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Data Visualization, Geographical DataA data visualization tutorial on how to build three different maps in Python Altair: choropleth map, dot density map, and proportional symbol mapPhoto by Kyle Glenn on UnsplashFor data scientists, visualizing data is an essential skill. It helps to quickly understand patterns...

A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)(Attention book promotion!)Structure of the BookAs an expample: XGBOOSTTaxonomyDefinition: XGBoost is an extension of gradient boosted decision trees (GBM) and is specifically designed to improve speed and performance by using regularization methods...

We use business cards to store contact information of business affiliates, interests and leads. The past few years have seen a change in this trend with the advent of Excel, Google Contacts and other cloud based solutions to store contact information, where we are increasingly...

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning....

Facts are unpleasant: 87% of data science projects never make it to production . Your project can fail due to many reasons. How to act and (possibly) prevent such situations? How to deal with negative emotions? And, at the end of the day, why did...

Laguna Hills, Calif. – January 29, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that it has achieved tape out of its AKD1500 reference design on...

Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing, anomaly detection, and cataloging are important steps, but technology alone will not solve your data quality problem. Like any entropic system, data...

Photo by Keijiro Takahashi    The time of human beings as the only entity that can think creatively is fast coming to an end, and in fact, we may no longer be the top dogs when it comes to creative thinking. This is because machine...

The Continuous Ranked Probability Score is a statistical metric that compares distributional predictions to ground-truth valuesAn important part of the machine learning workflow is the model evaluation. The process itself can be considered common knowledge: split the data into train and test sets, train the...

In today’s fast-paced world, businesses are looking for ways to make better use of their data to make informed decisions faster. One of the key trends in data analytics is real-time data analytics, which allows organizations to process and analyze data in real-time as it...