Brainwaves on Paper
Artificial Intelligence Solutions Architect • Experienced Machine Learning Researcher • Woman in AI • Educator • Developer
Explore the canvas of our scholarly pursuits and groundbreaking insights. Featured across prestigious journals and influential forums, underscoring our commitment to advancing the field. Dive into a curated collection that not only celebrates our achievements but also sets the benchmark for future explorations in our realm
ML and NLP Research
Discover Tatev's research, highlighted by the Association for Computing Machinery (ACM).
Glimpse into Innovative Approach to Enhance Recommender Systems
Embark on a transformative journey into recommender systems with Tatev’s research in the ACM SIGAPP. Tatev introduces the LDA-LFM fusion—an innovative scalable hybrid recommender algorithm that combines Latent Factor Models (LFM) rating modelling algorithm with Latent Dirichlet Allocation (LDA) topic modelling algorithm. By harnessing textual reviews and ratings, this algorithm breaks traditional limits, enhancing recommendation quality. Tatev’s algorithm extension, including user- and item-specific data, amplifies its effectiveness for small and large datasets for personalized recommendations.
Elevating E-commerce Recommenders
Another Glimpse into Tatev’s Innovation to Enhance Recommender Systems
Delve into the realm of advanced scholarly insights through Tatev’s pioneering research spotlighted within the ACM journal. In this pioneering endeavor, Tatev introduces an innovative methodology that harnesses semantic representations to enhance e-commerce product recommendations. By tapping into the power of semantics, this inventive technique propels hybrid recommendation systems to unprecedented heights, ensuring that customers receive product recommeneration that are highly likely interested in by using the power of NLP and Machine Learning.
Highlights on Industry's
Delve into a curated collection of Tatev's most impactful articles and online publications.
Each handpicked and showcased on the industry's most respected platforms.
Machine Learning Handbook
Key Concepts, Algorithms, and Python Code Examples
Dive deep into the world of Machine Learning, foundation of AI, with all key Machine Learning algorithms, concepts and example of ML models trained in Python as presented by Tatev. This book on FreeCodeCamp, serves as a one-stop-shop for both beginners and seasoned professionals, for all key ML concepts essential for AI success. From the basics of ML model types as supervised vs unsupervised and classification vs regression, to intricate topics like Random Forest, XGBoost, Adam Optimizer, Tatev’s guide ensures a holistic and detailed understanding. Whether you’re starting your AI journey or seeking a comprehensive refresher, this piece is your gateway to harnessing ML’s true potential.
The Data Science and AI Handbook
How to Start a Career in Data Science and AI
Dive deep into the world of Data Science and Artificial Intelligence with Tatev’s comprehensive handbook published at FreeCodeCamp. This handbook is meticulously crafted for professionals eager to harness the transformative power of AI and data-driven solutions. Whether you’re a seasoned expert or just starting out, this guide offers a wealth of knowledge to enter and succeed in your data career and explore various ways Data Science and AI is used worldwide to improve businesses and shape organizations.
Fundamentals Of Statistics For Data Scientists and Analysts
Dive deep into the world of statistics tailored for data scientists and analysts, as presented by Tatev. This article on Medium, serves as a one-stop-shop for both beginners and seasoned professionals, for all key statistical concepts essential for data-driven success. From the basics of random variables and probability distribution functions to intricate topics like dimensionality reduction techniques, Tatev’s guide ensures a holistic understanding. Whether you’re kickstarting your data journey or seeking a comprehensive refresher, this piece is your gateway to harnessing data’s true potential. Embark on this enlightening journey and empower your data-driven decisions with solid statistical foundations.
The A/B Testing Handbook
Complete Guide to A/B Testing Design, Implementation and Pitfalls
In this inclusive guide, you will learn everything you need to know about A/B testing and randomized control trials from business and technical (statistical) point of view, from scratch. Regardless of your background, this handbook equips you with the necessary knowledge and tools to successfully undertake A/B testing for your data science experiments.
It’s and end-to-end guide with examples, technical details, step-by-step Python implementations to not only give you glimpse of theory but full guide with practical implamentation.