Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. This is the 2nd blog of the MLOps series. Introduction This article is part of an ongoing blog series on Machine Learning Operations(MLOps). In the previous article, we have gone through the introduction of MLOps. We have seen differences in traditional software development in […].

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DeepMind

FEBRUARY 6, 2022

In our recent paper, we show that it is possible to automatically find inputs that elicit harmful text from language models by generating inputs using language models themselves. Our approach provides one tool for finding harmful model behaviours before users are impacted, though we emphasize that it should be viewed as one component alongside many other techniques that will be needed to find harms and mitigate them once found.

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Applied Data Science

FEBRUARY 7, 2022

How to use OSRM to calculate distances reliably and for free. Photo by T.H. Chia on Unsplash Calculating distances between a set of coordinates is something that regularly comes up in Data Science projects. Whether it is planning routes for delivery services, or measuring a customer’s willingness to travel to certain locations, getting an accurate measure of distance is always key.

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Explosion

FEBRUARY 7, 2022

Explosion is pleased to announce a new development services offering, spaCy Tailored Pipelines. We’ll build you a custom natural language processing pipeline, delivered in a standardized format using spaCy’s projects system.

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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 10, 2022

This article was published as a part of the Data Science Blogathon. Objective “True optimization is the revolutionary contribution of modern research to decision processes” – George Dantzig. This article discusses solving a resource allocation problem using linear programming in Python. We will find an optimal value for a linear equation with different linear constraints.

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DataRobot Blog

FEBRUARY 11, 2022

In the first part of the “Ever-growing Importance of MLOps” blog, we covered influential trends in IT and infrastructure, and some key developments in ML Lifecycle Automation. This second part will dive deeper into DataRobot’s Machine Learning Operations capability, and its transformative effect on the machine learning lifecycle. DataRobot’s Robust ML Offering.

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Analytics Vidhya

FEBRUARY 11, 2022

This article was published as a part of the Data Science Blogathon. […]. The post 11 Extensions to Power Up your Jupyter Notebook appeared first on Analytics Vidhya.

Data Science 315

Data Science 315

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview “You’re either the one that creates the automation or you’re getting automated.” Tom Preston-Werner. Automation affects almost every aspect of modern life, and it can be used in any industry. Automation minimizes human input and eliminates doing repetitive tasks.

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Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be closely working with the heart disease prediction and for that, we will be looking into the heart disease dataset from that dataset we will derive various insights that help us know the weightage of each feature and […]. The post Heart Disease Prediction using Machine Learning appeared first on Analytics Vidhya.

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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

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Model Development is a critical stage in the life cycle of a Data Science project. We attempt to train our data set using various forms of Machine Learning models, either supervised or unsupervised, depending on the Business Problem. Given many models available for […].

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Machine Learning Data Science 296

Analytics Vidhya

FEBRUARY 8, 2022

Overview Understanding how EDA is done in Python Various steps involved in the Exploratory Data Analysis Performing EDA on a given dataset Introduction Exploratory data analysis popularly known as EDA is a process of performing some initial investigations on the dataset to discover the structure and the content of the given dataset. It is often […].

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Data Analysis Python 295

Analytics Vidhya

FEBRUARY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Phonepe, Google Pay (Tez) are ubiquitous names in the Indian payment ecosystem and the top two players in the area. According to Phonepe pulse report, it has133 million monthly active users as of July’21. For the Q3-21 quarter, the total transactions were 526.8 Cr […].

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Analytics Vidhya

FEBRUARY 8, 2022

This article was published as a part of the Data Science Blogathon. Introduction Will tomorrow be a sunny day? What are the chances that a student will get into that dream university? These and many more real-world “decision” scenarios need a standard mechanism. Step in Logistic Regression may be stated very simply as an estimation of […].

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Python Data Science Machine Learning 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 8, 2022

Introduction Sentiment Analysis has been a very popular activity since the beginning of Natural Language Processing (NLP). It belongs to a subtask or application of text classification, identifying sentiments or subjective information from different texts. Sentiment Analysis means to identify the view or emotion behind a situation. It means to analyze and find the emotion or intent […].

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Natural Language Processing NLP 284

Analytics Vidhya

FEBRUARY 7, 2022

Overview Be familiar with the SELECT Statement Have a basic understanding of WHERE HAVING and FROM clauses Introduction In this article, we will deal with Subqueries in SQL. Like any structure has a subpart or a subset similarly our Query in SQL or the SELECT query in SQL also has a concept of Subquery associated […]. The post Understanding Subqueries in SQL appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 7, 2022

In this article, we are going to bust some of the common myths we usually have while working on SQL – Structured Query Language. We will be using the MS SQL Server Database Server to write our queries. 1. HAVING Clause cannot be used without GROUP BY Clause! You must be wondering whether the HAVING […]. The post Myth Busters in SQL – Structured Query Language appeared first on Analytics Vidhya.

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DeepMind

FEBRUARY 10, 2022

Collaborating with YouTube to optimise video compression in the open source VP9 codec.

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DeepMind

FEBRUARY 10, 2022

Collaborating with YouTube to optimise video compression in the open source VP9 codec.

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DataRobot Blog

FEBRUARY 9, 2022

When your employer adopts AI solutions , your work may be simplified in the long run, but implementing the new technologies may require some initial effort. To adapt to the changes, follow these guidelines. Declutter the Tech Stack: Adopt an End-to-End Solution. Instead of using separate tools that were not designed to work together, focus on creating a single ecosystem of technology infrastructure.

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