A Confusion matrix is a table in which count of correct and incorrect classification done by classification model (classifier) is depicted. PredictivePNActualPTPFN NFPTN TP : True Positive – Predicted by...
Tag - Machine Learning
Shekhar Pandey
Rules of calculus — Multivariate
In the real world, it is very difficult to explain behavior as a function of only one variable, and economics is no different.
Paras Patidar
What is Deep Learning?
Deep Learning is a subfield of Machine Learning because it makes use of Deep Neural Networks inspired by the structure and function of the brain called Artificial Neural Networks.
Linear Regression In ML
Regression is basically a statistical approach of finding a relationship between the variables. Linear regression is one type of regression we use in Machine Learning.
15 Best Machine Learning Course in 2019
Here are 15 Best Machine Learning Course for Machine Learning. It will give you the great knowledge about Machine Learning and Deep Learning.
How Computers Interpret Images?
We all love to see beautiful images, but have you ever thought how do computers see an image? In this tutorial, we will give an explanation of how images are stored in a computer.
Applications Of Convolutional Neural Networks
CNN's achieve state of the art results in the variety of problem areas including Voice User Interfaces, Natural Language Processing, and Computer Vision.
Best Laptops For Deep Learning and Machine Learning
Though there are various fields out there which requires a laptop with good specifications and you can get it at an affordable price but that’s not the same case for deep learning.
15 Best Books for Machine Learning
Machine Learning today is one of the most sought-after skills in the market. Here are some of the best books which you can use to learn Machine Learning.
Numpy Tutorial – Quick Guide
The NumPy library is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.
ML And AI Comprises With These Languages.
Foundation is the basement for a healthy home. So here comes with the languages too which acts like a foundation for a healthy technology. There are few most essential languages used for ML and AI. PYTHON Python is...
Priyanka Sharma
Image Recognition Model to Detect Identifiable Professionals
Before, to train an AI model that can recognize whatever you want it to recognize in pictures, involves lots of expertise in Applied Mathematics and use Deep Learning Libraries. To write the code for the algorithm and...
What is Machine Learning?
The art and science of :
Giving Computers the ability to learn,
To make decisions from data,
Without being explicitly programmed .
Path to Machine Learning
Here goes the learning path to become an expert in machine learning.Learn any programming language (Python is highly preferable)
Intro to Tensorflow
Introduction to Tensorflow the core open source library to help you develop and train ML models.
Machine Learning Libraries in Python
Today,Python is a trending language in the industry and it replaced many of the other programming languages.Machine Learning got easier in Python than from any other language. Whether it is Machine learning or...
First ML Project with the Iris Dataset for Beginners
Every ML project starts with knowing what your data is all about.You should analyze and understand your data and should think of what Algorithms we should choose.
Is ML and AI future?
In Todays era people want automation in their life.People want everything on the tip of their finger.People do not care about money they only care about advancement in their life.They want to adapt technology trendz.
List of Youtube Channels Dedicated to AI and ML
Our main goal is to prepare people for trending technologies like Cloud, Machine Learning. We make Technology based and Educations based videos.
7 Steps to develop a Machine Learning Application
There are some basic steps involved to develop a machine learning application. I will guide with the basic 7 steps to get started with a machine learning application.
