Machine Learning
FLOOD FORECASTING USING MACHINE LEARNING Machine learning (ML) flood forecasting models help with flood warning and mitigation or prevention. For this purpose, machine learning (ML) techniques have gained popularity due to their low computational demands and reliance mainly on observational data. Floods are one of the most devastating natural disasters that wreak havoc on human …
Did you know that most medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, it is difficult for doctors to provide accurate results. T. What if some technologies can overcome problems in healthcare? Sounds interesting, right? This is where machine learning comes into play. This article will help you learn how machine …
Using ML in HealthCare: Predictive Analytics and Diagnostics Read More »
A function in Python is a block of reusable code that can be called multiple times to perform a specific task. Use to define a function def keyword followed by the function name, a set of parentheses () which can contain parameters and a colon :. Code in a function must be indented. Syntax: def …
How to sort a list of tuples in python? Tuples are a basic data structure in Python that allows you to store multiple values in a single object. A tuple is an ordered and immutable (you cannot update elements in a tuple) collection of items. Tuples in Python are similar to lists, but they cannot …
How to sort a list of tuples in Python – Spark by {examples} Read More »
~Coexistence of robots and humans. The phrase “artificial intelligence” was first used at a symposium at Dartmouth College in Hanover, New Hampshire in 1956, which also marked the official founding of the field of AI. Since then, this technology has come into vogue, a world where robots and humans can co-exist. AI is nothing but …
Data scientists and analysts play a key role in data by using data to inform decisions and drive action. They perform a wide range of tasks to collect, process, analyze and interpret data to gain insights and make meaningful recommendations. Data analysts are important today because they help organizations make informed decisions based on data. …
4 Data Preparation Best Practices for Scientists, Business Analysts and Researchers Read More »
Information retrieval (IR) problems have seen significant improvements in trained transformers such as BERT and T5, refined on millions of instances. The model is expected to perform better than unsupervised models when the queries and documents from the task of interest are comparable to those in the fine-tuning data. For example, in 15 out of …
Activation functions Aactivation functions to determine the accuracy of the deep learning model and also the computational efficiency of training the model. Activation functions also have a large impact on the ability of the neural network to converge, i.e. to find optimal weights and biases. Without them, our neural network would become a linear combination …
Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they rely on user videos, comments, …
Introduction What makes a song tick? It’s easy to justify your love for a song when the artist hits a high note or recites a thought-provoking verse. It’s also easy to like a song solely because it was performed by one of your favorite artists. However, that alone does not account for the current music …
Identifying Drivers of Spotify Song Popularity With Causal ML Read More »
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