Analytics Vidhya

SEPTEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

Data Science 399

Data Science 399

DeepMind

SEPTEMBER 13, 2022

Our Operating Principles have come to define both our commitment to prioritising widespread benefit, as well as the areas of research and applications we refuse to pursue. These principles have been at the heart of our decision making since DeepMind was founded, and continue to be refined as the AI landscape changes and grows. They are designed for our role as a research-driven science company and consistent with Google’s AI principles.

AI 57

AI AI 57

fast.ai

SEPTEMBER 15, 2022

Three years ago we pioneered Deep Learning from the Foundations , an in depth course that started right from the foundations—implementing and GPU-optimising matrix multiplications and initialisations—and covered from scratch implementations of all the key applications of the fastai library.

Deep Learning 52

Deep Learning 52

Bitext

SEPTEMBER 13, 2022

Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from the same root. Arabic can create words, similar to “compounds” but more limited, combining certain POSes, such as prepositions, conjunctions and pronouns, with nouns, adjectives and verbs.

NLP 40

NLP Chatbots AI AI 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

SEPTEMBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].

Computer Vision 397

Computer Vision Data Science Python Machine Learning 397

DataRobot Blog

SEPTEMBER 13, 2022

The future of business depends on artificial intelligence and machine learning. According to IDC , 83% of CEOs want their organizations to be more data-driven. 87% of CXOs shared that becoming an intelligent enterprise was their top priority. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do?

Data Scientist 52

Data Scientist Automation ML Data Ingestion 52

Dlabs.ai

SEPTEMBER 15, 2022

The run-up to Christmas is always full of events in the artificial intelligence industry. We’ve curated a list of the most interesting ones, so you won’t waste time trawling hundreds of websites. We’ve even split the list into three sections — each dedicated to a different month: October, November, and December. Even better, the events are in chronological order, so you can fill up your calendar as you go.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Data Science 52

Analytics Vidhya

SEPTEMBER 16, 2022

Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].

Explainability 388

Explainability Data Science Deep Learning 388

Defined.ai blog

SEPTEMBER 14, 2022

Data annotation helps machines make sense of text, video, image or audio data. One of the stand-out characteristics of Artificial Intelligence (AI) is its ability to learn, for better or for worse. It’s this ongoing effort that distinguishes AI from static, code-dependent software. It’s also precisely this ability that makes high-quality annotated data a crucial element in training representative, successful, and bias-free AI models.

Machine Learning 52

Machine Learning Artificial Intelligence Artificial Intelligence Automation 52

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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

SEPTEMBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.

Neural Network 379

Neural Network Deep Learning Data Science NLP 379

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].

Big Data 370

Big Data Data Science 370

Analytics Vidhya

SEPTEMBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].

Machine Learning 353

Machine Learning Data Science Python 353

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.

NLP 352

NLP Natural Language Processing Data Science Python 352

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

SEPTEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data visualization is the skill that helps us to interpret the data in a creative and intrusive way. Suppose we break down more aspects of data visualization. In that case, we can see it is one of the best ways to draw […]. The post Data visualization for One-dimensional Data appeared first on Analytics Vidhya.

Data Science 347

Data Science Python 347

Analytics Vidhya

SEPTEMBER 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation. GPUs, TPUs, and other faster storage and processing mechanisms have so far successfully processed vast amounts of data in […].

Artificial Intelligence 337

Artificial Intelligence Artificial Intelligence Machine Learning Data Science 337

Analytics Vidhya

SEPTEMBER 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Proof-of-Work (PoW) in the blockchain is a consensus mechanism that allows miners to add a new block to the network based on calculations made to find the perfect hash. Network participants verify the transactions added by the new block. For a decentralized […]. The post Blockchain : Proof-of-Work (PoW) appeared first on Analytics Vidhya.

Data Science 322

Data Science 322

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting the famous machine learning problem statement, i.e. Titanic Survival Prediction, using PySpark’s MLIB. This is one of the best datasets to get started with new concepts as we being machine learning enthusiasts, already are well […].

Machine Learning 295

Machine Learning Data Science Deep Learning Python 295

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Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction With technological evolution, data dependence is increasing much faster. Gone are the days when business decisions were primarily based on gut feeling or intuition. Organizations are now employing data-driven approaches all over the world. One of the most widely used data applications […].

Data Science 284

Data Science Python Machine Learning 284

Analytics Vidhya

SEPTEMBER 10, 2022

Introduction Smart contracts are a type of digital agreement based on blockchain technology and are executed to form a legal contract between two parties involved. Smart contracts have been in the market even before the advent of blockchain technology. However, recent developments in the blockchain have paved the way to an increasingly secure form of […].

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Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction Detecting the outlier is tedious, especially when we have multiple data types. Hence, we have different ways of detecting outliers for different data types. As for normally distributed data, we can get through the Z-Score method similarly; for skewed data, we can […].

Data Science 283

Data Science 283

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deploying is perhaps the second most crucial step in the complete product development life cycle. Deploying models let other members of your organization consume what you have created. For starters, it could appear daunting, but with the right tools, things can be […].

Machine Learning 299

Machine Learning Data Science 299

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

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis. Frequent Itemset Mining is one of the most widely used methods for […].

Data Science 281

Data Science Big Data 281

Analytics Vidhya

SEPTEMBER 15, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Contextual ASR, which uses a list of biasing terms […]. The post Contextual Spelling Correction of the ASR Systems appeared first on Analytics Vidhya.

Data Science 271

Data Science Machine Learning 271

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction We all enjoy food, whether street food or in some restaurants of different varieties. Have you wondered which food to choose with how many calories or anything happens like surfing on the net, and suddenly you look at a food image and don’t […]. The post How to Detect your Food from Different Images?

Data Science 271

Data Science Python 271

Analytics Vidhya

SEPTEMBER 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” The duck was chosen as the mascot for this database management system (DBMS) because it is a very versatile animal that can fly, walk and swim. In short, […].

Data Science 271

Data Science Python 271

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Data Analysis

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction The constant rise prompted organizations to create a system that was implemented by building factories, assembly lines, and other elements of automated production. Soon after, the technology boom saw the emergence of agile systems that automate creation processes. This was achieved by […].

Automation 270

Automation Data Science Machine Learning 270

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction DevOps practices include continuous integration and deployment, which are CI/CD. MLOps talks about CI/CD and ongoing training, which is why DevOps practices aren’t enough to produce machine learning applications. In this article, I explained the important features of MLOps and the key […].

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DevOps Machine Learning Explainability Data Science 266

Analytics Vidhya

SEPTEMBER 14, 2022

This article was published as a part of the Data Science Blogathon. Introduction We as users require a platform to trade; buy and sell our assets. Traditionally, we use a centralized exchange to trade our assets. These centralized exchanges are the middlemen. Our crypto assets are stored on these exchanges, and the exchanges have control […]. The post Complete Guide to a Decentralized Exchange – PancakeSwap appeared first on Analytics Vidhya.

Data Science 265

Data Science 265