing their minds with these terms, whether they understand these terms or not. ML & DL may be fascinating but not at all easy for a beginner. So before choosing your career in ML & DL, just interrogate enough about how both works and what kind of skill sets are required. …
For your convenience, I have added a few importnt explanation links for the concepts that are important, where you can go in-depth for further knowledge. Hope you’ll enjoy learning !
Eye gaze tracking technology over the past few decades has led to the development of promising gaze estimation techniques and applications for human-computer interaction. Historically, research on gaze tracking dates back to the early 1900s, starting with invasive eye-tracking techniques. These included electro-occulography using pairs of electrodes placed around the eyes or the scleral search methods that include coils embedded into a contact lens adhering to the eyes. This changed…
Energy-saving tip folk: Better start with OpenCV-C++/ Python, https://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html is a library of Python bindings designed to solve computer vision problems. Later you can keep progressing with neural networks.
In 1960 Woody gave the first semi-automated facial recognition technique. This technique required some features such as mouth, nose, eyes, and nose on the image. After that, face recognition techniques came in the picture. In 2001 onwards this biometric technique increased rapidly according to the below figure. The main goal of this article is to aware beginners about constantly increasing scientific interest in face recognition biometric technique. …
Twitter analysis for the highest voice of celebrities i.e. who has tweeted the most about topics and issues.
The content in this article is based on the project that i have done and found it usefull and fun. It is available on my github “ https://github.com/SuryaGovind/Twitter-Trend-Analyzer ”.