Rahul Kumar @rahul_kumar_aws
Senior Software Engineer | FP | Scala | Big Data | Distributed and Reactive Systems Designer Singapore Joined December 2013-
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I am committed to producing reproducible #educational content for my students and all! I have been hunting down every schematic & borrowed figure in my course notes and... replacing them with well-documented #Python demonstrations with great plots, links to the codes that…
This repository contains everything you need to become proficient in #PyTorch, with 15 implemented projects — compiled by @NainaChaturved8 + See this book: amzn.to/3eC3x2p —— #DataScience #DataScientists #AI #MachineLearning #Python #DeepLearning github.com/Coder-World04/…
Just got a new MIT Professional Education credential via @Accredible for sgq.io/1Whrcyp via @MITProfessional
This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned…
@koltepatilltd After taking full payment of my apartment two month back @koltepatilltd is still not able to deliver my apartment in Mirablilis Bangalore. No one in @koltepatilltd is responding to my mails and calls. (1/2)
One of my favorite features in the upcoming #ApacheSpark 3.0 is Adaptive Query Execution (AQE), which tunes number of reduce tasks, join algorithms and skew joins automatically. Learn how it works and how it speeds up TPC-DS queries by up to 8x: databricks.com/blog/2020/05/2…
🌀New video by our #Akka team lead, @patriknw. This video illustrates how to implement #CQRS with #Akka 2.6 by reading tagged events. The video continues from where the #EventSourcing video left off. akka.io/blog/news/2020…
✏️📙#Akka Streams is a #ReactiveStreams implementation that provides backpressure to streaming workloads, avoiding overloading producers or consumers. Learn how it works: lightbend.com/white-papers-a…
💙📘Architects love #AkkaCluster because it lets them run their applications like a single system across multiple JVMs, nodes, and even data centers. Learn how it works in this white paper: lightbend.com/white-papers-a…
Using @playframework or #Slick in your #Scala projects? Here is a great read from @Yoco_ZA touching on their technical challenges and covering how #Hydra has helped defusing the eng team's frustration due to long #Scala compile times: triplequote.com/blog/case-stud… #WeekendRead
Data engineers can sleep easier knowing that human errors like unintentionally dropped rows or miscalculated columns are reversible using time travel. dbricks.co/wp190814a #DeltaLake
In this webinar with Fabio Tiriticco, we will explore how #Akka is the perfect companion to #Kubernetes, providing the application-level requirements needed to successfully deploy and manage your cloud-native services: lightbend.com/blog/akka-and-…
This 10-page [PDF] reference covers a semester's worth of introductory probability —⭐️The best #Probability Cheat Sheet that you may ever need: bit.ly/2GxLbBG by @wzchen and @stat110 📊📈 ————— #abdsc #BigData #DataScience #Statistics #StatisticalLiteracy
🎮Did you know that #Fortnite is powered by #Akka? So if you’re building online gaming for huge scale, check out how #Akka Cluster can help in this white paper: lightbend.com/white-papers-a…
This is so cool. + open source. @netflix 👏 "Polynote: a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more." 🤯 medium.com/netflix-techbl…
Cool work by my student @sppalkia. Many groups are building compilers for data & ML apps, but this is time-consuming and complex. @sppalkia shows you can get most of the speedup with existing library functions (NumPy, pandas etc) by managing data movement: dawn.cs.stanford.edu/2019/10/22/spl…
Data engineers can sleep easier knowing that human errors like unintentionally dropped rows or miscalculated columns are reversible using time travel. dbricks.co/wp190814a #DeltaLake
New tutorial!🚀#Keras vs. tf.keras: What's the difference in #TensorFlow 2.0?🤔Covers: - History of Keras & TF - Eager execution - Model subclassing - Best practices, tips, & suggestions Full tutorial w/ #Python code here: pyimg.co/d7rsb 👍 #DeepLearning #MachineLearning

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8.8M Followers 3K Following Mashable is for superfans. We're not for the casually curious. Obsess with us. We may earn affiliate commissions from products linked below.
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