Bias Variance Trade-off

https://cdn-images-1.medium.com/max/2600/0*2MWpNw3BVeoOpfkn Original Source Here Bias Variance Trade-off Learn about bias, variance and total error relationship to model complexity and overfitting/underfitting. Photo by Maxim Hopman on Unsplash Bias-variance trade-off is an important concept that everyone in the machine/deep learning field should know. Regardless of which application area you plan to apply your models to, these conceptsContinue reading “Bias Variance Trade-off”

5 things to check even before you get started on a Data Science project

https://cdn-images-1.medium.com/max/2600/0*CnxBg2oZFoNFvYuz Original Source Here Today’s blog is focussed on the key topic of what are those 5 things to be checked even before you get started on a data science project Is application of AI or ML required at the first place This is the most important question that one need to ask themselves evenContinue reading “5 things to check even before you get started on a Data Science project”

Bias Variance Trade-off

https://cdn-images-1.medium.com/max/2600/0*2MWpNw3BVeoOpfkn Original Source Here Bias Variance Trade-off Learn about bias, variance and total error relationship to model complexity and overfitting/underfitting. Photo by Maxim Hopman on Unsplash Bias-variance trade-off is an important concept that everyone in the machine/deep learning field should know. Regardless of which application area you plan to apply your models to, these conceptsContinue reading “Bias Variance Trade-off”

A Complete Beginners Guide to Data Visualization in ggplot2

https://cdn-images-1.medium.com/max/2600/0*-FowPtUE3KNvUkms Original Source Here A Complete Beginners Guide to Data Visualization in ggplot2 It’s a Rich Library. Start Using It Today For R user ggplot2 is the most popular visualization library with a huge number of graphics available. It is simple to use and is able to generate complex plots with simple commands fast. ForContinue reading “A Complete Beginners Guide to Data Visualization in ggplot2”

A Primer for Bayesian Deep Learning – Part 1

Original Source Here A Primer for Bayesian Deep Learning – Part 1 In modern practice, neural networks and non-parametric methods such as Gaussian processes with millions of parameters are optimised to fit datasets. It’s an open question on the generalization of such large models but it is evident that such models are very expensive toContinue reading “A Primer for Bayesian Deep Learning – Part 1”

KDD 19′: Heterogeneous Graph Neural Network

Original Source Here KDD 19′: Heterogeneous Graph Neural Network 🤗 Recommendation system paper challenge (28/50) paper link 🤔 What problem do they solve? They would like to generate Heterogeneous Graph embedding consisting of graph structure information and node content information. 😮 What are the challenges? Few of them can jointly consider heterogeneous structural (graph) informationContinue reading “KDD 19′: Heterogeneous Graph Neural Network”

Incoming White House science and technology leader on AI, diversity, and society

https://venturebeat.com/wp-content/uploads/2021/01/alondra-nelson.png?w=1800&strip=all Original Source Here Technologies like artificial intelligence and human genome editing “reveal and reflect even more about the complex and sometimes dangerous social architecture that lies beneath the scientific progress that we pursue,” said Dr. Alondra Nelson today as part of the introduction of the Biden administration science team. On Friday, the Biden transitionContinue reading “Incoming White House science and technology leader on AI, diversity, and society”

An Intuitive Interpretation of Bayes’ Theorem

Original Source Here An Intuitive Interpretation of Bayes’ Theorem Bayes’ Theorem is a central principle in statistics and Artificial Intelligence. In essence, it prescribes how we can update our knowledge based on new evidence, making it a powerful tool for Machine Learning. The equation itself is quite simple, however, understanding its full meaning can beContinue reading “An Intuitive Interpretation of Bayes’ Theorem”

Mastering Dictionaries And Sets In Python!

https://cdn-images-1.medium.com/max/2600/0*eUUYl3EmtmsuQaqo Original Source Here Sets Photo by Carlos Muza on Unsplash Set is a Data Structure in Python with an unordered and unindexed collection of elements. Every element in a Set is always unique. The Set Data Structure does not allow any duplication of elements. The Set is similar to the list Data Structure whenContinue reading “Mastering Dictionaries And Sets In Python!”

Data Science Learning Roadmap for 2021

Original Source Here Although nothing really changes except for the date, a new year fills everyone with the hope of starting things afresh. Adding a bit of planning, well-envisioned goals and a learning roadmap makes for a great recipe for a year full of growth. This post intends to strengthen your plan by providing youContinue reading “Data Science Learning Roadmap for 2021”