Google Maps Turns 15: With Artificial Intelligence, It’s Only Getting Better

Google Maps has revolutionised how one travels around the world. Ever since its launch in 2005, Google maps have improved tremendously and today they can be used to view a street in 360 degrees, locate remote places, find safer and…

SageMaker Can Be Used Without Machine Learning Experience: Denis Batalov, AWS

Several businesses struggle with getting machine learning into production. Although many have completed their pilot efforts, businesses actually found it difficult to implement it actually into production.  Even though the industry seems to be interested in machine learning, according to…

LG Introduces Auptimizer To Help Data Scientists Speed Up ML Model Tuning

While building a machine learning model, there is always the problem of underfitting and overfitting. Finding a sweet spot between these two requires diligent hyperparameter tuning. Researchers from top organisations and academia have been doing a lot in order to…

Comparing Label Encoding And One-Hot Encoding With Python Implementation

As machine learning algorithms most often accept only numerical inputs, it is important to encode the categorical variables into some specific numerical values. In this article, we compare the label encoding and one-hot encoding techniques by implementing it in Python.…

10 Algorithms Every Machine Learning Enthusiast Should Know

It is very crucial for the machine learning enthusiasts to know and understands the basic and important machine learning algorithms in order to keep themselves up with the current trend. In this article, we list down 10 basic algorithms which…

How Do Machine Learning Algorithms Differ From Traditional Algorithms?

Machine learning is an algorithm or model that learns patterns in data and then predicts similar patterns in new data. For example, if you want to classify children’s books, it would mean that instead of setting up precise rules for…

How Cellular Features Improve ML Accuracy In Phenotyping

Research and discoveries in cell biology have come a long way. Improvements in biological equipments, especially in the area of microscopy, have risen to a cutting-edge level. The precision in obtaining images on a microscopic scale is astonishing. These advances…

Should One Manually Code Algorithms When ML Libraries Exist

Building a machine learning algorithm is not a job which data scientists usually perform. In fact, according to a post by a data science enthusiast, it is a job that needs to be performed by “three genres of engineers” from…

Why You Should First Learn Linear Algebra Before You Ace Machine Learning

Just like a solid foundation is essential to a building, linear algebra forms an essential learning segment for machine learning (ML). Areas of mathematics such as statistics and calculus require prior knowledge of linear algebra, which will help you understand…

Infographic: 10 Machine Learning Algorithms Every Data Scientist Should Know

With artificial intelligence and machine learning gaining popularity over last couple of years, more companies are seen adopting the idea, and tech enthusiast taking a hang of the concept. From the machine learning algorithms of Netflix to the use of…

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