Category: Data Science

If you are into deep learning and artificial intelligence, you must be familiar with Keras. One of the most popular Deep Learning frameworks – Keras has become the go-to choice of Data Scientists due to its smooth, high-level, and user-friendly interface. Keras has made it easier for Data Science beginners to dive into deep learning […]

Today we will talk about an important type of neural network, which is Convolutional Neural Networks or CNN. CNN plays a crucial role in computer vision. Computer vision as the name suggests aims at helping computers decrypt visual data and over time learn to recognise images. In this process, CNN helps the computer in breaking down […]

Whether you are a Data Scientist or an AI engineer, we are sure you must be fascinated with Natural Language Processing (NLP). One of the most popular subset of Data Science, NLP has been around for quite some time now. However, as the demand for Data Science and AI increased across industries, much attention has […]

In the fields of Data Science and Artificial Intelligence, Deep Learning is one of the most in-demand skills. Deep Learning, a type of Machine Learning, finds its applications across varied Artificial Intelligence (AI) based products and services. Deep learning algorithms known as neural networks imitate the human brain and its functions and help identify and […]

When hiring for a Data Science and AI role, interviewers specifically test candidates for their Python and Artificial Intelligence skills. While AI is a vast topic and can invite questions from varying ends of the spectrum. Interviewers usually ask questions from some of the most-used libraries, concepts, and applications. One such popular topic in AI […]

In this episode of our Accredian Success Story series, we feature Samta Sharma, Director, Data Science & Information Proficiency, OHSL.  An engineer by profession, Samta has nearly 21 years of experience in development and project management. However, owing to her love for new technologies, she decided to explore the field of  Data Science and build […]

The rise of Data Science and Artificial Intelligence has been powered through areas like Machine Learning. As per a Forbes survey, 50% of companies plan to increase their spending on AI and  Machine Learning in 2021. From Tech giants such as Google and Microsoft to leading startups like Uber and Slack, all are leveraging Machine […]

Data visualization is one of the most important and final steps in the data lifecycle. Data visualization helps brands go beyond the boring texts and long data lists and effectively portray their findings, trends, analyses, revenues, user behaviour, metrics, and more using visually appealing techniques.  With a large influx of data and a creative shift, […]

Data manipulation is one of the most important responsibilities of a Data Scientist. It is a step between data cleaning and analysis. Data manipulation includes converting and structuring data to perform analysis, deduce actionable insights, and make business decisions. To make the best out of data, companies look for Data Scientists with exceptional data manipulation […]