Category Archives: Data Science News

Case example: Tay- the Twitter bot On March 23rd, 2016, an artificial intelligence chatbot by Microsoft was released on Twitter called Tay after the acronym — Thinking About You. It was modelled to mimic the language patterns of a 19-year-old American girl and to learn from interactions with other human Twitter users (Wikipedia contributors, 2020b). As soon asContinue reading “The problem with the increased feminization of AI”

Balancing how data improves and deteriorates our online experiences Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/what-companies-really-do-with-your-data-1466b55a1e0c?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-companies-really-do-with-your-data

Natural language processing has already begun to transform to way humans interact with computers, and its advances are moving rapidly. The field is built on core methods that must first be understood, with which you can then launch your data science projects to a new level of sophistication and value. Originally from KDnuggets https://ift.tt/3rMHUTl sourceContinue reading “6 NLP Techniques Every Data Scientist Should Know”

NoSQL Databases have four distinct types. Key-value stores, document-stores, graph databases, and column-oriented databases. In this article, we’ll explore column-oriented databases, also known simply as “NoSQL columns”. Originally from KDnuggets https://ift.tt/3pgfMXh source https://365datascience.weebly.com/the-best-data-science-blog-2020/understanding-nosql-database-types-column-oriented-databases

Advance your data science career with Northwestern. Build the essential technical, analytical, and leadership skills needed for careers in today’s data-driven world in Northwestern’s Master of Science in Data Science program. Apply now. Originally from KDnuggets https://ift.tt/3aVhpUX source https://365datascience.weebly.com/the-best-data-science-blog-2020/online-ms-in-data-science-from-northwestern

Scikit-Learn is an easy to use a Python library for machine learning. However, sometimes scikit-learn models can take a long time to train. The question becomes, how do you create the best scikit-learn model in the least amount of time? Originally from KDnuggets https://ift.tt/3qefOQu source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-speed-up-scikit-learn-model-training

Data Leakage is one of the Biggest issues in machine learning and can lead to deceptive and poor model performance hence it needs to be properly dealt with before deploying your model in production. Data leakage is one of the most difficult problems when developing a machine learning model. It happens when you train yourContinue reading “How To Properly Deal With Data Leakage”

Credit Card Fraud Detection: How to handle an imbalanced dataset This post will be focused on the step-by-step project and the result, you can view my code in my Github. tags: machine learning (logistic regression), python , jupyter notebook , imbalanced dataset (random undersampling, smote) Introduction Credit card fraud is an inclusive term for fraud committed using aContinue reading “Credit Card Fraud Detection: How to handle Imbalanced Dataset”

Ever wondered about the term “Generalization” for ML models? Generalization in Machine Learning means, the model which you built using your data, gives better results on testing data compared to the training data. How to achieve generalization? By simply changing the random state at the time of splitting the data into training and validation data youContinue reading “Generalization Technique for ML models”

Just as with most things in life, assumptions can directly lead to success or failure. Similarly in machine learning, appreciating the assumed logic behind machine learning techniques will guide you toward applying the best tool for the data. Originally from KDnuggets https://ift.tt/3aS4q6I source https://365datascience.weebly.com/the-best-data-science-blog-2020/machine-learning-its-all-about-assumptions