Analytics Vidhya

OCTOBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

Data Science 399

Data Science 399

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail.

Big Data 96

Big Data Data Drift AI AI 96

DeepMind

OCTOBER 19, 2022

We’ve partnered with Google Cloud over the last few years to apply our AI research for making a positive impact on core solutions used by their customers. Here, we introduce a few of these projects, including optimising document understanding, enhancing the value of wind energy, and offering easier use of AlphaFold.

AI Researcher 57

AI Researcher AI Research AI AI 57

Kavita Ganesan

OCTOBER 21, 2022

Of late, we’ve been hearing about Twitter bots in the news due to the whole saga of Elon Musk buying Twitter. One of the reasons the deal took so long to pan out was Musk’s concerns about the number of spam bots running rampant on the platform. While Musk believes that bots make up more than 20% of accounts on Twitter, Twitter states that the number of bots on its platform is marginal.

ML 52

ML Machine Learning AI Strategy Continuous Learning 52

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

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Cough Audio analysis, one of the breakthroughs of AI in healthcare, often proves valuable in diagnosing respiratory and lung diseases. COVID-19 (Coronavirus Disease 2019) has had devastating effects on humanity, making early detection in patients imperative for its treatment.

Data Science 399

Data Science AI AI Artificial Intelligence 399

Explosion

OCTOBER 17, 2022

Library for clinical NLP with spaCy. Contribute to medspacy/medspacy development by creating an account on GitHub.

NLP 40

NLP 40

O'Reilly Media

OCTOBER 18, 2022

A recently passed law in New York City requires audits for bias in AI-based hiring systems. And for good reason. AI systems fail frequently, and bias is often to blame. A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications?

AI 116

AI AI LLM Algorithm 116

Analytics Vidhya

OCTOBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Graph machine learning is quickly gaining attention for its enormous potential and ability to perform extremely well on non-traditional tasks. Active research is being done in this area (being touted by some as a new frontier of machine learning), and open-source libraries […].

Machine Learning 399

Machine Learning Data Science Deep Learning 399

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Most existing research on Twitter spam focuses on account blocking or identifying and blocking spam users or spammers. To detect spam users, we can use traditional machine learning algorithms that use information from users’ tweets, demographics, shared URLs, and social connections as features. […].

Natural Language Processing 397

Natural Language Processing Machine Learning Data Science Algorithm 397

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hey Folks !! In this article, we will discuss implementing a face detector using Haar Cascade in OpenCV python. In the last article, we talked about real-time object classification; if you haven’t checked it yet, the link is here. Identifying a given […]. The post Face Detection using Haar-Cascade using Python appeared first on Analytics Vidhya.

Python 396

Python Data Science Computer Vision 396

Analytics Vidhya

OCTOBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Niti Ayog, one of the transforming national institutions, has published an article on Blockchain use cases in India. Few questions about Blockchain, why Blockchain, and how we can deploy our applications through the docker and Kubernetes we should know. Objectives We will discuss […].

Data Science 395

Data Science 395

Analytics Vidhya

OCTOBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Support vector machine is one of the most famous and decorated machine learning algorithms in classification problems. The heart and soul of this algorithm is the concept of Hyperplanes where these planes help to categorize the high dimensional data which are either […].

Categorization 394

Categorization Algorithm Machine Learning Data Science 394

Analytics Vidhya

OCTOBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction A business can employ IT services offered on the internet by using cloud computing rather than maintaining its physical servers. Popular cloud computing services include Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Cloud technology has more effects on our lives […].

Data Science 390

Data Science 390

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

OCTOBER 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction We may have heard much about using Containers in IT, especially in Cloud environments. But what exactly are these containers? In the field of information technology, a container is like a typical container you could encounter in daily life. It only holds […]. The post AWS ECS- Amazon’s Container Tool appeared first on Analytics Vidhya.

Data Science 388

Data Science 388

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The GoogleAI researchers presented a frame interpolation algorithm synthesising a sharp slow-motion video […]. The post FILM Model: Scale-Agnostic NN Architecture for Creating High-Quality Slow-Motion Videos appeared first on Analytics Vidhya.

Data Science 387

Data Science Algorithm Neural Network Artificial Intelligence 387

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Missing data in machine learning is a type of data that contains null values, whereas Sparse data is a type of data that does not contain the actual values of features; it is a dataset containing a high amount of zero or […]. The post Dealing with Sparse Datasets in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 380

Machine Learning Data Science Big Data Python 380

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence is one of the most talked-about technologies in recent years. It has been a hot topic for many tech companies, investors, and entrepreneurs who are trying to find ways to use it to improve their businesses or lives. However, not […]. The post How AI Can Improve Your Life In The Next 5 Years?

Artificial Intelligence 373

Artificial Intelligence Artificial Intelligence Data Science AI 373

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Analytics Vidhya

OCTOBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction NFTs, NFTs, NFTs! If you have been in the crypto space for even a short period, you may have heard of the term NFTs. NFTs are Non-Fungible tokens (in detailed explanation in the following section). NFTs have grown so popular that several […]. The post Beginners’ Guide to a NFT Marketplace: Magic Eden appeared first on Analytics Vidhya.

Data Science 373

Data Science 373

Analytics Vidhya

OCTOBER 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction Representational State Transfer (REST) is an architectural paradigm for designing online applications based on the Hypertext Transfer Protocol (HTTP). A REST API, often known as a RESTful API, adheres to REST principles. In a REST API, all data are represented by a […].

Data Science 373

Data Science 373

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data mining is extracting relevant information from a large corpus of natural language. Large data sets are sorted through data mining to find patterns and relationships that may be used in data analysis to assist solve business challenges. Thanks to data mining […].

Data Mining 371

Data Mining Data Analysis Data Science 371

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size. Data Lakes are an important […].

Data Science 370

Data Science Big Data Machine Learning 370

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

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction There are several reasons organizations should use cloud computing in the modern world. Businesses of all sizes are switching to the cloud to manage risks, improve data security, streamline processes and decrease costs, or other reasons. Many services are available from top cloud […].

Data Science 365

Data Science 365

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction You may be asked questions on various topics in a data science interview. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Besides these, your coding abilities are also tested by asking you to solve a problem, and […].

Data Science 357

Data Science Data Analysis Machine Learning 357

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction An electronic log of all bitcoin transactions is known as a blockchain. It keeps expanding when new blocks of recordings are uploaded to it as7 “finished” chunks. Each block includes transaction information, a timestamp, and a cryptographic hash of the one before […].

Data Science 356

Data Science 356

Analytics Vidhya

OCTOBER 19, 2022

This article was published as a part of the Data Science Blogathon. Source: techdemand.io Introduction Web 3.0 may be just as disruptive and usher in a huge paradigm change as Web 2.0. Web 3.0 is based on the fundamental concepts of decentralization, openness, and increased consumer utility. Web 3.0, often known as Web 3, is […]. The post Most Commonly Asked Web 3.0 Interview Questions appeared first on Analytics Vidhya.

Data Science 353

Data Science 353

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Data Analysis

Analytics Vidhya

OCTOBER 17, 2022

Overview There are 4 mathematical pre-requisite (or let’s call them “essentials”) for Data Science/Machine Learning/Deep Learning, namely: Probability & Statistics Linear Algebra Multivariate Calculus Convex Optimization Introduction In this article, we are going to discuss the following questions: Why should I bother about Optimization in ML?

Machine Learning 352

Machine Learning Deep Learning Data Science ML 352

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Neural networks (Artificial Neural Networks) are methods or algorithms that mimic a human brain’s operations to solve a complex problem that a normal algorithm can’t solve. A Perceptron in neural networks is a unit or algorithm which takes input values, weights, and […].

Neural Network 343

Neural Network Algorithm Data Science Deep Learning 343

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article is part of blog series on Machine Learning Operations(MLOps). In the previous articles, we have gone through the introduction, MLOps pipeline, model training, model testing, model packaging, and model registering. We have seen how to train, test, package, and register […].

Machine Learning 330

Machine Learning Data Science 330