Category Digital Advertising
Finding the right publisher is crucial for the success of your marketing campaign. Site-direct buy from publishers provide advertisers an advantage over their competitor such as better ad quality, ad...
Category Digital Strategy
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Finding the right publisher is crucial for the success of your marketing campaign. Site-direct buy from publishers provide advertisers an advantage over their competitor such as better ad quality, ad...
Category Display Ads
Finding the right publisher is crucial for the success of your marketing campaign. Site-direct buy from publishers provide advertisers an advantage over their competitor such as better ad quality, ad...
Category Digital Publishers
Finding the right publisher is crucial for the success of your marketing campaign. Site-direct buy from publishers provide advertisers an advantage over their competitor such as better ad quality, ad...
Category Branding
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Finding the right publisher is crucial for the success of your marketing campaign. Site-direct buy from publishers provide advertisers an advantage over their competitor such as better ad quality, ad...
Category Data Analytics
Cohort Analysis is done by companies to get a better understanding of the behaviour of customers or users. Cohort refers to a group of people in a study that share...
Category Cohort
Cohort Analysis is done by companies to get a better understanding of the behaviour of customers or users. Cohort refers to a group of people in a study that share...
Category Python
Virtual Environment: is a resource that helps keep the dependencies provided by various projects apart by developing independent python virtual environments.
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Machine learning algorithms cannot work with raw text directly and therefore the text must be converted into numbers. (specifically, vectors of numbers.)
Cohort Analysis is done by companies to get a better understanding of the behaviour of customers or users. Cohort refers to a group of people in a study that share...
Category Text Processing
Machine learning algorithms cannot work with raw text directly and therefore the text must be converted into numbers. (specifically, vectors of numbers.)
Category NLP
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Topic Modelling: is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Machine learning algorithms cannot work with raw text directly and therefore the text must be converted into numbers. (specifically, vectors of numbers.)
Category Natural Language Processing
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Topic Modelling: is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Machine learning algorithms cannot work with raw text directly and therefore the text must be converted into numbers. (specifically, vectors of numbers.)
Category NLTK
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
Machine learning algorithms cannot work with raw text directly and therefore the text must be converted into numbers. (specifically, vectors of numbers.)
Category Term Frequency - Inverse Document Frequency
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Category TF-IDF
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Category TfidfVectorizer
TF-IDF : is an information retrieval technique that weighs a term’s frequency (TF) and its inverse document frequency (IDF). Each word or term has its respective TF and IDF score....
Category Text Analysis
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
Category Sentimental Analysis
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
Category Analysis of Readability
Text Analysis involves a set of techniques and approaches to transorm textual content to a point where it can be represented as data. Following are the commonly used methods for...
Category Topic Modeling
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling: is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Category Latent Dirichlet Allocation
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling: is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Category LDA
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Topic Modelling: is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Category Machine Learning
- Separate Training from the Server:
Static model is trained offline. That is, we train the model exactly once and then use that trained model for a while.
Small data sets are trickier to handle, require a different set of algorithms and a different set of skills.
Category Regression
Small data sets are trickier to handle, require a different set of algorithms and a different set of skills.
Category Small Dataset
Small data sets are trickier to handle, require a different set of algorithms and a different set of skills.
Category Problems & Solutions
Small data sets are trickier to handle, require a different set of algorithms and a different set of skills.
Category Data Science
- Separate Training from the Server:
Static model is trained offline. That is, we train the model exactly once and then use that trained model for a while.
Small data sets are trickier to handle, require a different set of algorithms and a different set of skills.
Category SpaCy
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Category Stanford NER
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Category NER
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Category Named Entity Recognition
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Named Entity Recognition: is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real words...
Category LDAvis
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Category LDA Model Interpretation
Topic Modelling is used to extract topics from a collection of documents.The topics are fundamentally a cluster of similar words. This help in the understanding of hidden semantic structure between...
Category Deployment
- Separate Training from the Server:
Static model is trained offline. That is, we train the model exactly once and then use that trained model for a while.
Category Email Marketing
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Category Automation
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Category Google Scripts
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Category Digital Marketing
What is Email Marketing Automation?
Email marketing is the process of delivering a promotional letter, primarily by using email to a customer or group of customers.
Category spaCy
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Category Flair
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Category Deep Pavlov
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Category Polyglot NER
Name Entity Recognition NER is extraction of named entities and their classification into predefined categories such as location, organization, name of a person, etc. The named entity is any real...
Category Sentiment Analysis
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Category Text Blob
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Category VADER
Sentiment Analysis It is the process of identifying and categorizing opinions expressed in a piece of text to determine whether the attitude of the writer towards a specific subject, product,...
Category Virtual Environment
Virtual Environment: is a resource that helps keep the dependencies provided by various projects apart by developing independent python virtual environments.
Category Blockchain
Blockchain: The blockchain is an ordered data structure, which stores the blocks of transactions in back-linked list form.The blocks in the blockchain are linked back to their parent or previous...
Category Smart Contract
Blockchain: The blockchain is an ordered data structure, which stores the blocks of transactions in back-linked list form.The blocks in the blockchain are linked back to their parent or previous...
Category Automated Text Summarization
Automated Text Summarization is the automated process of reducing the original text ‘s size while retaining key information elements and the context.
Automated Text Summarization is the automated process of reducing the original text ‘s size while retaining key information elements and the context.
Category Abstractive Summarization
Automated Text Summarization is the automated process of reducing the original text ‘s size while retaining key information elements and the context.
Category NLU
Automated Text Summarization is the automated process of reducing the original text ‘s size while retaining key information elements and the context.
Category Natural Language Understanding
Automated Text Summarization is the automated process of reducing the original text ‘s size while retaining key information elements and the context.
Category Graph Database
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Data Management
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Triple Stores
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category RDF
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Resource Description Framework
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Property Graph
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Hypergraph
Graph Database are increasingly being adopted in various industries, such as healthcare, retail, financial services, given their ability to represent data from the real world and help to analyse various...
Category Proof of Concept
Proof of Principle / Proof of Concept (POC): is an approach widely used in companies, before going forward with development, to determine feasibility of a concept for project or potential...
Category Proof of Principle
Proof of Principle / Proof of Concept (POC): is an approach widely used in companies, before going forward with development, to determine feasibility of a concept for project or potential...
Category POC
Proof of Principle / Proof of Concept (POC): is an approach widely used in companies, before going forward with development, to determine feasibility of a concept for project or potential...
Category Product Management
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
Proof of Principle / Proof of Concept (POC): is an approach widely used in companies, before going forward with development, to determine feasibility of a concept for project or potential...
Category Chatbot
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
Category Chatbot Development
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
Category Marketing
Chatbots are conversational tools that automate repetitive conversation tasks. They use messaging apps to mimic a natural language / dialogues for a conversation with a person.
Category HEART Framework
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category Goals
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category SIgnal
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category Metrics
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category UX Design
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category Product Strategies
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category Web Analytics
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
Category Web Applications
The HEART Framework is designed by Google to focus on a few primary user metrics and then quantify those metrics to evaluate them critically.
