Inside Ai

Explore the advantages of facebook new Prophet API developed for time series data specially is designed to be easier to use and find a good set of hyper parameters automatically in an effort to make skillful forecasts for data with trends without needing the requirement of special domain knowledge.

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Courtesy: Facebook Prophet

So what is Prophet?

Prophet is an open source library published by Facebook designed to forecast Uni-variate time series data based on decomposition (trend+Seasonality+holidays) components. …


Data Journalism

Full Guide to 15 different types of clustering methods

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Hi there whatsup? I hope its all good!

Today we will take clustering into another level with more than 12 types of clustering methods.

Its goanna be a long chapter, shall we get started?

Here are the lists of clustering techniques that we will be going through:

1.) K-means

2.) H-Clust

3.) DBSCAN / Density-Based Spatial Clustering

4.) HDBSCAN / Hierarchical Density-Based Spatial Clustering

5.) Cure Algorithm

6.) Mini-Batch K-means Clustering

7.) Fuzzy Clustering

8.) Spectral Clustering

9.) Mean Shift

10.) BRICH / Balanced Iterative Reducing and Clustering using Hierarchies

11.)…


Get the skills and training you need to be the most effective advocates of artificial intelligence or dive into new concepts and prepare for a successful career move tailored by industry projects portfolios.

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Ai Master Class @ D2Academics.com
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#FREE @ D2ACADEMICS.COM

Happy Analyzing!

My alternative internet presences, Facebook, Blogger, Linkedin, Medium, Instagram, ISSUU and my very own D2Academics, Data2Dimensions

Also available on Quora @ https://www.quora.com/profile/Bob-Rupak-Roy

Stay tuned for more updates.! have a good day….

https://www.quora.com/profile/Bob-Rupak-Roy
https://www.quora.com/profile/Bob-Rupak-Roy
https://www.quora.com/profile/Bob-Rupak-Roy

~ Be Happy and Enjoy !

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Big data technology is revolutionizing the computing power of massive amount of data. Empower yourself with this technology that ignites growth for an organization. Learn a unique perspective of analytics to swiftly find actionable insights. Learn a unique perspective of analytics to swiftly find actionable insights.

Big Data Analytics | D2Academics
Big Data Analytics | D2Academics
Big Data Analytics @ D2Acadmics.com

“Big data technology is revolutionizing the computing power of massive amount of data. Empower yourself with this technology that ignites growth for an organization.”

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#FREE @ D2ACADEMICS.COM

Happy Analyzing!

Feel Free to ask because “Curiosity Leads To Perfection”

My alternative internet presences, Facebook, Blogger, Linkedin, Medium, Instagram, ISSUU and my very own D2Academics, Data2Dimensions

Also available on Quora @ https://www.quora.com/profile/Bob-Rupak-Roy

Stay tuned for more updates.! have a good day….

https://www.quora.com/profile/Bob-Rupak-Roy
https://www.quora.com/profile/Bob-Rupak-Roy
https://www.quora.com/profile/Bob-Rupak-Roy

~ Be Happy and Enjoy !

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Ordering Points To Identify Cluster Structure (OPTICS) ) is a density based clustering technique that allows to partition data into groups with similar characteristics(clusters)

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Its addresses one of the DBSCAN’s major weaknesses. The problem of detecting meaningful clusters in data of varying density.

In a density based clustering, clusters are defined as dense regions of data points separated by low-density regions.

It adds two more terms to the concepts of DBSCAN clustering. They are:

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  1. Core Distance: it is the minimum value of radius required to classify a given point as a core point. …

Inside Ai

Explore the advantages of facebook new Prophet API developed for time series data specially is designed to be easier to use and find a good set of hyper parameters automatically in an effort to make skillful forecasts for data with trends without needing the requirement of special domain knowledge.

Image for post
Image for post
Courtesy: Facebook Prophet

So what is Prophet?

Prophet is an open source library published by Facebook designed to forecast Uni-variate time series data based on decomposition (trend+Seasonality+holidays) components. …


Understand and perform Composite & Standalone LSTM Encoders to recreate sequential data.

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What are AutoEncoders?

AutoEncoder is an artificial neural network model that seeks to learn from a compressed representation of an input.

There are various types of autoencoders available suited for different types of scenarios, however the commonly used autoencoder is for feature extraction.

Combining feature extraction models with different types of models have a wide variety of applications.

Feature Extraction Autoencoders models for prediction sequence problems are quite challenging not because of the length of the input can vary, its because machine learning algorithms and neural networks are designed to work with fixed length inputs.


Understand and perform Composite & Standalone LSTM Encoders to recreate sequential data.

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What are AutoEncoders?

AutoEncoder is an artificial neural network model that seeks to learn from a compressed representation of an input.

There are various types of autoencoders available suited for different types of scenarios, however the commonly used autoencoder is for feature extraction.

Combining feature extraction models with different types of models have a wide variety of applications.

Feature Extraction Autoencoders models for prediction sequence problems are quite challenging not because of the length of the input can vary, its because machine learning algorithms and neural networks are designed to work with fixed length inputs.


Data Journalism

Full Guide to 15 different types of clustering methods

Image for post
Image for post

Hi there whatsup? I hope its all good!

Today we will take clustering into another level with more than 12 types of clustering methods.

Its goanna be a long chapter, shall we get started?

Here are the lists of clustering techniques that we will be going through:

1.) K-means

2.) H-Clust

3.) DBSCAN / Density-Based Spatial Clustering

4.) HDBSCAN / Hierarchical Density-Based Spatial Clustering

5.) Cure Algorithm

6.) Mini-Batch K-means Clustering

7.) Fuzzy Clustering

8.) Spectral Clustering

9.) Mean Shift

10.) BRICH / Balanced Iterative Reducing and Clustering using Hierarchies

11.)…


Inside Ai

Apply State of the Art Deep Learning MLP models for predicting the sequence of numbers/time series data.

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Hi how are you doing? I hope its great.

Today let’s understand something new and advanced that i have learn. Deep Learning’s state of the art Multi-layer Perception Models (MLP in short) for Time Series Forecasting.

So what we will learn in this article.

1.) MLP for univariate time series forecasting.

2.) Multivariate MLP models further divided into

a.) Multiple Input series

b.) Multiple Parallel series

3.) Multi step MLP Models

4.) Multi step Multi-Step MLP Models further divided into

a.) Multiple Input Multi-Step…

About

Bob Rupak Roy

Things i write about frequently on Medium: Data Science, Machine Learning, Deep Learning, NLP and many other random topics of interest. ~ Let’s stay connected!

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