Industry360

This book gives a structured introduction with the fundamental theories of ML and the mathematical derivations transforming into practical algorithms. It covers a list of ML algo(but not limited to), stochastic gradient descent, neural networks, and structured output learning.

With this concept byte we try to feature the item based nearest neighbor for recommendations. In this we deep dive into the mathematics with proper understanding of cosine similarity

Statistical learning is the key foundation to many of today's machine learning algorithm. With this minibyte series we bring a sense of belief that the universe is driven by numbers

Statistical Learning

Excel 2013 macros is the next set of modules that we have come up in the learning series for automation.
This forms as the basis of advanced excel where we take it from scratch explaining the details with each step

https://modules.industry360.co.in/course/excel-2013-macros/

Eric Emerson Schmidt is an American businessman and software engineer. He is known for being the CEO of Google from 2001 to 2011.
Lets hear to his wisdom words on Data

The entire сrux оf а project lies in the fulfillment оf the set рrоjeсt’s оbjeсtives.

Initiation
Planning
Implementation
Closing

For us to understand the cycle in detail please read the full article in our blog

https://www.industry360.co.in/industry-view/the-project-life-cycle/

This offers listed mathematical and conceptual techniques used across the industry

Feedforward
Regularization
Optimization
CNN
NLP
Speech
Vision
Recommendations
Linear models
Autoencoders
Probabilistic models
Monte Carlo
Partition function
Inference
Deep generative models

We are nurturing you with good quality content with industry-standard from the data industry.

For today we are presenting a breather to refresh with the content from past week.

Recommendation Engine

Collaborative filtering is important and the core of any recommendation engine. There is a lot of data that is crunched and this comes with a price. The sparse matrix is a challenge to deal with but there is a turnaround for the same. Nearest neighbor and correlation are used exhaustively for finding better associations and portraying them for similarity purposes