Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Top 10 Talks To Check Out At SkillUp 2021
SkillUp 2021 will give an opportunity for students across India to connect with top-tier universities offering courses in data analytics & machine learning.
kumar Gandharv ·
Guide to Giotto-Time: A Time-Series Forecasting Python Library
Giotto-Time is an open-source Python library to perform time-series forecasting in machine learning with simple codes and built-in pipelines.
Rajkumar Lakshmanamoorthy ·
Meet The Winners Of Workation Price Prediction Challenge
The challenge was to build an ML model to predict the best workation packages optimised for price.
Krishna Rastogi ·
Adobe Vs Canva: A David & Goliath Story?
In 2019, Adobe launched Adobe Creative Cloud, a set of 20+ applications and services for graphic design, video editing, and web development.
Shraddha Goled ·
Guide To NICE: An Algorithm To Find Nearest Instance Counterfactual Explanations
NICE is an algorithm that can create Nearest Instance Counterfactual Explanations for heterogeneous tabular data (containing both numerical and categorical variables).
Nikita Shiledarbaxi ·
A Complete Python Guide to ANOVA
ANOVA is one of the statistical tools that helps determine whether two or more data samples o have significantly identical properties
Rajkumar Lakshmanamoorthy ·
FPGAs Or ASICs? DARPA Picks Sides In Designing An Unhackable Chip
DARPA's SAHARA program aims to automate the conversion of defence-relevant FPGA designs into quantifiably secure Structured ASICs at scale.
Ram Sagar ·
Google’s Latest Guidelines To Build Better NLU Benchmarks
Evaluation for many natural language understanding (NLU) tasks is broken.
Ambika Choudhury ·
Maximum Likelihood Estimation (MLE) in Python
Rajkumar Lakshmanamoorthy ·
MLOps Vs Data Engineering: A Guide For The Perplexed
MLOps lies at the intersection of DevOps, data engineering, and machine learning.
Shraddha Goled ·
Guide to PyTerrier: A Python Framework for Information Retrieval
PyTerrier framework proposes different pipelines as Python Classes to build an end-to-end, scalable Information Retrieval system
Rajkumar Lakshmanamoorthy ·
Comprehensive Guide To CLARANS Clustering Algorithm
CLARANS (Clustering Large Applications based on RANdomized Search) is a Data Mining algorithm designed to cluster spatial data.
Nikita Shiledarbaxi ·
Why SkillUp 2021 Is A Must-Attend For Data Science Aspirants
SkillUp 2021 is a disruptive next-gen conference showcasing various data science courses from across the world.
Ambika Choudhury ·
Guide To Synthetic Data Vault: An Ecosystem Of Synthetic Data Generation Libraries
Synthetic Data Vault (SDV) is a collection of libraries for generating synthetic data for Machine Learning tasks.
Nikita Shiledarbaxi ·
Attention Layer - Examples and Implementation
In many of the cases, we see that the traditional neural networks are not capable of holding and working on long and large information. attention layer can help a neural network in memorizing the large sequences of data.
Yugesh Verma ·
What is Information Gain in Decision Tree?
The information gained in the decision tree can be defined as the amount of information improved in the nodes before splitting them for making further decisions.
Yugesh Verma ·
MasterClass: Performance Boosting ETL Workloads Using RAPIDS On Spark 3.0
As Data Scientists and Engineers, two of the biggest challenges you face are the exponential growth of data and the slow processing speeds.
AIM Media House ·
Analytics India Magazine Launches AIM Leaders Council
Kashyap Raibagi ·
Guide to Different Padding Methods for CNN Models
the convolutional layers reduce the size of the output. So in cases where we want to increase the size of the output and save the information presented in the corners
Yugesh Verma ·
Move Over CUDA: OpenAI Releases Triton For GPU Developers
OpenAI’s Triton can hit peak hardware performance with relatively little effort
Ram Sagar ·