Article, Data mining and Deep Learning

What are Graph Neural Networks, and how do they work?

Analytics Vidhya

MARCH 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining.

Data mining

Data mining Deep Learning Data Science Publishing

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

JULY 6, 2021

I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles.

Machine Learning

Machine Learning Data-driven Deep Learning IoT

Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […].

Machine Learning

Machine Learning Modeling Forecasting Data Science

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

An Important Guide To Unsupervised Machine Learning

Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? If you’ve ever come across deep learning, you might have heard about two methods to teach machines: supervised and unsupervised. Source ].

Machine Learning

Machine Learning Data mining Visualization Statistics

Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Deep Learning.

Data Science

Data Science Statistics Deep Learning Machine Learning

Choosing the right Machine Learning Framework

Domino Data Lab

MARCH 11, 2021

Companies can choose to build their own custom machine learning framework, but most organizations choose an existing framework that fits their needs. In this article, we’ll show key considerations for selecting the right machine learning framework for your project and briefly review four popular ML frameworks.

Machine Learning

Machine Learning Deep Learning Insurance Modeling

What is NLP? Natural language processing explained

CIO Business Intelligence

AUGUST 11, 2023

Lilly Translate uses NLP and deep learning language models trained with life sciences and Lilly content to provide real-time translation of Word, Excel, PowerPoint, and text for users and systems. Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining.

Unstructured Data

Unstructured Data Machine Learning Data Science Data mining

Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

DECEMBER 15, 2018

In deep learning, as in typical neural network models, the method by which those adjustments to the model parameters are estimated ( i.e., for each of the edge weights between the network nodes) is called backpropagation. Check out these articles related to this challenge: The Cold Start Problem for Recommender Systems.

Machine Learning

Machine Learning Optimization Metrics Modeling

Using Big Data To Create An Award Winning Giveaway Bot

Smart Data Collective

APRIL 3, 2020

How Data-Driven Bots Can Help You. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. This is one of the most important benefits of big data. Fortunately, big data is simplifying the research process as well. Chatbots for Giveaways.

Big Data

Big Data Data-driven Data mining Software

R vs Python: What’s the Best Language for Natural Language Processing?

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Some standard Python libraries are Pandas, Numpy, Scikit-Learn, SciPy, and Matplotlib. R libraries. Every library has its own purpose and benefits.

Deep Learning

Deep Learning Data Science Machine Learning Visualization

How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data

Big Data Data Analytics Analytics Statistics

How Do Super Rookies Start Learning Data Analysis?

FineReport

DECEMBER 19, 2019

Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. In addition, tools for data analysis and data mining are also important. Excel, Python, Power BI, Tableau, FineReport are frequently used by data analysts.

Knowledge Discovery

Knowledge Discovery Visualization Data mining Reporting

How To Get An Award Winning Giveaway Bot

Smart Data Collective

APRIL 3, 2020

How Data-Driven Bots Can Help You. A couple of months ago, Hacker Moon wrote a great article on the use of deep learning to create chatbot s. This is one of the most important benefits of big data. Fortunately, big data is simplifying the research process as well. Chatbots for Giveaways.

Big Data

Big Data Data-driven Data mining Software

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. Machine learning and deep learning are both subsets of AI.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Hope the article helped.

Data Analytics

Data Analytics Analytics Prescriptive Analytics Predictive Analytics

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

What are Graph Neural Networks, and how do they work?

Top 10 Data Innovation Trends During 2020

Webinars

Trending Sources

Non-Generalization and Generalization of Machine learning Models

Webinars

An Important Guide To Unsupervised Machine Learning

Data Science Journey Walkthrough – From Beginner to Expert

Choosing the right Machine Learning Framework

What is NLP? Natural language processing explained

Data Scientist’s Dilemma – The Cold Start Problem

Using Big Data To Create An Award Winning Giveaway Bot

R vs Python: What’s the Best Language for Natural Language Processing?

How Big Data Analytics & AI Combined can Boost Performance Immensely

How Do Super Rookies Start Learning Data Analysis?

How To Get An Award Winning Giveaway Bot

Data science vs. machine learning: What’s the difference?

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

Explaining black-box models using attribute importance, PDPs, and LIME

Stay Connected