Machine Learning Workshop Series - Part 1

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Machine Learning Workshop Serie - Part 1

Proud to announce our collaboration with Elie Dina, a data scientist and NLP Engineer, in a series of sessions about Machine Learning 🤖.

Data science, a revolutionary field joining knowledge in Math 🧮, CS 💻 and Business 💰, is making great steps towards the future nowadays.

To introduce you to this field, a hands-on 🤝 webinar will be made just for you!

Going from the data science lifecycle onto different Machine Learning models💻that can help you achieve basic and complex tasks ✅.

This webinar will be divided into 4 sessions.

The first session, we will be dealing with: 
--> Data Types
--> Data Acquisition
--> Databases / Data Warehouses / Data Lakes
--> Data Science Processing Lifecycle:

. Pre-processing / Cleaning 🧹
. Exploratory Data Analysis 🧠
. Visualization 📊

#IEEEULFS2


  Date and Time

  Location

  Hosts

  Registration


  • Date: 16 Apr 2024
  • Time: 07:30 PM to 09:00 PM
  • All times are (UTC+03:00) Kuwait
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  • Contact Event Hosts
  • Starts 10 April 2024 12:00 PM
  • Ends 16 April 2024 03:45 PM
  • All times are (UTC+03:00) Kuwait
  • No Admission Charge

  Speakers

Mr Elie Dina

Topic:

Machine Learning Workshop Series - Part 1

Biography:

Mr. Elie Dina is a seasoned professional in the realm of data science and machine learning, boasting a rich experience spanning over two years. His expertise encompasses a wide array of skills and accomplishments, including the adept utilization of statistical methodologies and machine learning techniques to dissect and model datasets of varying sizes, from modest to extensive scales. He has successfully navigated the intricacies of deploying machine learning models within production environments, demonstrating a keen proficiency in implementing these solutions effectively.

With a versatile background, Mr. Dina has ventured into diverse industries, leaving an indelible mark in sectors such as environmental studies and e-commerce. His toolset includes mastery in programming languages like Python and R, coupled with a deep understanding of pivotal machine learning libraries and frameworks such as scikit-learn, TensorFlow, and Keras. Beyond technical prowess, Mr. Dina excels in communication, effortlessly conveying complex technical concepts to non-technical stakeholders and delivering data-driven insights with precision to decision-makers.

 

Address:France