Learning

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...

A Lesson on Applied Reinforcement Learning in Production

Reinforcement Learning (RL) has gained significant popularity as a technology for achieving superhuman performance in a variety of applications, from games, complex physical control to mathematical computations. Although RL has produced impressive research advancements,...

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...

Why it’s time to start out learning use large language models

As massive language models (LLMs) improve and offer features equivalent to with the ability to analyze images, use “eyes” and “ears” together with carrying out recent tasks, the age-old fear of recent technologies raises...

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...

To learn from AI, your organization’s learning loops must evolve Single-loop learning and the race for velocity Double-loop learning and opportunity cost Steering the loop with design...

Ideas are low cost. AI is posed to make outputs just as low cost. But without the higher-level feedback loops, your organization’s decision-making will remain a bottleneck to creating value.A protracted time ago, the...

Busy GPUs: Sampling and pipelining method hastens deep learning on large graphs

Graphs, a potentially extensive web of nodes connected by edges, might be...

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