AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Top BI tools for Mainframes
Without BI, organisations will not be able to dominate with data-driven decision-making but focus on experiences, intuition, and gut feelings.
Akashdeep Arul ·
Top online resources to learn Active Learning
Their tutorial on active learning in ML breaks down the principles of the concept along with real-life examples and mathematical explanations.
Avi Gopani ·
How can reinforcement learning be applied to transportation?
Reinforcement Learning is a real time decision making and strategy building technique combined with neural networks form a Deep Reinforcement Learning used complex problem solving.
Sourabh Mehta ·
Top digital twin startups in India
Digital Twin can revolutionise the automobile industry by simulating the real-world environment into a virtual world by analysing data using physics-based analytics and improving the prediction using Deep Learning.
poornima.nataraj ·
Continued, relentless focus on the desired outcome: Praxis’ rise to being the best data science institute in India
Praxis has added yet another feather to its cap by topping the list of Data science programs in the India survey conducted by Analytics India Magazine in 2021
Shraddha Goled ·
How to find feature importance in loan default prediction?
Analyzing the feature importance is necessary for certain predictive analytics works such as credit or loan default predictions
waqqas.Ansari ·
Why you should study data science at Shiv Nadar University, Delhi NCR
The pedagogy is a case study-based approach to real-life business scenarios with actual practice on rich business datasets.
Amit Naik ·
The best global institutes for AI research
The university recently collaborated with JPMorgan, introducing the Maker Space, a platform for students to collaborate, foster and develop AI technology that tackles the world’s toughest problems.
Avi Gopani ·
How to visualize ML model's performance using Scikit-Plot?
As the name suggests Scikit-plot is a package that helps us in the visualization process. Since visualization plays a crucial role in the life of data science processes we always need some libraries that can help us in making meaningful vi…
Yugesh Verma ·
Should you go for an MBA in analytics?
In the age of Big Data, analytics professionals are expected to go beyond numbers and statistical concepts.
Sreejani Bhattacharyya ·
What are the graph objects in Plotly and how to use them?
In this article, we will look at how to use graph objects (module) of the Plotly library, explaining it from the ground up, and covering all of the most commonly used charts.
Sourabh Mehta ·
A tutorial on various clustering evaluation metrics
In this article, we will be learning about different performance metrics for clustering and implementation of them
Sourabh Mehta ·
How to explain ML models and feature importance with LIME?
LIME is an open-source package that enables us to explain the nature of models using visualization. The word LIME stands for Local Interpretable Model-agnostic explanations which means this package explains the model-based local values.
Yugesh Verma ·
A hands-on tutorial on Customer Lifetime Value (CLTV) prediction
In this article, we would be learning how to calculate the CLTV in python and predict the probabilities of a customer.
Sourabh Mehta ·
How to perform gradient-based optimization using Autograd?
Autograd is a python package that can provide us with a way to differentiate Numpy and Python code. It is a library for gradient-based optimization. Using this package we can work with a large subset of features of python including loops,…
Yugesh Verma ·
How to optimise machine learning pipelines with TPOT?
TPOT is an open-source package for optimizing machine learning programs. We can also consider this tool as an automated machine learning tool using which we can automatically get a high performing model for data modelling.
Yugesh Verma ·
How to speed up machine learning operations with Jax?
Jax is a library that can be considered as NumPy for CPU, TPU, and GPU. This can provide us with an efficient and automatic differentiation of the projects and research that are enabling machine learning in it.
Yugesh Verma ·
How to create a pivot table in Python from scratch?
Sourabh Mehta ·
Understanding the maths behind the Gini impurity method for decision tree split
Gini impurity is an important measure used to construct the decision trees.
waqqas.Ansari ·
Top preprint servers for publishing your AI research
Most preprint servers enable researchers to upload draft versions of a manuscript before submitting it to a more traditional peer-reviewed journal.
poornima.nataraj ·