Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

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Python Data Science Computer Vision 330

O'Reilly Media

FEBRUARY 15, 2022

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

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Eugene Yan

FEBRUARY 17, 2022

I'm heading into a team lead role and would like to define the vision and roadmap.

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Dlabs.ai

FEBRUARY 18, 2022

Hi there! If you ended up here, you might be interested in the current report for 2023, available here: Top 10 AI Trends to Watch in 2023. Every year, artificial intelligence takes a giant leap forward. The only way to keep up with the pace of change is to hear from those at the forefront of the industry. This 24-page report allows you to do just that.

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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

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

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Data Science ML Engineer ML Python 331

Eugene Yan

FEBRUARY 12, 2022

What to consider for in terms of data, roadmap, role, manager, tooling, etc.

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Bitext

FEBRUARY 15, 2022

How Synthetic Text can solve your training and evaluation problems for your virtual assistants / chatbots When shopping online, customers frequently have the need to modify their order: exchanging an item in the basket, deleting something already added… Customers ask for these kinds of changes in many different ways, like “how do I change my order?” or “I need to delete a product from my basket”.

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Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

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Python Machine Learning Data Science 323

DataRobot Blog

FEBRUARY 14, 2022

In the past decade, we’ve seen an explosion in the usage of AI. From predicting which customers are likely to churn to forecasting inventory demand, businesses are adopting AI more and more frequently. With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. It can be difficult to convince stakeholders at your organization to trust a model, even if it’s 90% accurate, if it’s unclear how a model arrives at decisions.

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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

DeepMind

FEBRUARY 15, 2022

Successfully controlling the nuclear fusion plasma in a tokamak with deep reinforcement learning

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Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

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Machine Learning Data Science 314

Analytics Vidhya

FEBRUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

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NLP Data Science Data Mining Machine Learning 305

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

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Computer Vision Machine Learning Data Science Artificial Intelligence 284

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

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

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Linked Data Data Science 282

Analytics Vidhya

FEBRUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello, and welcome to the beautiful article where we will learn and discuss various facts related to python Lambda functions. Python is a dynamic yet straightforward typed language, and it provides multiple libraries and in-built functions. There are different methods to perform the […].

Python 271

Python Data Science 271

Analytics Vidhya

FEBRUARY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

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Convolutional Neural Networks Neural Network Computer Vision Data Science 271

Analytics Vidhya

FEBRUARY 14, 2022

Introduction The word community has become a buzzword across the globe. Businesses have realized the power of community-led growth and are heavily invested in building and continuously giving to the audience. Well.guess what? At Analytics Vidhya, the community has been at the forefront since its inception with aim of building the best AI ML ecosystem […].

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ML AI AI Data Science 271

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Analytics Vidhya

FEBRUARY 18, 2022

This article was published as a part of the Data Science Blogathon. OpenCV is a massive open-source library for various fields like computer vision, machine learning, image processing and plays a critical function in real-time operations, which are fundamental in today’s systems. It is deployed for the detection of items, faces, Diseases, lesions, Number plates, […].

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Deep Learning Computer Vision Machine Learning Data Science 270

DeepMind

FEBRUARY 15, 2022

Successfully controlling the nuclear fusion plasma in a tokamak with deep reinforcement learning

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