Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. Healthcare firms may use machine learning to meet rising demand, […].

Machine Learning 392

Machine Learning Data Science Python Artificial Intelligence 392

DataRobot Blog

APRIL 7, 2022

F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.

Data Scientist 105

Data Scientist AI AI 105

StreamHacker

APRIL 4, 2022

3DMutantMfers is a new NFT collection by @scott_visuals. He is also the artist and creator of 3DMfers and Cosmo Creatures. For this mint, the team wanted to reward holders of 3DMfers and Cosmo Creatures with free mints, while still keeping public mints very affordable at 0.029 ETH. The idea with the free mint was that you would be able to get 1 3DMutantMfer for each 3DMfer or Cosmo Creature you held.

Python 52

Python Explainability 52

The Stanford AI Lab Blog

APRIL 7, 2022

Discovering systematic errors with cross-modal embeddings In this blog post, we introduce Domino, a new approach for discovering systematic errors made by machine learning models. We also discuss a framework for quantitatively evaluating methods like Domino. Links: ? Paper (ICLR 2022) ? Longer Walkthrough ? GitHub ? Docs ? Google Colab Machine learning models that achieve high overall accuracy often make systematic errors on coherent slices of validation data.

Machine Learning 40

Machine Learning Metadata Algorithm Automation 40

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

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.

Python 393

Python Data Science Computer Vision Algorithm 393

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability is the ability to integrate and share secure healthcare information promptly across multiple systems. Medical Interoperability along with AI & Machine Learning […].

Machine Learning 389

Machine Learning Data Science ML AI 389

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction BI tools, including software services, apps, and data connectors, make up the Microsoft Power BI portfolio. Data from many sources are combined into a single dataset in this cloud-based platform. These data sets create shareable reports, dashboards, and apps for data visualization, evaluation, […].

Data Science 371

Data Science 371

Analytics Vidhya

APRIL 8, 2022

“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together […]. The post Data Science Blogathon 19th Edition appeared first on Analytics Vidhya.

Data Science 367

Data Science Big Data 367

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. In this article we will dig a bit deeper into RNN, we will see the mathematical details and try to […]. The post Recurrent Neural Networks: Digging a bit deeper appeared first on Analytics Vidhya.

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Neural Network Data Science Algorithm Deep Learning 354

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Business Intelligence

Analytics Vidhya

APRIL 6, 2022

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. You must explore the data, understand the relationships between variables, […].

Data Analysis 353

Data Analysis Python Machine Learning Data Science 353

Analytics Vidhya

APRIL 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Style transfer is a developing field in neural networks and it is a very useful feature that can be integrated into social media and AI apps. Several neural networks can map and transfer image styles to an input image as per the training […]. The post An Introduction to Creating Stylized Sketches of Faces using JojoGAN appeared first on Analytics Vidhya.

Neural Network 339

Neural Network Data Science AI AI 339

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hashing is the process of mapping keys and values into a hash table by using a hash function. It makes elements more accessible faster. The efficiency of the hash function determines how well it can handle the mapping. When you have 20000 […]. The post Ways to Calculate Hashing in Data Structure appeared first on Analytics Vidhya.

Data Science 333

Data Science Algorithm 333

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction The Keras Functional API is a way of creating models that are more flexible and complex than the traditional sequential model. The functional API can handle models with non-linear topology, shared layers, and even multiple inputs or outputs. On the contrary, The sequential API allows […].

Data Science 327

Data Science Deep Learning Python Machine Learning 327

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

APRIL 7, 2022

Introduction Internships and apprenticeships are two of the most popular methods of learning on the job and gaining crucial skills. The concept of an apprentice started dying out once masters of various sciences and crafts were replaced by employers. Eventually, internships took over from the 20th century as a standardised approach for gaining domain experience. […].

Data Science 310

Data Science 310

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Overview Clustering is an unsupervised machine learning algorithm that basically groups similar things together. Recommendation Engines is a fundamental application of clustering. We will build a Collaborative filtering Book recommendation system and compare flat vs hierarchical clustering; which works better?

Machine Learning 310

Machine Learning Algorithm Data Science 310

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Let’s find out how to use pose estimation for such Snapchat filters, shall we? Have you ever wondered how Snapchat uses its filters and engages people so much? The filters on Snapchat are of various kinds, from funny to using makeup filters […]. The post Know all About 2D and 3D Pose Estimation!

Data Science 310

Data Science Computer Vision Algorithm Python 310

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. In Machine Learning problems, teams deal with a lot of data. Not all data is useful and can be utilized. Usually, some data has to be left out of the training process so that only the most relevant data and features are used. This […]. The post Principal Component Analysis & its Implementions appeared first on Analytics Vidhya.

Machine Learning 299

Machine Learning Data Science 299

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

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog, we will explore one interesting aspect of the pandas read_csv function, the Python Iterator parameter, which can be used to read relatively large input data. Pandas library in python is an excellent choice for reading and manipulating data as data frames. […].

Python 303

Python Data Science 303

Analytics Vidhya

APRIL 5, 2022

Dear Readers, We are happy to bring you yet another exciting ‘The DataHour’ session for you! Yup, you heard it right! The DataHour Series brings Ria to conduct a webinar on Text-Based Classification using Artificial Intelligence. We hope, you’re excited and eager to learn new things that we have planned for you all. Date: 12th […].

Artificial Intelligence 296

Artificial Intelligence Artificial Intelligence Machine Learning 296

Analytics Vidhya

APRIL 4, 2022

Introduction Have you ever used “Grammarly” or “text summarizer” and wondered how does Grammarly tells us grammatical mistakes or how “Apple’s Siri” and “Amazon Alexa” understand what you say? There is an interesting algorithm working behind all these applications named “Recurrent Neural Networks” or RNN in short. The first time I came across RNNs, I […].

Neural Network 270

Neural Network Algorithm Deep Learning 270

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. In general, ML Model is a Black Box. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […]. The post Gain Customer’s Confidence in ML Model Predictions appeared first on Analytics Vidhya.

ML 279

ML Data Scientist Machine Learning Explainability 279

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Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In Machine Learning, there are two types of algorithms. One is Supervised, and the other is Unsupervised algorithms. A decision tree algorithm is a supervised Machine Learning Algorithm. There are many algorithms in supervised Machine Learning Algorithms like Random Forest, K-nearest neighbour, Naive […].

Algorithm 278

Algorithm Machine Learning Data Science 278

Analytics Vidhya

APRIL 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Learn how to version control your files and large dataset with a few lines of scripts. FastDS combines the power of Git and DVC to provide a hassle-free versioning experience. Companies are always on the lookout for tools that can improve the […]. The post A Beginner’s Guide to Get Productive With FastDS!

Data Science 277

Data Science Python 277

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big Data is a very commonly heard term these days. A reasonably large volume of data that cannot be handled on a small capacity configuration of servers can be called ‘Big Data’ in that particular context. In today’s competitive world, every business […]. The post A Comprehensive Guide to Sharding in Data Engineering for Beginners appeared first on Analytics Vidhya.

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Big Data Data Science 275

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction The data being handled all around the world is just huge. We cannot even imagine how much data is being handled, processed, and used in various industries and companies. To get a better understanding of the data, one must learn how to do […]. The post EDA: Exploring the Unexplored!

Data Science 266

Data Science 266

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

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction An ultimate beginners guide on Apache Spark & RDDs! As we all have observed, the growth of data how helps the companies to get insights into data, and that insight is used for the growth of Business. Personal assistants like Alexa, Siri, […]. The post Beginners Guide on Apache Spark & RDDs appeared first on Analytics Vidhya.

Data Science 260

Data Science Big Data Python 260

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. We have worked on different data visualization libraries over the last decade. Data visualization is the way to tell stories by curating data into a more simple plot and helps us understand and highlight the key trends in our data. Introduction A sound data […]. The post A Comprehensive Guide On Pygal – The Next Generation Data Visualization Library In Python appeared first on Analytics Vidhya.

Python 255

Python Data Science 255

Analytics Vidhya

APRIL 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction MLOps, as a new area, is quickly gaining traction among Data Scientists, Machine Learning Engineers, and AI enthusiasts. MLOps are required for anything to reach production. Here’s everything you need to know about MLOps and why it’s so important for getting the […].

Machine Learning 249

Machine Learning Data Scientist Data Science DevOps 249