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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems.

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Fraud Detection using Deep Learning

Cloudera

The approach to machine learning using deep learning has brought marked improvements in the performance of many machine learning domains and it can apply just as well to fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection.

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Deep Learning with Nvidia GPUs in Cloudera Machine Learning

Cloudera

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction.

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Natural Language Processing: A Guide to NLP Use Cases, Approaches, and Tools

AltexSoft

And this technology of Natural Language Processing is available to all businesses. Keep reading to learn: What problems NLP can help solve. Available methods for text processing and which one to choose. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life.

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Top 10 Data Science Websites to learn More

Knowledge Hut

The best Website to learn Python: w3schools.com. Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. Get to know more about data science for business.

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Data Labeling in Machine Learning: Process, Types, and Best Practices

Knowledge Hut

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

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What are the Commonly Used Machine Learning Algorithms?

Knowledge Hut

The training process of the data is continued till the model achieves the desired accuracy. M achine Learning is a boon for all types of i ndustries, as it solves many difficult problems , and helps to mitigate risk and loss of human power. This process is held in a sequence of steps satisfying the threshold value given by the user.