techniques

A population of orcas hanging out far off the coast of California have worked out the best methods for hunting their prey in open waters.With a diet consisting almost entirely of marine mammals, orcas need to maximize their hunting success to make sure that everyone gets fed. Closer to the coast where the species on which the orcas feed can be easily cornered and caught, competition can be fierce. Heading further out to sea can provide more food for those who know how to catch it. The orcas making up the transient…

Convert ideas into mathematical expressions to solve operations research problemsPhoto by Aaron Lefler on UnsplashNumerical optimization is at the core of quantitative techniques in decision science. It encompasses a set of frameworks to optimize one or more objectives under some prescribed set of circumstances.Two major categories of optimization problems are Linear and Nonlinear Programming. These categories are distinguished by how the mathematical relationships between the decision variables are established in the…

How to Extend Your Predictions Beyond Validation PeriodContinue reading on Towards Data Science » How to Extend Your Predictions Beyond Validation PeriodContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of…

February might be the shortest month, but it certainly didn’t feel this way here at TDS, where our authors have been on top of their game, sharing strong contributions on timely topics — including some of the longest and most-read articles of the year so far.Now that most of us have settled into the flow of things in 2024, we see our readers focus slightly less on career moves and more on core skills and concrete solutions to common issues. Our most-read and -discussed articles of the past month reflect that, and below…

How learning from human feedback revolutionized generative language models…Continue reading on Towards Data Science » How learning from human feedback revolutionized generative language models…Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all…

Rocks made of barium sulphate (known as barite rocks) from the from the Pilbara Craton in Western Australia. Credit: Gerhard Hundertmark To learn about the first organisms on our planet, researchers have to analyze the rocks of the early Earth. These can only be found in a few places on the surface of Earth. The Pilbara Craton in Western Australia is one of these rare sites; there are rocks there that are around 3.5 billion…

Applying advanced data science techniques to harness the full potential of IoT data In the rapidly evolving landscape of the Internet of Things (IoT), the sheer volume of data generated by interconnected devices presents a goldmine of untapped potential. To extract meaningful insights from this vast and diverse dataset, the application of data science techniques becomes imperative. This comprehensive guide aims to unravel the…

SEO has come a long way from the days of keyword stuffing. Modern search engines like Google now rely on advanced natural language processing (NLP) to understand searches and match them to relevant content. This article will explain key NLP concepts shaping modern SEO so you can better optimize your content. We’ll cover:How machines process human language as signals and noise, not words and concepts. The limitations of outdated latent semantic indexing (LSI) techniques. The growing role of entities –…

3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code ExamplesHow should we choose between label, one-hot, and target encoding?Why Do We Need Encoding?In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical variables. This means we need to transform categorical variables into numeric ones for these models to…

On a scale from 1 to 10 how good are your data ingestion skills?Continue reading on Towards Data Science » On a scale from 1 to 10 how good are your data ingestion skills?Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you…