Author Archives: 365Data Science

ML05: Neural Network on iris by Numpy Discover NN elements by a perceptron from scratch Read time: 10~12 min Beginners of NN often intimidated by the tricky math and complex models at the first sight, so I’d like to share a fairly simple toy example of NN on iris without leveraging any DL framework like PyTorch orContinue reading “ML05: Neural network on Iris”

Image labelling is the process of manually or automatically defining regions in an image and creating a textual description of those… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/top-and-easy-to-use-open-source-image-labelling-tools-for-machine-learning-projects-ffd9d5af4a20?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-and-easy-to-use-open-source-image-labelling-tools-for-machine-learning-projects

No matter the field in which you hold some expertise, sharing your skills to benefit the lives of others or supporting non-profit organizations that try to make the world a better place is a noble and time-worthy personal pursuit. Many opportunities exist in data science to contribute to meaningful projects and crucial needs from yourContinue reading “Data Science Volunteering: Ways to Help”

This article compares the performance of the well-known pandas library with pypolars, a rising DataFrame library written in Rust. See how they compare. Originally from KDnuggets https://ift.tt/34kvmtp source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-rising-library-beating-pandas-in-performance

Ascend to new heights in Data Science and Machine Learning with this thrilling list of coding tips. Originally from KDnuggets https://ift.tt/3naPBRB source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-python-skills-they-dont-teach-in-bootcamp

Many data scientists have implemented machine or deep learning algorithms on static data or in batch, but what considerations must you make when building models for a streaming environment? In this post, we will discuss these considerations. Originally from KDnuggets https://ift.tt/3n7m4rU source https://365datascience.weebly.com/the-best-data-science-blog-2020/building-ai-models-for-high-frequency-streaming-data4746306

AdaBoost technique follows a decision tree model with a depth equal to one. AdaBoost is nothing but the forest of stumps rather than trees. AdaBoost works by putting more weight on difficult to classify instances and less on those already handled well. AdaBoost algorithm is developed to solve both classification and regression problem. Learn toContinue reading “Implementing the AdaBoost Algorithm From Scratch”

A concise concept map Read time: 20 min This article is like a concise concept map from ML to ANN to NLP, I wouldn’t put attention on the complicated math behind ML, DL and NLP. Instead, I try to just run through all the concepts and leave the details to the readers. This article is aContinue reading “ML04: From ML to DL to NLP”

A recent survey by Gartner predicts, “By 2021, 40% of new enterprise applications implemented by service providers will include AI technologies.” The world of business is undergoing a massive change owing to the rapid emergence of artificial intelligence (AI) for enterprise applications. Indeed, artificial intelligence has the power to solve several organizational problems as itContinue reading “How Is AI Transforming Enterprise Software Applications”

Lift the curse of dimensionality by mastering the application of three important techniques that will help you reduce the dimensionality of your data, even if it is not linearly separable. Originally from KDnuggets https://ift.tt/37Xz9hg source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-compression-via-dimensionality-reduction-3-main-methods