Selection

Using torch.index_select, torch.gather and torch.takeContinue reading on Towards Data Science » Using torch.index_select, torch.gather and torch.takeContinue 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 the…

By Morgan Lee | Associated Press SANTA FE, N.M. — Prosecutors in New Mexico are pursuing accountability for the 2021 death of a cinematographer who was fatally shot by actor Alec Baldwin during a rehearsal for the Western film “Rust.” Before Baldwin’s case progresses, the armorer on the set is being tried on charges of involuntary manslaughter and tampering with evidence. Jury selection in Hannah Gutierrez-Reed’s trial started Wednesday in Santa Fe. Gutierrez-Reed has pleaded not guilty to the charges and maintains she’s…

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Instance Selection for Deep Learning — Part 2Photo by Mike Enerio on UnsplashThis post was written in collaboration with Tomer Berkovich, Yitzhak Levi, and Max Rabin.Appropriate instance selection for machine learning (ML) workloads is an important decision with potentially significant implications on the speed and cost of development. In a previous post we expanded on this process, proposed a metric for making this important decision, and highlighted some of the many factors you should take into consideration. In this…

Efficient Feature Selection via CMA-ES (Covariance Matrix Adaptation Evolution Strategy)Using evolutionary algorithms for fast feature selection with large datasetsThis is part 1 of a two-part series about feature selection. Read part 2 here.When you’re fitting a model to a dataset, you may need to perform feature selection: keeping only some subset of the features to fit the model, while discarding the rest. This can be necessary for a variety of reasons:to keep the model explainable (having too many features makes…

Efficient Feature Selection via Genetic AlgorithmsUsing evolutionary algorithms for fast feature selection with large datasetsThis is the final part of a two-part series about feature selection. Read part 1 here.Brief recap: when fitting a model to a dataset, you may want to select a subset of the features (as opposed to using all features), for various reasons. But even if you have a clear objective function to search for the best combination of features, the search may take a long time if the number of features N is…

When you hear the term natural selection, you likely think of change, but new research suggests the mechanism can also preserve similarities between populations.Biologists have a pretty solid grasp on the basic process of evolution. Genetic diversity in a population is the result of mutation, some of which create traits that help individuals thrive better in the present environment. Those traits have a good shot at being passed on, while characteristics that aren't so useful tend not to be represented in future…

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The last year of the four-team College Football Playoff, fittingly, will present the selection committee with its toughest decision yet — one so hard and fraught with political drama that the 13 humans probably are going to wish they were Bowl Championship Series computers for the next 24 hours.Based on the rankings entering this weekend, only two teams are clearly in the field: No. 2 Michigan, the Big Ten champion, and No. 3 Washington, the Pac-12 champion. Three Power-Five conference champions with traditionally…

Large language models (LLMs) like chatGPT has been a hot topic for business world since last year. Thus, the number of these models have drastically increased. Yet, one major LLM challenge prevents more enterprises adopting it, system costs for developing these models. For instance, Megatron-Turing from NVIDIA and Microsoft is estimated to hold a cost of approximately $100 million for the entire project. Serverless GPU space can reduce this cost by helping with inference phase of large language models (LLMs). Serverless…