Category: datascience

Automating Security & Privacy Controls for Data Science & BI – Webinar

Automating Security & Privacy Controls for Data Science & BI – Webinar = Previous post    Tags: Automation, Data Science, Databricks, Immuta, Privacy, Security, Webinar Moving sensitive data to the Cloud introduces the possibility of exposing data teams to new levels of risk, making it challenging to manage and prepare sensitive data for data science …


5 Fantastic Natural Language Processing Books

5 Fantastic Natural Language Processing Books = Previous post    Tags: Books, NLP This curated collection of 5 natural language processing books attempts to cover a number of different aspects of the field, balancing the practical and the theoretical. Check out these 5 fantastic selections now in order to improve your NLP skills. By Matthew …


Essential Resources to Learn Bayesian Statistics

Essential Resources to Learn Bayesian Statistics = Previous post    Tags: Bayesian, Machine Learning, Markov Chain, Statistics If you are interesting in becoming better at statistics and machine learning, then some time should be invested in diving deeper into Bayesian Statistics. While the topic is more advanced, applying these fundamentals to your work will advance …


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Building a Content-Based Book Recommendation Engine

Building a Content-Based Book Recommendation Engine = Previous post    Tags: Python, Recommendation Engine, Recommender Systems In this blog, we will see how we can build a simple content-based recommender system using Goodreads data. comments By Dhilip Subramanian, Data Scientist and AI Enthusiast If we plan to buy any new product, we normally ask our …


Top Stories, Jul 20-26: Data Science MOOCs are too Superficial

Top Stories, Jul 20-26: Data Science MOOCs are too Superficial = Previous post Next post =>    Tags: Top stories Also: Easy Guide To Data Preprocessing In Python; Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook; Recurrent Neural Networks (RNN): Deep Learning for Sequential Data; How Much Math do you need …


Is depth useful for self-attention?

Is depth useful for self-attention? = Previous post Next post =>    Tags: Attention, BERT, Deep Learning, Research, Scalability, Transformer Learn about recent research that is the first to explain a surprising phenomenon where in BERT/Transformer-like architectures, deepening the network does not seem to be better than widening (or, increasing the representation dimension). This empirical …


Deep Learning for Signal Processing: What You Need to Know

Deep Learning for Signal Processing: What You Need to Know = Previous post    Tags: Deep Learning, Neural Networks Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting to make some waves …