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January 9, 2020

A-Z Machine Learning Resources

Paras Patidar
A-Z Machine Learning Resources
January 7, 2020

What is AI, ML and DL?

Paras Patidar
What is AI, ML and DL?
September 28, 2019

Applications Of Convolutional Neural Networks

Paras Patidar
Applications Of Convolutional Neural Networks
September 27, 2019

TensorFlow 2.0

Hitesh Sangwan
TensorFlow 2.0
September 17, 2019

Google AI Predicts When People Will Die With ’95 % Accuracy’

Priyanka Sharma
Google AI Predicts When People Will Die With ’95 % Accuracy’
September 17, 2019

Artificial Intelligence Used To Predict Evolvement Of Cancer.

Priyanka Sharma
Artificial Intelligence Used To Predict Evolvement Of Cancer.
September 17, 2019

ML And AI Comprises With These Languages.

Paras Patidar
ML And AI Comprises With These Languages.
September 17, 2019

Innovations in mobile processor for gaming experience.

Priyanka Sharma
Innovations in mobile processor for gaming experience.
September 17, 2019

Image Recognition Model to Detect Identifiable Professionals

Paras Patidar
Image Recognition Model to Detect Identifiable Professionals
Statistics
April 12, 2020 1709 3

Statistics Foundation Series: For Data Science & Machine Learning

Hey Developer, I’m back with a new series of blogposts on the foundation of statistics for data science and machine learning. Here will be covering all the topics that are essential for good understanding of data science and machine learning concepts.

Paras Patidar 61 Resources
Statistics
April 21, 2020 1146 0

Bayes Theorem – Statistics Part 20

Hey Developer’s, I’m back with a new topic which is Bayes Theorem in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 20, 2020 1191 0

Law of Total Probability – Statistics Part 19

Hey Developer’s, I’m back with a new topic which is Law of Total Probability in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 20, 2020 885 0

Multiplicative and Additive Law Of Probability – Statistics Part 18

Hey Developer’s, I’m back with a new topic which is Multiplicative and Additive Law Of Probability in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 19, 2020 722 0

Independence Of Events – Statistics Part 17

Hey Developer’s, I’m back with a new topic which is Independence Of Events in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 19, 2020 1068 0

Conditional and Unconditional Probability – Statistics Part 16

Hey Developer’s, I’m back with a new topic which is Conditional and Unconditional Probability in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 18, 2020 822 0

Probability of Union Of Events – Statistics Part 15

Hey Developer’s, I’m back with a new topic which is Probability of Union Of Events in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 18, 2020 703 0

Multinomial Coefficients – Statistics Part 14

Hey Developer’s, I’m back with a new topic which is Multinomial Coefficients in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 18, 2020 767 0

Binomial Coefficients – Statistics Part 13

Hey Developer’s, I’m back with a new topic which is Binomial Coefficients in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 18, 2020 845 0

Combinatorics – Statistics Part 12

Hey Developer’s, I’m back with a new topic which is Combinatorics in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 17, 2020 798 0

Permutations – Statistics Part 11

Hey Developer’s, I’m back with a new topic which is Permutations in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 17, 2020 986 0

Counting Sample Points – Statistics Part 10

Hey Developer’s, I’m back with a new topic which is Counting Sample Points in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 17, 2020 825 0

Discrete and Continuous Probability – Statistics Part 9

Hey Developer’s, I’m back with a new topic which is Discrete and Continuous Probability in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 16, 2020 977 0

Rules of Probability – Statistics Part 8

Hey Developer’s, I’m back with a new topic which is Rules of Probability in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 16, 2020 919 0

Introduction To Probability and Examples – Statistics Part 7

Hey Developer’s, I’m back with a new topic which is Introduction To Probability and Examples in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 15, 2020 768 0

Independence and Dependence Events – Statistics Part 6

Hey Developer’s, I’m back with a new topic which is Independence Of Events in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 15, 2020 746 0

Set Operations On Events – Statistics Part 5

Hey Developer’s, I’m back with a new topic which is Set Operations On Events in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 14, 2020 753 0

Experiments, Events, Sample Spaces & Points – Statistics Part 4

Hey Developer’s, I’m back with a new topic which is Experiments, Events, Sample Spaces & Points in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 14, 2020 808 0

Cardinality, Set Complement and Set Laws – Statistics Part 3

Hey Developer’s, I’m back with a new topic which is Cardinality, Set Complement and Set Laws in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 13, 2020 816 0

Set Membership & Set Operations – Statistics Part 2

Hey Developer’s, I’m back with a new topic which is a Sets Membership in the series of statistics foundations.

Paras Patidar 61 Resources
Statistics
April 13, 2020 922 0

Introduction To Sets – Statistics Part 1

Hey Developer’s, I’m back with a new topic which is an introduction to sets in the series of statistics foundations.

Paras Patidar 61 Resources
Decision Trees Machine Learning Algorithms
March 23, 2020 1178 0

Introduction To Decision Trees – Part 1

Decision Tree is a type of Supervised Learning Algorithm wherein the data is continuously split on the basis of certain parameters. To understand the decision tree in a better way let’s take an example

Paras Patidar 61 Resources
Decision Trees Machine Learning Algorithms
March 23, 2020 1316 0

Going Deeper Into Decision Trees – Part 2

Decision Tree is a type of Supervised Learning Algorithm wherein the data is continuously split on the basis of certain parameters. To understand the decision tree in a better way let’s take an example

Paras Patidar 61 Resources
Amazon Web Services Cloud Computing
January 30, 2020 1574 0

Cloud Computing

Cloud Computing is the delivery of IT resources over the internet. The cloud is like a virtual data center accessible via the internet that allows you to manage.

Priyanka Sharma 15 Resources
Google Cloud
January 22, 2020 1336 0

Google takes on AWS and Azure in India with Airtel cloud deal

Google has inked a deal with India’s third-largest telecom operator as the American giant looks to grow its cloud customer base in the key overseas market that is increasingly emerging as a new cloud battleground for AWS and Microsoft .

Paras Patidar 61 Resources
Programming Technology Uncategorized
January 15, 2020 1538 0

How to Become a Better Coder?

That list is great for checking whether a particular programming language is in use today. However, if you’re new to programming, I don’t recommend choosing a language solely based on a list.

computerwala 1 Resources
Artificial Intelligence Deep Learning Featured Machine Learning Technology
January 9, 2020 3323 0

A-Z Machine Learning Resources

Machine learning resources containing Deep Learning, Machine Learning and Artificial Intelligent resources. A-Z Machine learning resources to learn machine learning.

Paras Patidar 61 Resources
Deep Learning Featured Machine Learning TensorFlow
January 8, 2020 2311 0

Affine Transformation- Image Processing In TensorFlow- Part 1

Affine Transformation helps to modify the geometric structure of the image, preserving parallelism of lines but not the lengths and angles. It preserves collinearity and ratios of distances. It is one type of method we can use in Machine Learning and Deep Learning for Image Processing and also for Image Augmentation.

Paras Patidar 61 Resources
Artificial Intelligence Deep Learning Featured Machine Learning
January 7, 2020 1173 0

What is AI, ML and DL?

AI, ML and DL are related to each other. AI is a superset of ML and DL. What we do in the field of ML and DL all comes under AI. To better understand all of them, Let’s dive in…

Paras Patidar 61 Resources
Deep Learning Machine Learning
November 4, 2019 1477 0

Hyperparameters in Machine Learning

A hyperparameter is a parameter or a variable we need to set before applying a machine learning algorithm into a dataset.These parameters express “High Level” properties of the model such as its complexity or how fast it should learn. Hyperparameters are usually fixed before the actual training process begins.

Paras Patidar 61 Resources
Deep Learning Machine Learning TensorFlow
November 3, 2019 1931 0

Transfer Learning With MobileNetV2

In this notebook we will be learning how to use Transfer Learning to create the powerful convolutional neural network with a very little effort, with the help of MobileNetV2 developed by Google that has been trained on large dataset of images.

Paras Patidar 61 Resources
Deep Learning Machine Learning
November 2, 2019 666 0

Is There a Standard Heuristic for Model Tuning?

Training error should steadily decrease, steeply at first, and should eventually plateau as training converges.If the training has not converged, try running it for longer.

Paras Patidar 61 Resources
Deep Learning Featured Machine Learning Mathematics In ML
October 11, 2019 912 0

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 61 Resources
Programming Python
October 10, 2019 743 0

Understanding Underscores in Python

Ever wonder why sometimes attributes, methods in Python start with single underscore, double underscore(“dunder”), end with single…

Shekhar Pandey 9 Resources
Programming Python
October 8, 2019 659 0

High Order functions

A high order function is a function that operates on other functions, either by taking a function…

Shekhar Pandey 9 Resources
Programming Python
October 6, 2019 848 0

Dealing with multiple iterables in Python using zip()

Python’s zip() function creates an iterator that will aggregate elements from two or more iterables. zip() maps…

Shekhar Pandey 9 Resources
Deep Learning
October 3, 2019 769 0

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.

Paras Patidar 61 Resources
Featured Machine Learning
October 2, 2019 920 0

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.

Paras Patidar 61 Resources
Deep Learning Featured Machine Learning
October 1, 2019 732 0

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.

Paras Patidar 61 Resources
Deep Learning
September 30, 2019 734 0

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.

Paras Patidar 61 Resources
Artificial Intelligence Deep Learning
September 28, 2019 1406 0

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.

Paras Patidar 61 Resources
Artificial Intelligence Google MLAIT Programming Python Statistics Technology TensorFlow Web
September 27, 2019 722 0

TensorFlow 2.0

TensorFlow the massive open-source platform to develop large scale AI and Deep Learning Models has recently been updated to its newer form TensorFlow 2.0.

Hitesh Sangwan 1 Resources
Technology
September 25, 2019 1576 0

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.

Paras Patidar 61 Resources
Machine Learning Uncategorized
September 25, 2019 754 0

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.

Paras Patidar 61 Resources
Machine Learning Uncategorized
September 22, 2019 948 0

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.

Paras Patidar 61 Resources
Programming Python
September 22, 2019 884 0

String in Python

Textual data in Python is handled with str objects. Since default handling of Text in Python2 and…

Shekhar Pandey 9 Resources
Programming Python
September 20, 2019 629 0

User define Function in Python

A function is a block of code that takes input(s), performs some computation and returns a result….

Shekhar Pandey 9 Resources
Programming Python
September 20, 2019 645 0

Tuple in Python

Tuple is a data structure in Python which is an immutable , ordered collection of objects. Tuples…

Shekhar Pandey 9 Resources
Programming Python
September 19, 2019 585 0

Sets in Python

A Set in Python is a data structure that contains an un-ordered collection of distinct objects. A…

Shekhar Pandey 9 Resources
Programming Python
September 18, 2019 721 0

Dictionary in Python

A dictionary is an un-ordered data structure, its elements are stored as a key:value pair.Key must be…

Shekhar Pandey 9 Resources
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