# Tag: machine learning

Posted on: August 9, 2020 Comments: 0

### Dimensionality Reduction using Python & Principal Component Analysis

Implementing Principal Component Analysis Using PCA In our previous article on Principal Component Analysis, we understood what is the main idea behind PCA. https://medium.com/swlh/intuition-behind-principal-component-analysis-you-ever-wanted-to-understand-af1b8c1ea801?source=friends_link&sk=1229e30362ea0a2cb34ee9b69330793d Where we learned : What Is PCA? Why PCA? The intuition behind PCA? Maths Behind PCA Steps To Compute Principal Components and Get The Reduced Dimensions. As promised in the PCA part 1, it’s time to acquire the practical knowledge of how PCA is implemented using python, using…

Posted on: August 8, 2020 Comments: 0

### AI For Agricultural Intelligence: Part 1

How AI Is Changing Agriculture Sector? What Are The Use Case Of AI in Agriculture? Often I feel : “ When Rural intelligence of our Farmers meets the artificial intelligence of the machine, magic is bound to happen “ – Why Agriculture Has to Be At The Focus of Visionaries? Poverty is a global issue especially in the Asian, and the African continent and if one has to really take this issue…

Posted on: August 1, 2020 Comments: 0

### Hypothesis Testing Using T Test : Inferential Statistics Part3

What Is T Test? What Are The Types Of T Test? How Does It Works? “Being a product leader it’s your responsibility to verify your assumption/hypothesis based on data analysis. Assume less & verify more has to be the way to execute your responsibilities. “ We have covered earlier in our Part1 & Part 2 Of Inferential statistics: Hypothesis Testing, where we understood about, Chi-Square Test: Normal Deviate Z Test: As…

Posted on: July 28, 2020 Comments: 0

### Understanding PCA & The Concept of Clustering In Unsupervised Learning

Data in itself has no value, it actually finds its expression when it is processed right, for the right purpose using the right tools. So when it comes to understanding the data it becomes extremely important that we are not only looking to extract obvious insights but also to identify the hidden patterns which may not be easy to find just by exploratory data analysis. To make intelligent predictions, identifying patterns…

Posted on: July 24, 2020 Comments: 0

### Inferential Statistics: Hypothesis Testing Using Normal Deviate Z -Test

What Is Z Test In Inferential Statistics & How It Works? I Feel: The more you analyze the data the more enlightened, data engineer you will become. What Is Normal Deviate Z Test & How It Works ? In data engineering you will always find an instance where you need to establish whether the data sample which you have got from population data, is reliable enough to build a model around it. There…

Posted on: July 22, 2020 Comments: 0

### Bag Of Words & TF-IDF Fundamentals For Absolute Beginners

Creating feature vector using Bag Of Words & TF-IDF in NLP Our machines are hungry for data to be fed, but they are not intelligent enough to understand whether the data being fed is useful or garbage, it is the responsibility of us human to make sure the data is clean, processed and useful so that our machines are making the sensible decisions as an outcome. With this wisdom at our…

Posted on: July 21, 2020 Comments: 0

### Data Visualization With MatPlotLib Using Python

I Feel: In today’s digital world data has become as important as air.Machines & humans both are literally breathing in & breathing out data data and data…. People are consuming and generating huge volumes of data knowingly and unknowingly on a daily basis. It is this bombardment of digital information is what current businesses are trying to tap and harness to sell and engage their customers more. All types of…

Posted on: July 20, 2020 Comments: 0

### A Guide To NLP Implementation Using OpenNLP: Making Machines Speak

NLP : Natural Language Processing is a branch of Artificial Intelligence which enables computers to analyze and understand the human language. Natural Language Processing (NLP) was formulated to build software that generates and understand natural languages so that a user can have natural conversations with his computer. NLP combines AI with computational linguistics and computer science to process human or natural languages and speech. We have the natural capabilities as a human…