July, 2022

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

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Uncommon Uses of Python in Commonly Used Libraries

Eugene Yan

Some off-the-beaten uses of Python learned from reading libraries.

Python 130
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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot Blog

Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.

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AlphaFold reveals the structure of the protein universe

DeepMind

Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.

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How To Get Promoted In Product Management

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.

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Practical Deep Learning for Coders 2022

fast.ai

Today we’re releasing Practical Deep Learning for Coders 2022 —a complete from-scratch rewrite of fast.ai’s most popular course, that’s been two years in the making. Previous fast.ai courses have been studied by hundreds of thousands of students, from all walks of life, from all parts of the world. fast.ai’s videos have been viewed over 6,000,000 times already!

More Trending

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Top Interview Questions & Answers for Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

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How Image Annotation Teaches Machines to See

Defined.ai blog

Everything you need to know about image data labelling and image annotation Computer vision technology has massive potential. From detecting cancer cells to allowing consumers to make payments on their phones through facial recognition, there is almost nothing computer vision models can’t do, if trained on the right data. However, precise data labelling is crucial to training accurate computer vision models.

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Location AI: The Next Generation of Geospatial Analysis

DataRobot Blog

Real world problems are multidimensional and multifaceted. Location data is a key dimension whose volume and availability has grown exponentially in the last decade. At the confluence of cloud computing, geospatial data analytics, and machine learning we are able to unlock new patterns and meaning within geospatial data structures that help improve business decision-making, performance, and operational efficiency.

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Working together with YouTube

DeepMind

Applying our AI research to enhance the YouTube experience. Helping enrich people’s lives with our research, we’ve partnered with businesses across Alphabet to apply our technology towards improving the products and services used by billions of people every day.

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Masks for COVID: Updating the evidence

fast.ai

These are notes I took whilst preparing a paper on mask efficacy from Nov 2021 to Jan 2022. In the end, I gave up on the paper, because I felt like people had given up on masks, so there wasn’t much point in finishing it. I’ve decided to publish these notes in the hope some people will find them a useful starting point for their own research, and since I’ve noticed some signs in recent weeks that people might be open to avoiding COVID again.

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DALL·E 2: Extending Creativity

OpenAI

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features. Creative professionals using DALL·E today range from illustrators, AR designers, and authors to chefs, landscape architects, tattoo artists, and clot

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How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

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15 Common AI Problem Types

Kavita Ganesan

One of the problems business leaders face in communicating with their technical counterparts is trying to describe their AI problem. To simplify some of the communication, here are some common AI problem types. Try to map AI opportunities at hand to these common problem types. Note that the problem types often overlap—but that’s ok. The key is to identify problem types that most closely match the task at hand when communicating with your AI and data science experts.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Best Practice of Using Data Science Competitions Skills to Improve Business Value

DataRobot Blog

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creati

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AlphaFold reveals the structure of the protein universe

DeepMind

Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology.

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Data Science as a Service

Wisdom Works

We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.

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DALL·E now available in beta

OpenAI

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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An Introductory Note on Principal Component Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction PCA, or Principal Component Analysis, is a term that is well-known to everyone. Notably employed for Curse of Dimensionality issues. In addition to this fundamental issue, there are other significant issues that we tackle in the PCA article. So, let’s start with […].

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How Do You Create A Sentiment Analysis Process?

Dlabs.ai

Are you planning to build a sentiment analysis but don’t know how to start? In this article, you will find 7 key steps that need to perform. 1. Choose your content First, you have to decide what kind of content you want to analyze. People express emotions differently in a movie review than in email correspondence, and the context influences the process design. 2.

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Autoscaling Deployment with MLOps

DataRobot Blog

Investing in AI/ML is no longer an option but is critical for organizations to remain competitive. However, machine learning utilization is often unpredictable, which makes scaling sometimes a huge challenge. Many engineering teams don’t pay the necessary attention to it. The main reason is that they don’t have a clear plan to scale things up from the beginning.

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Accelerating the race against antibiotic resistance

DeepMind

Most people who have access to a modern healthcare system would not consider a disease like bubonic plague to be a threat. Such bacterial infections are usually dealt with easily through modern antibiotics. Yet antibiotic resistance, where bacteria evolve the ability to defeat these drugs, is quickly becoming a global problem. With new antibiotics thin on the ground, scientists like Marcelo Sousa and Megan Mitchell at the University of Colorado Boulder are looking at a different approach: target

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Data Science as a Service

Wisdom Works

We have seen an increasing trend of companies wanting to explore the use of AI and Machine Learning but being unable to commit the level of funding and resources to build up a dedicated data science team and related infrastructure, tools and experience to invest in developing an AI capability. We see this resistance partly due to the uncertainty around the business value of use-cases they wish to explore.

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DALL·E Now Available in Beta

OpenAI

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15. Join DALL·E 2 waitlist DALL·E , the AI system that creates realistic images and art from a description in natural language, is now available in beta.

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Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job

Analytics Vidhya

Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.

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Does Artificial Intelligence Have Feelings?

Dlabs.ai

It’s baking hot (at least, it is here in Poland!), so we’re going to freshen things up with the latest news in artificial intelligence. One of the recent trending topics was the revelation that Google might have developed sentient AI. According to one Google engineer, the software can think, even feel, meaning we might be closer than ever to seeing living AI right here on Earth.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Bulk Labelling and Prodigy

Explosion

Prodigy is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. In this video, we'll show a b.

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AlphaFold unlocks one of the greatest puzzles in biology

DeepMind

When Pietro Fontana joined the Wu Lab at Harvard Medical School and Boston Children’s Hospital in May 2019, he had before him what has been called one of the world’s hardest, giant jigsaw puzzles. It was the task of piecing together a model of the nuclear pore complex, one of the largest molecular machines in human cells.

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nbdev+Quarto: A new secret weapon for productivity

fast.ai

Today we’re excited to announce that we’ve teamed up with Quarto to give nbdev superpowers.

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