Text Similarity using K-Shingling, Minhashing and LSH(Locality Sensitive Hashing)
Author(s): Supriya Ghosh Natural Language Processing Text Similarity using K-Shingling, Minhashing, and LSH(Locality Sensitive Hashing) Text similarity plays an important role in Natural Language Processing (NLP) and there are several areas where this has been utilized extensively. Some of the applications include …
Introduction to Numpy in Python
Author(s): sonia jessica Originally published on Towards AI. Programming Introduction to Numpy in Python What is NumPy? NumPy stands for numeric python, a Python module that allows you to compute and manipulate multi-dimensional and single-dimensional array items. It comes with a high-performance …
Introduction to Numpy in Python
Author(s): sonia jessica Programming What is NumPy? NumPy stands for numeric python, a Python module that allows you to compute and manipulate multi-dimensional and single-dimensional array items. It comes with a high-performance multidimensional array object as well as utilities for working with them. In …
The Era of the Mathematician Has Arrived
Author(s): Keith McNulty Only those with a math background can truly make sense of the tsunami of analytics that is already on our shores Continue reading on Towards AI » Published via Towards AI …
What Uber Learned from Building Its Own Machine Learning Platform?
Author(s): Jesus Rodriguez Some lessons learned after a few years of running Michelangelo. Continue reading on Towards AI » Published via Towards AI …
Lenovo Launches Next-Generation of Data Science Workstations
Author(s): Towards AI Team Source: Lenovo In a world where the data growth rate is growing exponentially, using artificial intelligence (AI) to help businesses make more educated decisions is a useful tool. Ninety percent of the world’s data has been created in …
Separate Voice, Music, and Sound Effects With AI
Author(s): Louis Bouchard If we take an audio clip with the music way too loud, you can simply turn up the speech and lower the music! Continue reading on Towards AI » Published via Towards AI …
3 Under-The-Radar Sectors That Will Be Revolutionized By AI
Author(s): Aashish Nair Artificial Intelligence Explore the underrated applications of artificial intelligence that will transform our society Photo by Tara Winstead from Pexels When it comes to hype, the tech industry has always been a go-to source. As we endure our mundane, repetitive lifestyles, …
The Four Pillars of Trusted AI
Author(s): Jesus Rodriguez A research from IBM establishes the four fundamental elements to build trusted AI systems. Continue reading on Towards AI » Published via Towards AI …
The CS Book Club: Designing Data-Intensive Applications
Author(s): Jag Singh As software engineers, it’s extremely important to stay up-to-date on the latest technologies and developments in our field. Continue reading on Towards AI » Published via Towards AI …
Smart Edge Cam with Gesture Alarm
Author(s): Anand P V IoT Gesture Triggered Alarm for Security based on CV, Vector Concavity Estimation, OpenVINO, MQTT, and Pimoroni Blinkt on RPi or Jetson Nano. Notwithstanding notable advancements in technology, the developing economies are still trapped in the clutches of patriarchal evils …
Six warnings You Ignore That Might Put Image Classification Dataset at risk
Author(s): Gaurav Sharma Deep Learning “Opportunity never knocks twice,” as the saying goes, but in the hands of image annotators, this clear-cut leaflet will assist the data scientists in addressing gaps in the training datasets that were left neglected or disregarded throughout …
Big Data Analytics: A Viable Solution To All Healthcare Problems
Author(s): Gaurav Sharma Data Analytics Image by Cogito Tech LLC The term “Big Data” is extremely popular across the globe. It is the new key raw material for the healthcare industry, which is helping Artificial Intelligence (AI) and machine learning algorithms to properly …
3 Different Approaches for Train/Test Splitting of a Pandas Dataframe
Author(s): Angelica Lo Duca A short tutorial on how to split a dataset into training and test sets through scikit-learn, pandas, or NumPy builtin functions Continue reading on Towards AI » Published via Towards AI …
All You Need to Know to Start with Deep Learning
Author(s): Florian Glufke An efficient and practical way to start Deep Learning Continue reading on Towards AI » Published via Towards AI …
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