Learning
Artificial Intelligence
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,...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
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...
Artificial Intelligence
Busy GPUs: Sampling and pipelining method hastens deep learning on large graphs
Graphs, a potentially extensive web of nodes connected by edges, might be...
Artificial Intelligence
Deep Learning for Forecasting: Preprocessing and Training Deep Learning for Forecasting Using many time series for deep learning Hands-On Using Callbacks for Training a Deep Neural Network Key Take-Aways
train deep neural networks using several time seriesDeep neural networks are iterative methods. They go over the training dataset several times in cycles called epochs.Within the above example, we ran 100 epochs. But,...
Artificial Intelligence
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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