Machine Learning

This is a part of the series of blog posts related to automated creation of Machine Learning Models and Datasets used for training Neural Networks. If you are interested in the background of the story or the Python code before it, you may scroll to the bottom of the post…

Data Scientist vs. Data Analyst vs. Data Engineer vs. ML Engineer vs. MLOps Engineer vs. [insert your fancy role title here]… — Let me start this blog by clarifying that I do not consider myself a data scientist nor a technical expert, but I have gained a pragmatic perspective on the various roles in this space through my experiences in leading AI & data science projects and building up and managing teams…

“If we really want to build a machine on the verge of human-level intelligence, we need to ditch current statistical and data-driven learning paradigm in favour of a causal-based approach.” In the 1970s and early 1980s, computer scientists believed that the manipulation of symbols provided a priori by humans was…

I am writing this blog to let you know how I managed to secure PhD offers from some of the most selective programs for PhD in Computer Science. If anyone is looking for general guidance on how to get a good PhD offer, they can have a look at my…

Herkese Merhaba, Bu yazımda Label Studio’yu tanıtacağım. Label Studio, Heartex şirketi tarafından sunulan açık kaynaklı esnek bir veri etiketleme aracıdır. Label Studio ile görüntü, ses ve metin gibi birçok türdeki verilerinizi farklı görevler için etiketleyebilirsiniz.

Neural networks are one of the greatest innovations in modern machine learning, with demonstrated abilities to produce mind-boggling imagery, meaningful text, decent translations, and numerous other feats that were inconceivable even a decade ago. Inasmuch as neural network practitioners care about theory — theoretical understanding of neural networks is notoriously…

Federated learning (FL) is a machine learning paradigm where many clients (e.g., edge servers or mobile/IoT devices) collaboratively train a model while keeping the training data decentralized. It has shown huge potential in mitigating many of the systemic privacy risks, regulatory restrictions, and communication costs resulting from traditional, over-the-cloud machine…

Using a machine learning model to predict the price of listings and investigate features that affect pricing the most. — Introduction Airbnb has revolutionized the hospitality industry by providing a home away home for many travelers and tourists visiting a new city or going back to a favourite city. Today many travelers prefer to book Airbnbs rather than hotels. Airbnb connects hosts; people looking to rent out spaces in their homes…