Author Archives: Yugesh Verma - Page 23
Text classification is a process of providing labels to the set of texts or words in one, zero or predefined labels format, and those labels will tell us about the sentiment of the set of words.
The post Guide To Text Classification using TextCNN appeared first on Analytics India Magazine.
Bidirectional long-short term memory(Bidirectional LSTM) is the process of making any neural network o have the sequence information in both directions backwards (future to past) or forward(past to future).
The post Complete Guide To Bidirectional LSTM (With Python Codes) appeared first on Analytics India Magazine.
Genetic algorithms(GA) are a rapidly growing area of artificial intelligence and machine learning. They are based on natural selection and genetics. Genetic algorithms are adaptive heuristic algorithms; as such, they represent an intelligent utilization of random search to solve optimization problems. The idea of GA is given by John Holland which follows the principle “Survival…
The post Genetic Algorithms Made Easy With EasyGA appeared first on Analytics India Magazine.
In today’s era, a huge part of our life involves going on different applications and searching for our requirements. One of the unique things about it is autocompleting, i.e., before putting a whole word in a search bar, we get some recommendations. Sometimes the search bar recommends exactly what we wanted to search, or sometimes…
The post Introduction Guide To FP-Tree Algorithm appeared first on Analytics India Magazine.
Time series data is a collection of data points obtained in a sequence with time values. These time values can be regular periods or irregular. We use time-series data to predict the future data responses, which are based on past data. Generally, in a time series, some unusual effect of seasonality or trends and noise…
The post Comprehensive Guide To Deseasonalizing Time Series appeared first on Analytics India Magazine.
Data science deals with multiple formats of data. At the basic level, we start with the CSV and Excel files. As we dig deeper into it, every source of information can be considered as data, no matter what kind of information it is. Different kinds of data such as images, video or audio can tell…
The post A Guide To Audio Data Preparation Using TensorFlow appeared first on Analytics India Magazine.
In the modern age, we store all image data in digital memory. This can be your computer or your mobile device, or your cloud space. Whenever a device stores an image, it keeps it by breaking it into a very small mosaic or pixel form or simply saying that the computer breaks it into tiny…
The post Guide To Image Color Analyzer In Python appeared first on Analytics India Magazine.
In the present scenario of Artificial Intelligence, Facebook AI Research (FAIR) is one of the leading contributors of open-source tools, libraries and architectures. There are many examples of contributions by Facebook like Flashlight, Opacus, Detectron2, Fasttext etc., to learn more about the contribution by FAIR, refer to this link. Fasttext is one of the open-source…
The post Guide To Facebook’s FastText: For Text Representations And Classifiers appeared first on Analytics India Magazine.
In time-series data, cyclic or non-cyclic, an increment or decrement in the magnitude of any variable over time is called the trend of the variable. As mentioned, trends can be cyclic or non-cyclic. If the trend is non-cyclic, it can cause accuracy loss in prediction. There are many kinds of trends we can identify, but…
The post Guide To Detrending Using Scipy Signal appeared first on Analytics India Magazine.
Guide To Microsoft’s FLAML
The current data science scenario raises a big question: how and what to select as a machine learning model to predict all best. When selecting, we use conventional ways like hyperparameter tuning, GridSearchCV and Random search to choose the best-fit parameters. These conventional techniques help us a lot, but they are time-consuming, take high computation…
The post Guide To Microsoft’s FLAML appeared first on Analytics India Magazine.