Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Enterprises Are Adopting And Embedding AI Within Core Business Processes: Seema Kumar, CTO, Global Partners Solutions, Microsoft India
I have the privilege of leading a highly talented, diverse technical team at Microsoft. I've grown as a technical professional myself and thereby understand the motivations and what is needed to nurture and grow future technical leaders.
kumar Gandharv ·
A Guide to Video Object Segmentation for Beginners
Segmenting and tracking the objects of interest in the video is critical for effectively analyzing and using video big data.
Vijaysinh Lendave ·
Attend This Webinar By GIM To Jumpstart Your Career In Big Data Analytics
To help you in your career ambition to become a data science professional, Analytics India Magazine is organising an exclusive webinar with the Goa Institute of Management to discuss ways in which you can jumpstart your careers in Big Data…
Debolina Biswas ·
A Guide to VARMA with Grid Search in Time-Series Modelling
The main focus of the article is to implement a VARMA model using the Grid search approach. Where the work of grid search is to find the best-fit parameters for a time-series model.
Yugesh Verma ·
A Beginner’s Guide to Two-Phase Learning
two-phase machine learning algorithm if uses two algorithms together where the first algorithm is used for imputing variables of the dataset and the second algorithm is used to predict the values
Yugesh Verma ·
A Guide to Different Visualizations with Plotly Express for Practitioners
Plotly Express is a free and open-source Python visualization library for creating interactive and beautiful visualizations.
Vijaysinh Lendave ·
Hands-on Guide to Cockpit: A Debugging Tool for Deep Learning Models
It is important to understand the limitations that prevent machine learning adoption in many industries.
Vijaysinh Lendave ·
Complete Guide to Understanding Precision and Recall Curves
Aishit Dharwal ·
We Are Excited For MLDS 2022; Here Is Why
Analytics India Magazine is set to host the fourth edition of the highly coveted Machine Learning Developers Summit (MLDS)
Shraddha Goled ·
An Illustrative Guide to Deep Relational Learning
arbitrary information of the data and represent the result in an expressive context of their mean can be considered as the deep relational learning process and we can call the models deep relational models.
Yugesh Verma ·
Hands-on Guide to Image Denoising using Encoder-Decoder Model
In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model.
Yugesh Verma ·
A Guide to Chainer: A Flexible Toolkit For Neural Networks
Implementing neural networks necessitates the use of a variety of specialized building elements, such as multidimensional arrays, activation functions, and automatic differentiation.
Vijaysinh Lendave ·
Why Genpact ‘Dare in Reality’ Is A Hackathon Not To Be Missed
Sign up to win exciting Envision Racing merchandise and cash prize worth INR 12 lakhs.
Amit Naik ·
An Introductory Guide to Meta Reinforcement Learning (Meta-RL)
Meta Reinforcement learning(Meta-RL) can be explained as performing meta-learning in the field of reinforcement learning. where including meta-learning models in reinforcement learning we can grow the model to perform a variety of tasks.
Yugesh Verma ·
A Guide to Inferencing With Bayesian Network in Python
In this post, we will walk through the fundamental principles of the Bayesian Network and the mathematics that goes with it. Also, we will also learn how to infer with it through a Python implementation.
Vijaysinh Lendave ·
A Guide to Dask: Parallel Computing Tool in Python for Big Data
Parallel computing is a sort of computation that performs several calculations or processes at the same time.
Vijaysinh Lendave ·
The 4th Edition Of Machine Learning Developers Summit Is Back In Virtual Format | 19-20th Jan
Anushka Pandit ·
A Beginner’s Guide to MLOps
With the fast development in the machine learning frameworks, comparative approaches are being created within the capacity of ML engineering, which handles the special complexity of the practical application of machine learning.
Vijaysinh Lendave ·
A Beginners’ Guide to Cross-Entropy in Machine Learning
Machine learning and deep learning models are normally used to solve regression and classification problems. In a supervised learning problem, during the training process, the model learns how to map the input to the realistic probability…
Vijaysinh Lendave ·
Complete Guide To LightGBM Boosting Algorithm in Python
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm. However, the efficiency and scalability…
Vijaysinh Lendave ·