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.

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Python Data Science Computer Vision Algorithm 400

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.

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Machine Learning Metadata Algorithm Automation 40

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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 […].

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Machine Learning Data Science ML AI 397

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

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 373

Data Science Big Data 373

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 348

Data Analysis Python Machine Learning Data Science 348

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 348

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Generative AI

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 346

Data Science Algorithm 346

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 331

Neural Network Data Science AI AI 331

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 323

Data Science Deep Learning Python Machine Learning 323

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 314

Data Science 314

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

LLM

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 314

Machine Learning Algorithm Data Science 314

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 314

Data Science Computer Vision Algorithm Python 314

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 305

Python Data Science 305

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 295

Machine Learning Data Science 295

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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 295

Artificial Intelligence Artificial Intelligence Machine Learning 295

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 284

ML Data Scientist Machine Learning Explainability 284

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 283

Algorithm Machine Learning Data Science 283

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.

Big Data 283

Big Data Data Science 283

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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 283

Data Science Python 283

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 281

Data Science 281

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Trading in the 21st century has evolved exponentially since its commencement. Although, a few decades ago, it was very disorganized and slow because of the analog functionality. Meanwhile, modern computing technology has developed faster, sustainable, stress-free automated trading systems by orienting machine learning […].

Machine Learning 271

Machine Learning Algorithm Python Data Science 271

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 […].

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Neural Network Algorithm Deep Learning 271

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Data Analysis

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 271

Data Science Big Data Python 271

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 270

Python Data Science 270

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 269

Machine Learning Data Scientist Data Science DevOps 269