Analytics Vidhya

JULY 18, 2022

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.

Data Science 399

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 399

DeepMind

JULY 18, 2022

We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA.

AI Researcher 57

AI Researcher AI Research Algorithm AI 57

fast.ai

JULY 20, 2022

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!

Deep Learning 59

Deep Learning 59

OpenAI

JULY 20, 2022

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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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

JULY 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language. Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […].

Natural Language Processing 397

Natural Language Processing Deep Learning NLP Data Science 397

Explosion

JULY 18, 2022

✨ New features and improvements Pass through Accelerate's saxpy/sgemm in AppleOps.cblas (#15, #21). Write in-place in AppleOps.gemm when the output argument is given (#19). ? Bug fixes Fix i.

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OpenAI

JULY 20, 2022

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.

Automation 52

Automation AI AI 52

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Dapps are decentralized – applications that allow one to communicate to the blockchain and perform specific actions. These have become an integral part of Web 3.0 due to their security, transparency, and ease of use. The fact that makes Dapps more interesting […].

Data Science 396

Data Science 396

DataRobot Blog

JULY 21, 2022

PDF. Download the Machine Learning Project Checklist. Download Now. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before. With only 87% of projects never making it to production, success hinges on diligent planning.

Machine Learning 98

Machine Learning Data Drift Categorization Data Scientist 98

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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

JULY 21, 2022

When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we created this highly innovative system, and today we’re sharing high-quality predictions for the shape of every single protein in the human body, as well as for the proteins of 20 additional organisms that scientists rely on for their research.

Explainability 57

Explainability 57

OpenAI

JULY 18, 2022

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population. This technique is applied at the system level when DALL·E is given a prompt describing a person that does not specify race or gender, like “firefighter.” Based on our internal evaluation, users were 12× more likely to say that DALL·E images included people of diverse backgrounds after the technique was

Software Engineer 52

Software Engineer Automation AI AI 52

Analytics Vidhya

JULY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A supermarket store named Big Mart opened a coffee shop inside the premises, and after the launch, it started seeing great transactions, and it was decided to have similar coffee shops at all the stores across the region for Big Mart. Big […]. The post Market Basket Analysis for Coffee Shop with Apriori appeared first on Analytics Vidhya.

Data Science 397

Data Science Python Machine Learning 397

DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. But there’s a catch. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework. At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that

Machine Learning 105

Machine Learning Data Scientist Automation AI Modeling 105

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

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Conversational AI tech has significantly evolved in the last decade, allowing many businesses to use virtual assistants, aka bots in the chat & voice mediums, to resolve customer queries. Several bot provider companies take many approaches to deploy & optimize virtual assistants […].

Conversational AI 380

Conversational AI Data Science AI AI 380

Analytics Vidhya

JULY 21, 2022

Introduction Eduardo Xamena is hosting a DataHour with us. He works as a Scientific Researcher at National Scientific and Technical Council, developing methods and architectures for information extraction and retrieval from enormous amounts of text. The history of the Argentinian Revolution and the number of complaints received by the Public Ministry of Salta are two […].

Python 378

Python Machine Learning 378

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning pipelines are always about learning and best accuracy achievement. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists.

Machine Learning 376

Machine Learning Data Scientist Data Science ML 376

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Image classification is the process of classifying and recognizing groups of pixels inside an image in line with pre-established principles. Using one or more spectral or text qualities is feasible while creating the classification regulations. Two popular types of categorization techniques are […].

Categorization 371

Categorization Data Science Computer Vision Deep Learning 371

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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.

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Image Credit: Datatechvibe Introduction The web contains a wealth of publicly available videos which can be utilized to train the RL agent for sequential domains like robotics, video games, computer use, etc. However, most of these videos only demonstrate a record of what […].

OpenAI 370

OpenAI Robotics Data Science Artificial Intelligence 370

Analytics Vidhya

JULY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction We are keeping forward with the PySpark series, where by far, we covered Data preprocessing techniques and various ML algorithms along with real-world consulting projects. In this article as well, we will work on another consulting project. Let’s take a scenario, Suppose […].

Data Science 357

Data Science Algorithm ML Python 357

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data acclimates to countless shapes and sizes to complete its journey from a source to a destination. Be it a streaming job or a batch job, ETL and ELT are irreplaceable. Before designing an ETL job, choosing optimal, performant, and cost-efficient tools […]. The post Developing an End-to-End Automated Data Pipeline appeared first on Analytics Vidhya.

Automation 353

Automation ETL Data Science 353

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Training and inference with large neural models are computationally expensive and time-consuming. While new tasks and models emerge so often for many application domains, the underlying documents being modeled stay mostly unaltered. In light of this, to improve the efficiency of future […].

Data Science 353

Data Science BERT NLP 353

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

JULY 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction Blockchain is a decentralized, distributed ledger that comprises blocks. The Blocks are connected to form a long chain. Each block comprises an address to the previous block and some information. The address part is done with the help of hashing. The information comprises […].

Data Science 350

Data Science 350

Analytics Vidhya

JULY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Don’t push people to where you want to be; meet them where they are. – Meghan Keaney Anderson, VP Marketing, Hubspot In the past few years, we have witnessed a drastic transformation in the marketing strategies employed by organizations across the globe. […].

Python 348

Python Data Science 348

Analytics Vidhya

JULY 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction to PostgreSQL PostgreSQL is one of the most often used languages for Object-Relational Database Management Systems. It is put to use mostly for huge web applications. It is an object-oriented, relational, open-source database system. It is incredibly potent and allows users to […].

Data Science 347

Data Science Python 347

Analytics Vidhya

JULY 17, 2022

This article was published as a part of the Data Science Blogathon. Why does a Machine Learning Model need to be interpretable? In this article, I will walk you through one technique that makes any machine learning model interpretable. Generally, there is a misconception that only linear machine learning models are more interpretable than others. The […].

Machine Learning 342

Machine Learning Data Science 342

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Data Analysis

Analytics Vidhya

JULY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction NonoDet – Plus is a Super fast, highly accurate – lightweight, and anchor-free object detection model, and it’s working in real-time on mobile devices. Before getting into knowing about Nanodet, we should know about FCOS (Fully Convolutional One-Stage Object Detection).

Data Science 337

Data Science Computer Vision Python 337

Analytics Vidhya

JULY 22, 2022

Introduction We are excited to have Shantam Saxena, who will host DataHour on our platform. He is a Data Scientist @Mckinsey & Company with over 5 years of experience, primarily working on NLP and related problems. He is currently pursuing a master’s degree in artificial intelligence at IIT Jodhpur and will begin his research on […].

NLP 337

NLP Data Scientist Artificial Intelligence Artificial Intelligence 337

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. BigQuery was first launched as a service in 2010, with general availability in November 2011. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

Data Science 333

Data Science 333