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Dr Sonal Khosla (Speaker) holds a PhD in ComputerScience with a specialization in Natural Language Processing from Symbiosis International University, India with publications in peer reviewed Indexed journals. Computational Linguistics is rule based modeling of natural languages.
During training, the input data is intentionally corrupted by adding noise, while the target remains the original, uncorrupted data. The autoencoder learns to reconstruct the cleandata from the noisy input, making it useful for image denoising and data preprocessing tasks. Or requires a degree in computerscience?
As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters.
Understanding DataScienceDataScience involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. You will collect and cleandata from multiple sources, ensuring it is suitable for analysis.
It is a central hub for researchers, data scientists, and Machine Learning practitioners to access real-world data crucial for building, testing, and refining Machine Learning models. The publicly available repository offers datasets for various tasks, including classification, regression, clustering, and more.
By the end of this blog, you will feel empowered to explore the exciting world of DataScience and achieve your career goals. It involves using various techniques, such as data mining, Machine Learning, and predictive analytics, to solve complex problems and drive business decisions.
Datacleaning identifies and addresses these issues to ensure data quality and integrity. Data Analysis: This step involves applying statistical and Machine Learning techniques to analyse the cleaneddata and uncover patterns, trends, and relationships.
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