Free Data Science Workshop In Hyderabad: 5 Reasons Why You Should Register Right Now!

Free Data Science Workshop In Hyderabad: 5 Reasons Why You Should Register Right Now!
Free Data Science Workshop In Hyderabad: 5 Reasons Why You Should Register Right Now!

India’s largest NSE listed Cloud services provider: E2E Network in association with technology major NVIDIA is conducting a free data science workshop in Hyderabad on January 24th, 2020.

Here are the 5 reasons why should register for this workshop right now:

Reason #1: End-To-End Acceleration Of Data Science With GPU

Today’s data science experts and developers need speed. 

With an enormous amount of data to be processed, and deadlines become dearer, speed is the essence that will drive growth and productivity in today’s data-fuelled digital world. 

What if we tell you that your GPU can drive faster data science operations, without disrupting your present IT ecosystem? Don’t believe? Attend this free data science workshop to know more about it..

Reason #2: Getting Started WIth NVIDIA GPU Cloud (NGC)

NVIDIA’s GPU Cloud is a path-breaking innovation, which is accelerating innovation, globally. Imagine a hub for GPU-optimized software that optimizes deep learning, machine learning, and high-performance computing. 

Imagine a GPU Cloud solution. which takes care of every aspect related with speed, so that data scientists and developers can focus on building applications that can change everything. Not believing? Attend this free data science workshop!

Reason #3: Understanding RAPID Open Data Science Frameworks

Incubated by NVIDIA, RAPIDS is an open-source suite of libraries and APIs, which empower data scientists to execute end-to-end data science and analytics pipelines entirely on GPUs. 

Using user-friendly Python interfaces, developers of data science can now experience GPU parallelism and high-bandwidth memory speed and more. 

Seems interesting? Why don’t you join this workshop?

Reason #4: Working With cuDF, cuML and cuGraph

This workshop will share interesting insights and methodologies related with cuGraph (which a RAPIDS Graph Analytics Library); cuML ( RAPIDS library for machine learning) and cuDF (Python-based GPU DataFrame library)

Reason #5: Data loading, feature engineering, and ML model training with XGBoost & other algorithms

XGBoost is a decision-free based ensemble Machine Learning algorithm, which uses a gradient boosting framework. In the workshop, instructors will show you how XGBoost and other related algorithms can help you with data loading, feature engineering and ML Model training.

Seems exciting?

Here is your chance to learn and understand these fascinating data science topics and take your knowledge and expertise to the next level.

Register here.

PS: There are some prerequisites for this data science workshop, which will help you to grasp the concepts seamlessly. Checkout the list here.

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