Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

Data Science 400

Data Science Python 400

Eugene Yan

SEPTEMBER 4, 2021

Focusing on long-term rewards, exploration, and frequently updated item.

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Lexalytics

SEPTEMBER 9, 2021

Today I’m excited to share the news that Lexalytics has been acquired by InMoment, the leader in Experience Improvement (XI). If you haven’t already seen the press release it can be viewed here. For nearly two decades, Lexalytics has been a pioneer in structured and unstructured data analytics, translating text into profitable decisions with our natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) solutions for the world’s most customer-centric brands.

Natural Language Processing 52

Natural Language Processing Text Analytics Machine Learning Artificial Intelligence 52

Bitext

SEPTEMBER 8, 2021

This post dives into one of the topics of a previous post “ How to Make Machine Learning more effective using Linguistic Analysis “ We referred to the strong points of Machine Learning technology for insight extraction. We also stated that text analysis is not the area where machine learning shines the most. Here we go into some detail on this last statement.

Machine Learning 52

Machine Learning Chatbots AI AI 52

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers. deep-learning helps to solve many artificial intelligence applications that help improving […].

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Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.

Python 397

Python Data Science Computer Vision 397

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction You may be frequently using Google Assistant or Apple’s Siri or even Amazon Alexa to find out quick answers on the web or to simply command something. These AI assistants are well known for understanding our speech commands and performing the desired tasks. They quickly respond to […].

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Deep Learning Python Data Science AI 395

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction OpenCV is a great tool for image processing and performing computer vision tasks. It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more. It supports multiple languages including python, java C++. […].

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Computer Vision Python Data Science 355

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon This is a tutorial on how to create a deep learning model for predicting stock prices using the TensorFlow framework. This is an advanced project of Tensorflow which means you should be very clear with the basics of Stock Prices. You can also check […]. The post Predicting Stock Prices with TensorFlow appeared first on Analytics Vidhya.

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Deep Learning Data Science Python 358

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Business Intelligence

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. Time series is all around us from predicting sales to predicting traffic and more. A simple example of time series is the amount of […]. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.

Deep Learning 356

Deep Learning Data Science Python 356

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Designing a deep learning model that will predict degradation rates at each base of an RNA molecule using the Eterna dataset comprising over 3000 RNA molecules. Image 1 Introduction mRNA vaccines are at forefront of battling the COVID-19 pandemic and they come with limitations. […].

Deep Learning 353

Deep Learning Data Science Python 353

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution. Doing this helps us determine if a dataset follows any particular type of probability distribution like normal, […].

ML 341

ML Data Science 341

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon What is Hypothesis Testing? Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. Now, we want to use this information to predict values […].

Machine Learning 332

Machine Learning Data Science Data Analysis Python 332

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Table of contents 1. The motivation behind Graph Neural Networks 2. GNN Algorithm 3. GNN implementation on Karate network 4. Applications of GNN 5. Challenges of GNN 6. Study papers on GNN The motivation behind Graph Neural Networks Graphs are receiving a lot […]. The post Getting Started with Graph Neural Networks appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction Building a cool machine learning project is one thing, and another when you need other people to see it too. Sure, you can put the entire project on GitHub, but how will your grandparents figure out what you’ve done? No, we need to […]. The post Model Deployment -Deploy a Keras Model as a Python Web Application appeared first on Analytics Vidhya.

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Python Machine Learning Data Science Deep Learning 328

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction Everything around us from biology, stocks, physics, or even common life scenarios can be mathematically modelled using Differential equations. It has a remarkable ability to predict everything around us. We can use Differential Equations to maximize our investment returns, can use them in […].

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Deep Learning Data Science 321

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing has many applications these days. An important application of Natural Language Processing is text classification and text analytics. For this purpose, we need to create a classifier. But, the problem that lies in dealing with text data is that computers […].

Python 321

Python Natural Language Processing Text Analytics Data Science 321

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Analytics Vidhya

SEPTEMBER 8, 2021

This article was published as a part of the Data Science Blogathon Introduction to Geometric Intuition of Logistic Regression Hello folks! You may generally come across the term classification and regression in our data science or machine learning community, this two are the main pillars of machine learning. classification is all about predicting the label and regression […].

Machine Learning 314

Machine Learning Data Science 314

Analytics Vidhya

SEPTEMBER 10, 2021

This article was published as a part of the Data Science Blogathon Introduction With ignite, you can write loops to train the network in just a few lines, add standard metrics calculation out of the box, save the model, etc. Well, for those who have moved from TF to PyTorch, we can say that the ignite […]. The post Training and Testing Neural Networks on PyTorch using Ignite appeared first on Analytics Vidhya.

Neural Network 302

Neural Network Data Science Deep Learning Python 302

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction This post will discuss 10 Automated Machine Learning (autoML) packages that we can run in Python. If you are tired of running lots of Machine Learning algorithms just to find the best one, this post might be what you are looking for. This […]. The post 10 Automated Machine Learning for Supervised Learning (Part 2) appeared first on Analytics Vidhya.

Machine Learning 298

Machine Learning Automation Data Science Python 298

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon The fastai library is now on Julia with similar features available in Python. In this project, we are going to train the Resnet-18 model to classify images from the ImageNet dataset in simple steps. Source: Author Introduction to FastAI.jl The FastAI.jl library is similar […].

Python 302

Python Data Science Computer Vision Deep Learning 302

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Analytics Vidhya

SEPTEMBER 7, 2021

This article was published as a part of the Data Science Blogathon Introduction In this tutorial, we will discuss the implementation of the YOLO Object Detection system in Tensorflow 2.0. YOLO is the latest object detection system (network). It was designed by Joseph Redmon. Models in the YOLO family are exceptionally fast and far outperform R-CNN […].

Data Science 300

Data Science Computer Vision Deep Learning Python 300

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction: Artificial Neural Networks (ANN) are algorithms based on brain function and are used to model complicated patterns and forecast issues. The Artificial Neural Network (ANN) is a deep learning method that arose from the concept of the human brain Biological Neural Networks.

Neural Network 299

Neural Network Deep Learning Data Science Algorithm 299

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction Machine learning is connected with the field of education related to algorithms which continuously keeps on learning from various examples and then applying them to real-world problems. Classification is a task of Machine Learning which assigns a label value to a specific class […].

Machine Learning 300

Machine Learning Data Science Algorithm Python 300

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon Introduction The main goal of this post is to compare the performance of the Pycaret and Cat boost library by solving a binary classification problem. Soccer, also known as football, is one of the most famous games in the world. If groups of people […]. The post Pycaret vs Catboost on Soccer Fever Classification Dataset appeared first on Analytics Vidhya.

Data Science 296

Data Science Python Machine Learning 296

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon One thing that comes to our mind after hearing Big Data Analytics is that this field might be somewhat related to Data Science right? So starting with the answer, yes it’s related to the same the only difference is, in Big Data Analytics, analysts […]. The post An Introductory Guide to Big Data Analytics appeared first on Analytics Vidhya.

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Big Data Data Science 297

Analytics Vidhya

SEPTEMBER 5, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article we will try to understand what PCA is all about, why do we need to perform PCA on a given dataset. We also look into the Mathematical Principles or the concepts underlying PCA and how these concepts help us in […]. The post PCA And It’s Underlying Mathematical Principles appeared first on Analytics Vidhya.

Data Science 295

Data Science Python Machine Learning 295

Analytics Vidhya

SEPTEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, we discuss colour perception. The article can benefit individuals in graphical media art. The challenge of creating art with a deep dark blue can become challenging, as purple may appear instead. As we dive deeper into the world of Hex […]. The post Color Perception – How To Produce Dark Blue Without a Hint of Purple appeared first on Analytics Vidhya.

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Data Science Python 293