AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Make Python Code Faster With Numba
Numba is an open-source Just-In-Time compiler that enables Python developers to translate Python and NumPy code directly into machine code.
Aditya Singh ·
Are You Among The Top Data Science Service Providers In India? Nominations For 2021 Now Open
Kashyap Raibagi ·
LinkedIn Open-Sources This New Library For Time Series Forecasting
Ambika Choudhury ·
Getting Started With Object Detection Using TensorFlow
Rajkumar Lakshmanamoorthy ·
Top Tech Conferences For Women In 2021
Ambika Choudhury ·
How To Build Scalable & Affordable Eye Tracking ML Models
Amit Naik ·
Getting Started With Semantic Segmentation Using TensorFlow Keras
Semantic segmentation in computer vision is the supervised process of pixel-level image classification into two or more Object classes
Rajkumar Lakshmanamoorthy ·
Overview Of Atoti: A Python BI Analytics Tool
Atoti is a Python business intelligence analytics tool that creates a Tableau-like dashboarding interface inside Jupyter notebooks.
Aditya Singh ·
Understanding Naive Bayes Classifier From Scratch
Naive Bayes classifiers is a highly scalable probabilistic classifiers that is built upon the Bayes theorem. This article goes through the Bayes theorem, ‘make some assumptions’ and then implement a naive Bayes classifier from scratch.
Aditya Singh ·
Top Open-Source Datasets For Object Detection In 2021
Ambika Choudhury ·
What Does Darktrace & Microsoft’s Partnership Mean For Cloud Security?
Meenal Sharma ·
DeepMind Releases Algorithm To Create Mind-Blowing Paintings Just From Text
Amit Naik ·
7 Free Resources To Learn Explainable AI
Ambika Choudhury ·
Top 15 AI-Powered Tools For Legal Professionals
Meenal Sharma ·
Top Data Science Courses Made Free In 2021
Ambika Choudhury ·
How TensorFlow Probability is used in Neural Networks?
There are many cases where we get the requirements of probabilistic models and techniques in neural networks. These requirements can be filled up by adding probability layers to the network that are provided by TensorFlow.
Yugesh Verma ·
Exploring Transfer Learning Using TensorFlow Keras
Transfer Learning is the approach of making use of an already trained deep learning model along with its weights for a related task
Rajkumar Lakshmanamoorthy ·
How to use Support Vector Machines for One-Class Classification?
Yugesh Verma ·
Introduction to Probabilistic Neural Networks For Beginners
A probabilistic neural network (PNN) is a sort of feedforward neural network used to handle classification and pattern recognition problems.
Vijaysinh Lendave ·
How To Address Bias-Variance Tradeoff in Machine Learning
Bias and variance are inversely connected and It is nearly impossible practically to have an ML model with a low bias and a low variance. When we modify the ML algorithm to better fit a given data set, it will in turn lead to low bias but…
Victor Dey ·