Gong

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Image: Margaret K. McElderry Booksio9 has highlighted the work of best-selling fantasy author Chloe Gong in the past—last year, we announced and shared an excerpt from her adult debut, Immortal Longings, which is out in July. But Gong has another 2023 release: Foul Heart Huntsman, the second book in her Foul Lady Fortune duology following the adventures of an immortal assassin in 1930s Shanghai. We’ve got the cover and an excerpt to share today!Here’s a description of the story:Winter is drawing thick in 1932 Shanghai, as…

Use Streamlit to Build Your First YouTube Analytics AppPhoto by Tran Mau Tri Tam on UnsplashFor the majority of the time, data science/data analytics projects end up as delivering a static report or dashboard, which tremendously downgrades the efforts and thoughts being put into the process. Alternatively, web app is a great way to demonstrate your data analytics work, which can be further expanded as a service on self-served and interactive platforms. However, as data scientists or data analysts, we are not trained for…

Linear Algebra for Machine Learning — Covariance Matrix, Eigenvector and Principal ComponentPrincipal Component Analysis for ML (image by author)In my previous article, we have talked about applying linear algebra for data representation in machine learning algorithms, but the application of linear algebra in ML is much broader than that.This article will introduce more linear algebra concepts with the main focus on how these concepts are applied for dimensionality reduction, specially Principal Component Analysis (PCA).…

Starting from using matrix and vector for data representationLinear Algebra for Machine Learning (image by author)Truth be told, the role of linear algebra in machine learning has been perplexing me, as mostly we learn these concepts (e.g. vector, matrix) in a math background while discarding their applications in the machine learning context. In fact, linear algebra has several foundational use cases in machine learning, including data representation, dimensionality reduction and vector embedding. Starting from…

How to Use Plotly for More Insightful and Interactive Data ExplorationsDynamic EDA for World Cup Teams (image by author)This article will introduce the tool, Plotly , that brings data visualization and exploratory data analysis (EDA) to the next level. You can use this open source graphing library to make your notebook more aesthetic and interactive, regardless if you are a Python or R user. To install Plotly, use the command !pip install — upgrade plotly.We will use the “Historical World Cup Win Loose Ratio Data ” to…

See the full cover below!Image: Will Staehle (Gallery/Saga Press)Just over a year ago, io9 broke the news that best-selling YA author Chloe Gong (These Violent Delights, Our Violent Ends) would be making the leap to adult fantasy fiction with 2023's Immortal Longings, the first in a new trilogy. Now, we have the first excerpt from the novel for you to peruse.Here’s a full description of the story, a riff on Shakespeare’s Antony and Cleopatra, with a setting that Gong told io9 was inspired by Hong Kong’s historic Kowloon…

On the differences between these models, and how you should use themTime Series Analysis Illustration (image by author)Time series is a unique type of problem in machine learning where the time component plays a critical role in the model predictions. As observations are dependent on adjacent observations, this violates the assumption that observations are independent to each other followed by most conventional machine learning models. Common use cases of time series analysis are forecasting future numeric values, e.g.…

How to Build Your First Deep Neural NetworkDeep Learning Cheatsheet (image from my website)Deep learning is a sub-category of machine learning models that uses neural networks. In a nutshell, neural networks connect multiple layers of nodes and each node can be considered as a mini machine learning model. The output of the model then feeds as the input of the subsequent node.deep learning model (image by author)TensorFlow is a Python library that primarily focuses on providing deep learning framework. To install and…