Machine

A far-sighted approach to machine learning

Picture two teams squaring off on a football field. The players can...

How one can construct a Path to Live (RTL) for data products like Machine Learning models Attempting to make the software RTL work for data But...

Most of the time, our enterprise platforms are designed for traditional software application development. They sometimes consist of 4 environments — Dev, Test, Pre-Prod & Prod — where the environments grow to be increasingly...

Why is it so difficult to successfully get AI technologies adopted into clinical care? The present state of machine learning in healthcare The research by Sendak...

In my view crucial thing is to not be afraid of truly attending to that diffuse and scale step. , albeit in a shadow mode. Only after making that step are you able to...

How I prepared and passed Google Machine Learning Engineer Certification exam

I recently passed Google Skilled Machine Learning Engineer Certification in March 2023, by which I went through a wide range of resources to achieve a greater understanding of what the certification entailed. So I...

Credit Card Fraud Detection with Random Forest Algorithm ( Machine Learning)

What's our problem?Why not Decision Trees but Random Forest?Fraud Detection.Evaluation of our model.Hello everyone, in today’s article we are going to review a fraud detection problem with a random forest algorithm. We can have...

List of topics it is best to know for practical Machine Learning approach… Data mining framework: Tools: Visualisation Libraries: Evaluation metric: Model Hubs/Zoo: Hyperparameter Tuning: Outlier Detection: Resampling: EDA: Cross Validation: Feature Engineering: Feature selection: Ensemble Methods: Dimensionality...

CRISP-DMSEMMAAnaconda/minicondaStreamlitJupyter NotebooksMLflowWeights & Biasescomet.mlMatplotlibSeabornPlotlyPivotTable.js-Accuracy- Precision (P)- Recall (R)- F1 rating (F1)- Area under the ROC (Receiver Operating Characteristic) curve - Log loss- Precision at k (P@k)- Average precision at k (AP@k)- Mean average precision...

The Way forward for Penetration Testing in IT Security Can be Driven by Artificial Intelligence (AI) and Machine Learning (ML)

It has been helpful in automation, improved decision making, personalisation and innovation (including that for self-driving cars, language processing, healthcare diagnostics and speech/facial recognition).As advanced AI systems like ChatGPT, DeepMind Sparrow, and others proceed...

10 End-to-End Guided Data Science Projects to Construct Your Portfolio Table of Content: 1. Automatic Speech Recognition System 2. Constructing Production-Ready Enterprise-Level Image Classifier with AWS &...

Data science is one of the vital sought-after fields in today’s job market. With the ever-increasing amount of knowledge being generated each day, businesses are in need of expert data scientists who can extract...

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