Centre for Financial Research and Advisory

https://www.analyticsinsight.net/how-to-use-r-to-build-and-deploy-ai-models/

How to Use R to Build and Deploy AI Models? Uncover the intricacies of deploying AI models with R on Google Vertex AI in this detailed guide, offering a comprehensive roadmap.

🔍 Explore the Future of Data Science! 🌐 Ready to ditch drag-and-drop for raw power? My latest article unveils the command-line secrets for agile data analysis. Learn OSEMN, obtain, scrub, explore, model, and interpret with precision. Command line, where efficiency meets mastery. Read more: [https://data-intelligence.hashnode.dev/hack-efficiency-command-line-data-science]

Command Line Data Science: Hack Efficiency From novice to data Jedi: Your roadmap to mastering command line data science and conquering any data challenge.

IITMadras and NSM Nodal Center are organizing an HPC Research Week to host
thematic research presentations from faculty members and researchers across
the country. The event is online and free for everyone to join. There are
multiple expectations from such a setup: (i) knowing the work being done in
various institutions and labs (ii) faculty members, industry, and students
can find opportunities to collaborate (iii) potential scholars can apply to
these faculty members, etc.

Six days of research talks on Aerospace, Biology, Chemical, Computers,
Mathematical, and Mechanics. from November 20-25.

Register here: http://www.cse.iitm.ac.in/~rupesh/events/resweek23/

Request for a wide publicity to your contacts. If you are on LinkedIn, please
share this post

NSM HPC Research Week

AI Docker: Revolutionizing the Deployment of Machine Learning Models AI Docker: Revolutionizing the Deployment of Machine Learning Models TS2 SPACE

🚀 Diving into the World of Machine Learning and Deep Learning Environments: Virtual Environments vs. Containers! 🛠️🐳

Are you new to the world of ML and DL? Navigating through tools and tech can be a bit overwhelming, especially when it comes to setting up environments. 🤔 Should you go for Virtual Environments or Containers?

🔍 In our latest blog post, we break down the pros and cons of each approach. Discover why containers, especially Nvidia's enroot, might be the game-changer you're looking for! 💡

Key Takeaways:
1️⃣ Virtual Environments vs. Containers: Understanding the Basics
2️⃣ Energy Efficiency Spotlight: Why Containers Shine!
3️⃣ Types of Containers - Choosing the Right Fit
4️⃣ Deep Dive into Nvidia's Enroot: Advantages & Considerations
5️⃣ Enroot Without an Nvidia GPU? Absolutely Possible!

Read the full article and level up your ML/DL game! 🚀👩‍💻

Virtual Environments vs. Containers: A Beginner's Guide Discover the best environment for beginners in machine learning: virtual environments vs. containers. Learn about efficiency, portability, & Nvidia's enroot

https://opensource.com/article/20/9/calendar-jupyter

Improve your time management with Jupyter Python has incredibly scalable options for exploring data. With Pandas or Dask, you can scale Jupyter up to big data. But what about small data? Personal data? Private data? [OS_EMBEDDED_MENU_RIGHT:]JupyterLab and Jupyter Notebook provide a great environment to scrutinize my laptop-based life.

https://neptune.ai/blog/hyperparameter-tuning-in-python-a-complete-guide-2020/amp

Hyperparameter Tuning in Python: a Complete Guide 2020 - neptune.ai Choosing the correct hyperparameters for machine learning or deep learning models is one of the best ways to extract the last juice […]

http://eyeriss.mit.edu/tutorial.html

Tutorial on Hardware Accelerators for Deep Neural Networks We will be giving a two day short course on Designing Efficient Deep Learning Systems on July 20-21, 2020 (Live Virtual). To find out more, please visit MIT Professional Education.

There are more than 100 companies all over the world building ASICs (Application Specific Integrated Circuit) or SOC’s (System on Chip) targeted towards deep learning applications.

basicmi/AI-Chip A list of ICs and IPs for AI, Machine Learning and Deep Learning. - basicmi/AI-Chip

https://ubuntu.com/blog/getting-started-with-cuda-on-ubuntu-on-wsl-2

Getting started with CUDA on Ubuntu on WSL 2 | Ubuntu At Build 2020 Microsoft announced support for GPU compute on Windows Subsystem for Linux 2. Ubuntu is the leading Linux distribution for WSL and a sponsor of WSLConf. Canonical, the publisher of Ubuntu, provides enterprise support for Ubuntu on WSL through Ubuntu Advantage. This guide will walk earl...

Windows Subsystem for Linux 2 / WSL 2
At Build 2019, Microsoft had announced Windows Subsystem for Linux 2, which ships a full Linux kernel, allowing you to run Linux commands and apps. For instance, you can even go ahead and compile LineageOS using WSL on Windows.

Now, Microsoft has announced multiple major changes to the WSL:

Added support for graphics processing unit (GPU) compute workflows allows Linux tools to leverage GPUs to enable hardware acceleration for many development scenarios, such as parallel computation and training machine learning (ML) and artificial intelligence (AI) models.
Support for Linux graphical user interface (GUI) apps will enable you to open a WSL instance and run a Linux GUI app directly without the need for a third-party X server. This will help you to run your favorite apps in a Linux environment such as an integrated development environment (IDE).
WSL will soon support a simplified install experience by running the command ‘wsl.exe – install,’ which will make it easier than ever to start using Linux apps on Windows.
With these upcoming changes to WSL 2, users no longer need to run an X server to use Linux apps with GUIs. Linux apps will also now run much more seamlessly on Windows

Microsoft announces Terminal 1.0, Windows Package Manager, and more changes As part of Build 2020, Microsoft has announced a slew of new features like Windows Terminal 1.0, Windows Package Manager, and Windows Subsystem for Linux 2.

Youtube list of free videos on AI, ML, DL lectures...

Free AI, ML, Deep Learning Video Lectures | MarkTechPost Free AI, ML, Deep Learning Video Lectures. Find Artificial Intelligence, Machine Learning, Deep Learning Online Lectures Videos