Published inMLearning.ai·PinnedBinary classification of breast cancer diagnosis using TensorFlow neural networksA comprehensive step-by-step guide with data analysis, deep learning, and regularization techniques — Introduction In this article, we will use different deep-learning TensorFlow neural networks to evaluate their performances in detecting whether cell nuclei mass from breast imaging is malignant or benign. This a step-by-step guide that you will be able to re-create in your own notebooks for practical purposes.Deep Learning10 min readDeep Learning10 min read
Published inMLearning.ai·PinnedThe effectiveness of clustering in IIoTHow this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. As human beings, we normally have a tendency to cluster and classify objects or…Clustering6 min readClustering6 min read
Published inMLearning.ai·PinnedAn AI model that is energy efficient is just as important as its purposeWhy keeping low energy outputs can be a sustainable solution for the proper utilization of resources. The leap of AI Over the past decade, we have witnessed the rise of deep learning research and its deployment in many industries globally. Our interest in uncovering the latest technologies in data science peaked nearly a year…Deep Learning7 min readDeep Learning7 min read
Published inMLearning.ai·PinnedWhat do Data scientists do in IIoT?An introduction to IIoT and the data science applications in this space — Preface: Before I start, I just want to wish my readers a happy new year ✨, and hope you have continued success this 2023. So, what is IIoT to begin with? 💻 The industrial internet of things (IIoT) is the use of internet of things (IoT) technologies in industrial settings, such as factories, warehouses, and power plants. …Data Science5 min readData Science5 min read
Published inMLearning.ai·PinnedUsing Deep Learning modeling to predict Electricity consumption — Part 1Showcasing the power of deep learning models used in time series when compared to previous machine learning models — Time series forecasting can occur when scientific predictions are based on historical time-stamped data. This involves building models through historical analysis and using them to make observations and drive future strategic decision-making. We live in a day of age where energy conservation and usage of renewable energy sources is a…Time Series Analysis7 min readTime Series Analysis7 min read
Published inMLearning.ai·Mar 9Federated Learning in IIoTHow the emergence of this technique has changed the machine-learning process for edge devices within Industry 4.0 Emergence Google coined the term federated learning (FL) during the Cambridge Analytical scandal of 2018. This was the time when sharing personal information online gained attention globally due to concerns over digital privacy. An…Federated Learning7 min readFederated Learning7 min read
Published inMLearning.ai·Jun 15, 2022Using Deep Learning modeling to predict Electricity consumption with an external variable — Part 2Showcasing the power of deep learning models used in time series when compared to previous machine learning models — In this second part, we analyze and use outdoor temperature as an added variable for predicting electricity consumption. Outdoor temperature is an interesting variable because we often use it as a visual indicator to either use the air conditioning to cool or heating devices to warm our homes. …Time Series Analysis6 min readTime Series Analysis6 min read
Published inMLearning.ai·Apr 28, 2022How to Detect-le-Defect on Twitch Part 2Can predicting sentiment be possible in a live-streaming platform? - Data Engineering and Proof of Concept (demo) segment — Overview In this second part, the points of discussion will be based on the Twitch extension, the EBS design choices, AWS architecture, proof of concept demonstration, and future improvements. As discussed in the previous part, the usage of a recurrent neural network model was the most powerful at forecasting sentiment with…Twitch5 min readTwitch5 min read
Published inMLearning.ai·Mar 24, 2022How to Detect-le-Defect on TwitchCan predicting sentiment be possible in a live-streaming platform? Part 1 — Time series/NLP/Machine Learning/Deep Learning — The Project This was a final data science and engineering project as part of the DSTI MSc in Applied DS and AI program. Based on the size of the project this article will be split into two parts. …Twitch7 min readTwitch7 min read
Mar 17, 2022👋 Hello WorldWelcome to my medium blog page! Introduction Prologue: As my first medium post, I thought of a great way to introduce myself and the work I have done with the hopes of contributing to the community of data science by testing new hypotheses and discovering innovations. I am originally from Peru but…Introduction2 min readIntroduction2 min read
