…is associated with formulas and manufacturing recipes, and can be contrasted with discrete manufacturing, which is concerned with discrete units, bills of materials and the assembly of components. Examples of…
…is associated with formulas and manufacturing recipes, and can be contrasted with discrete manufacturing, which is concerned with discrete units, bills of materials and the assembly of components. Examples of…
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…images “One of the most impactful benefits that users will see from these changes is that users on Dropbox Professional and Dropbox Business Advanced and Enterprise plans can search for…
…message brokers like Apache Kafka, Redis, or ZeroMQ to exchange metadata and instructions between AI/ML components.” RedPajama: Reproduction of LLaMA with friendly license “We are excited to announce the completion…
By: Bart Baesens, Seppe vanden Broucke This QA first appeared in Data Science Briefings, the DataMiningApps newsletter as a “Free Tweet Consulting Experience” — where we answer a data science…
Sponsored article contributed by: SAS Belgium This article first appeared in Data Science Briefings, the DataMiningApps newsletter. Subscribe now for free if you want to be the first to receive…
…when predicting the variance that cannot be contributed to any seasonal or trend component3. Therefore, we can, for example, apply differencing and/or seasonal differencing on the data beforehand, depending on…
…data set: X_train, X_test, y_train, y_test = train_test_split(data.loc[:, data.columns != ‘Churn’], data.Churn, test_size=0.33, stratify=data.Churn) clf = RandomForestClassifier(n_estimators=100) plt.figure() plt.xlim([0.0, 1.0]) plt.ylim([0.0, 1.05]) plt.xlabel(‘False Positive Rate’) plt.ylabel(‘True Positive Rate’) plt.title(‘ROC’) plt.plot([0,…
…dangerous to think of these quick wins as coming for free. Using the software engineering framework of technical debt, we find it is common to incur massive ongoing maintenance costs…
…and environmentally unsustainable. Thus, continued progress in these applications will require dramatically more computationally-efficient methods, which will either have to come from changes to deep learning or from moving to…