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OUR SPEAKERS

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Introducing Hila, a distinguished algorithm expert and researcher with over a decade of experience in the AI field. She holds a summa cum laude master's degree from BIU NLP lab and has published her groundbreaking work at top academic events like EMNLP. Hila's contributions have significantly advanced call center call analysis algorithms, leading to five US patents and academic posters showcased at various prestigious venues.

For the past four years, Hila has been a senior data scientist and guild master at Outbrain, focusing on large-scale super-fast algorithms for the native ads domain. Alongside her technical expertise, she is passionate about sharing knowledge and has spoken at numerous local meetups and international conferences.

Hila Weisman-Zohar

Senior Data Scientist
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English, Hebrew
Languages:
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Location:
Hasharon , Israel
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Can also give an online talk/webinar
Paid only. Contact speaker for pricing!

MY TALKS

NLP : Past, Present & Future

Data / AI / ML

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Not everyone knows this but Natural Language Processing (NLP) is a field that has been around since the 1950's. In this talk I will give an overview of the development of the field from its linguistic roots all the way to the BERT monsters of today. We will go over some of the challenges of processing texts as opposed of images, learn what's the difference between Lemmatization and Stemming and see why CNN networks will just not work for German..

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Navigating the Sea of Information with Recommender Systems

Data / AI / ML

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Recommender systems are ubiquitous in our daily lives, from Netflix movie suggestions to product recommendations on Amazon. These systems use algorithms to analyze user data and make personalized recommendations based on past behavior.

In this introductory talk, we will explore the basics of recommender systems, including collaborative filtering, content-based filtering, and hybrid approaches. We will also discuss the challenges and ethical considerations involved in developing and deploying these systems.

By the end of the talk, attendees will have a basic understanding of how recommender systems work and the potential benefits and drawbacks of relying on them to make decisions. Whether you are a student, researcher, or industry professional, this talk will provide a useful introduction to this important field.

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Hands-on Workshop: Introduction to Deep Learning

Data / AI / ML

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Deep learning has revolutionized the field of artificial intelligence, enabling breakthroughs in image recognition, natural language processing, and many other applications. In this workshop, you will learn the fundamentals of deep learning using TensorFlow, one of the most popular deep learning frameworks. The workshop will be hands-on, with participants working through a series of Jupyter notebooks that introduce the basic concepts of deep learning and how to implement them using TensorFlow.

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A Small Introduction to Large Language Models

Data / AI / ML

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This talk provides a brief yet insightful overview of large language models in Natural Language Processing (NLP). We'll explore their historical origins, from early rule-based systems to modern deep-learning approaches. The fundamental elements, including attention mechanisms, neural networks, and transformer architectures, will be highlighted, along with the significance of pre-training and fine-tuning. By the end, participants will grasp the transformative impact of large language models on NLP and their potential for future advancements.

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NLP : Past, Present & Future

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Navigating the Sea of Information with Recommender Systems

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Hands-on Workshop: Introduction to Deep Learning

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A Small Introduction to Large Language Models

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