Have you read this yet? If not, go read it you will thank me later get it here - amazon.com/dp/1098134354?… (aff)

javarevisited's tweet image. 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

mnhocktweets's tweet image. 🚀 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…

iamsaquibdev's tweet image. 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.

JUGBAQ's tweet image. 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

Physicla_'s tweet image. ☆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
Physicla_'s tweet image. ☆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
Physicla_'s tweet image. ☆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
Physicla_'s tweet image. ☆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

The 2020 Java Developer RoadMap #Java #100DaysOfCode

javinpaul's tweet image. The 2020 Java Developer RoadMap  
#Java #100DaysOfCode

Javascript, HTML and CSS standards will be merged together to make JavaMLCSS. A language to build deep learning models with HTML and CSS.

cucfish_'s tweet image. 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.



The RoadMap to become Java Developer Guru/Master/Expert

javinpaul's tweet image. The RoadMap to become Java Developer Guru/Master/Expert

・今日Xのおかげで知り得たこと ジャワカレーのスペルが JAWAではなくJAVAだということ。

misojiyuu's tweet image. ・今日Xのおかげで知り得たこと
ジャワカレーのスペルが
JAWAではなくJAVAだということ。

here's your java app bro the full power of the jvm at display


The best way to map MonetaryAmount with JPA and Hibernate vladmihalcea.com/monetaryamount…

vlad_mihalcea's tweet image. The best way to map MonetaryAmount with JPA and Hibernate

vladmihalcea.com/monetaryamount…

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/

amdespotopoulou's tweet image. 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


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/

amdespotopoulou's tweet image. 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/

What java #machinelearning libraries u know besides #Weka, #javaML and #ApacheMahout? Any alternative?


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/

amdespotopoulou's tweet image. 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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