#javaml نتائج البحث
Have you read this yet? If not, go read it you will thank me later get it here - amazon.com/dp/1098134354?… (aff)
 
                                            🚀 Java with JMH for Benchmarking 🚀 Create a benchmark class to measure the performance of specific code. 🔥 github.com/openjdk/jmh
 
                                            Maven is an build lifecycle management tool for Java Applications.
Java Performance Optimisation Overview 👉 → JVM memory model: Heap, stack and metaspace → Garbage Collectors: G1 and ZGC for large heaps → Prefer StringBuilder: Avoid repeated string copying → Thread pools: Reuse threads and reduce CPU stress → Avoid synchronized blocks…
 
                                            En 2016 nacimos. Hicimos comunidad, JaverosCol 2018, En 2020 nos dijeron “no se podía”. Respondimos con 12+ charlas en pandemia, volvimos híbridos y hoy #DEVJVM reúne 21+ speakers. Gracias @javamexico, @perujug, @soujava, @java_gdl, @guatejug, @JUGCOSTARICA, @caribedev y más.
 
                                            ☆92 - Automated the data generation process for my JCM project (coded the whole day!) - Completed kaggle DL course - Completed till underfitting and overfitting in kaggle's ML course - Went through the slides of Intro to QML
 
                                             
                                             
                                             
                                            Javascript, HTML and CSS standards will be merged together to make JavaMLCSS. A language to build deep learning models with HTML and CSS.
 
                                            Killing YAML is a noble goal. But replace it with what, exactly?
Some early HC employees will probably remember me joking that it was my divine mission to eliminate YAML from the world. I joked I started HC only to kill YAML. Like, back in 2013. And we (as an industry) were so close! Then Kubernetes came out and fucked it all up.
📅 Term of the Day: Deeplearning4j 🚀 #JavaML #DeepLearning #AI #DataScience #OrangeAVA #AVA #Technology #Follow #Development
 
                                            What's your favorite YAML alternative?
--- - Kubernetes uses YAML - Helm uses YAML - ArgoCD uses YAML - Ansible uses YAML - GitHub Action uses YAML - Gitlab CI uses YAML - Azure DevOps uses YAML Terraform uses YAML - GCP cloud build uses YAML Get good at YAML
3/8: 🛠️ Java's flexibility shines in feature engineering. Using #Weka, you can create new features, e.g., converting text data into numerical features. Transform your data to better suit machine learning algorithms. #FeatureEngineering #JavaML 👉cs.waikato.ac.nz/ml/weka/
 
                                            Building AI models with Weka? This Java-based ML toolkit is perfect for: Classification Clustering Regression Simple UI + powerful backend = great for beginners & pros alike. #Weka #JavaML #DataScience
📅 Term of the Day: Deeplearning4j 🚀 #JavaML #DeepLearning #AI #DataScience #OrangeAVA #AVA #Technology #Follow #Development
 
                                            3/8: 🛠️ Java's flexibility shines in feature engineering. Using #Weka, you can create new features, e.g., converting text data into numerical features. Transform your data to better suit machine learning algorithms. #FeatureEngineering #JavaML 👉cs.waikato.ac.nz/ml/weka/
 
                                            # Classes and Interfaces in #JavaML javasearch.buggybread.com/home.php?keywo…)
What java #machinelearning libraries u know besides #Weka, #javaML and #ApacheMahout? Any alternative?
Açık kaynak Java Machine Learning kütüphanesi #JavaML java-ml.sourceforge.net
Machine Learning and Kaggle Digit Recognizer Competition softwarepassion.com/machine-learni… #java #JavaML #RandomForestAlgorithm #classification
Some Java based AI Frameworks: #Encog, #JavaML, #Weka goo.gl/fb/vgeH5 #desktopjava
📅 Term of the Day: Deeplearning4j 🚀 #JavaML #DeepLearning #AI #DataScience #OrangeAVA #AVA #Technology #Follow #Development
 
                                            3/8: 🛠️ Java's flexibility shines in feature engineering. Using #Weka, you can create new features, e.g., converting text data into numerical features. Transform your data to better suit machine learning algorithms. #FeatureEngineering #JavaML 👉cs.waikato.ac.nz/ml/weka/
 
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