Analytics Vidhya

NOVEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Overview. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data. We will analyze the relationship between […]. The post Building an end-to-end Polynomial Regression Model in R appeared first on Analytics Vidhya.

Data Science 400

Data Science 400

Eugene Yan

NOVEMBER 27, 2021

Met most of my goals, adopted a puppy, and built ApplyingML.com.

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130

Lexalytics

NOVEMBER 23, 2021

With the rise of natural disasters exacerbated by climate change, governments and agencies struggle to coordinate effective relief programs. Artificial intelligence (AI), machine learning ( ML ), and natural language processing ( NLP ) can help. Here’s how. The cost of natural disasters is at an all-time high Natural disasters wreak havoc around the world every year.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 98

DeepMind

NOVEMBER 1, 2021

When people picture a world with artificial general intelligence (AGI), robots are more likely to come to mind than enabling solutions to society’s most intractable problems. But I believe the latter is much closer to the truth. AI is already enabling huge leaps in tackling fundamental challenges: from solving protein folding to predicting accurate weather patterns, scientists are increasingly using AI to deduce the rules and principles that underpin highly complex real-world domains - ones they

Robotics 70

Robotics AI AI 70

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.

Dlabs.ai

NOVEMBER 29, 2021

Artificial intelligence is an invaluable educational resource. The technology enables students to follow guided, hyper-personalized paths, delivering just the right difficulty level for them to learn at their best. After all, overly simple — or excessively demanding — materials only irritate, even overwhelm, students. In contrast, if the appropriate resources push students just far enough, they will become more focused and, consequently, more willing to learn.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Analytics Vidhya

NOVEMBER 21, 2021

This article was published as a part of the Data Science Blogathon. Humankind has always looked up to the stars. Since the dawn of civilization, we have mapped constellations, named planets after Gods and so on. We have seen signs and visions in celestial bodies. In the previous century, we finally had the technology to […]. The post Using Data Visualization to Explore the Human Space Race!

Data Science 400

Data Science Data Analysis Visual AI AI 400

Eugene Yan

NOVEMBER 24, 2021

More than two dozen interviews with ML Practitioners sharing their stories and advice

ML 100

ML 100

Explosion

NOVEMBER 16, 2021

Machine Learning Engineers who turn prototypes into production-ready software face difficulties with the lack of tooling and best-practices. spaCy v3, with its configuration and project system, introduced a way to solve this problem. Here’s my take on how it works, and how it can ramp-up your team! I’ve been using spaCy for a few years now, as I did a lot of NLP projects both during my studies and previous work.

NLP 52

NLP Python Machine Learning Software Engineer 52

DeepMind

NOVEMBER 30, 2021

More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.

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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

Dlabs.ai

NOVEMBER 17, 2021

Product: Google Cloud We are happy to announce that DLabs.AI joined the Google Cloud Partner Advantage Program as a Service Partner. As a Google Cloud partner, DLabs.AI offers its customers the ability to quickly and easily transform their current environment to a reliable, innovative cloud infrastructure. Its machine learning, big data and cloud engineering expertise, combined with the various capabilities Google Cloud offers, will allow DLabs.AI to deliver the best solutions to customers and

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Neural Network Natural Language Processing Software Development Big Data 52

fast.ai

NOVEMBER 3, 2021

Things can go disastrously wrong in data science and machine learning projects when we undervalue data work, use data in contexts that it wasn’t gathered for, or ignore the crucial role that humans play in the data science pipeline. A new multi-university centre focused on Information Resilience , funded by the Australian government’s top scientific funding body (ARC), has recently launched.

Data Science 52

Data Science Machine Learning AI AI 52

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.

Python 400

Python Data Science Computer Vision 400

Eugene Yan

NOVEMBER 6, 2021

Susan shares 5 lessons she gained from writing online in public over the past year.

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100

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

Explosion

NOVEMBER 4, 2021

We’re pleased to present v3.2 of the spaCy Natural Language Processing library. Since v3.1 we’ve added usability improvements for custom training and scoring, improved performance on Apple M1 and Nvidia GPU hardware, and support for space-efficient vectors using floret , our new hash embedding extension to fastText. The spaCy team has gotten a lot bigger this year, and we’ve got lots of exciting features and examples coming up, including example projects for data augmentation and model distillat

NLP 52

NLP Natural Language Processing Python 52

DeepMind

NOVEMBER 30, 2021

Our main results prove that while reward can express many tasks, there exist instances of each task type that no Markov reward function can capture. We then provide a set of polynomial-time algorithms that construct a reward function which allows an agent to optimize tasks of each of these three types, and correctly determine when no such reward function exists.

Algorithm 57

Algorithm 57

Dlabs.ai

NOVEMBER 14, 2021

According to the IDF Diabetes Atlas Report , there are over 537 million adults with diabetes worldwide. And that number is only rising. By 2045, forecasts suggest some 784 million adults will have the illness. That said, there’s nothing to stop them from living a normal life. Diabetics just have to factor in one consideration: monitoring their health on a daily basis.

Automation 52

Automation 52

James Thorn

NOVEMBER 14, 2021

Learn how to contribute to the Parchain auction of the Manta Network project and the possible ROI of the Investment Continue reading on Medium »

Explainability 52

Explainability 52

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Analytics Vidhya

NOVEMBER 21, 2021

This article was published as a part of the Data Science Blogathon. What is Power BI? Microsoft‘s business analytics product, Power BI, delivers interactive data visualization BI capabilities that allow users to see and share data and insights throughout their organisation. Power BI provides insight data by using data interactively and exploring it by visualizations. […].

Data Analysis 400

Data Analysis Data Science 400

fast.ai

NOVEMBER 22, 2021

The phrase “data science for social good” is a broad umbrella, ambiguously defined. As many others have pointed out , the term often fails to specify good for whom. Data science for social good can be used to refer to: nonprofits increasing their impact through more effective data use, hollow corporate PR efforts from big tech, well-intentioned projects that inadvertently result in surveillance and privacy invasion of marginalized groups, efforts seeped in colonialism, or many other types of pro

Data Science 40

Data Science AI AI 40

Explosion

NOVEMBER 23, 2021

We are happy to introduce a new, experimental, machine learning-based lemmatizer that posts accuracies above 95% for many languages. This lemmatizer learns to predict lemmatization rules from a corpus of examples and removes the need to write an exhaustive set of per-language lemmatization rules.

Machine Learning 40

Machine Learning 40

DeepMind

NOVEMBER 30, 2021

More than a century ago, Srinivasa Ramanujan shocked the mathematical world with his extraordinary ability to see remarkable patterns in numbers that no one else could see. The self-taught mathematician from India described his insights as deeply intuitive and spiritual, and patterns often came to him in vivid dreams.

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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

Dlabs.ai

NOVEMBER 3, 2021

When Amazon introduced ‘ 1-click ’ in 1997, retailers trembled. The innovation gave customers a way to purchase anything from the eCommerce store with just one click. And the feature soon set the standard for buying anything online. Fast forward to today, and expectations have shifted again. Consumers now think that retailers should know what they want, often before they realize it themselves.

Big Data 52

Big Data Artificial Intelligence Artificial Intelligence Algorithm 52

James Thorn

NOVEMBER 7, 2021

Learn how to contribute to the Parchain auction of the Acala team and the possible ROI of the Investment Continue reading on Medium »

Explainability 52

Explainability 52

Analytics Vidhya

NOVEMBER 18, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Sankey Diagram for Data Visualization Very often, we are in a situation where we would have to visualize how data flows between entities. For example, let’s take the case of how residents have migrated from one country to another within the […]. The post Here’s How to use Sankey Diagrams for Data Visualization appeared first on Analytics Vidhya.

Data Science 400

Data Science Python 400

The Stanford AI Lab Blog

NOVEMBER 5, 2021

The Conference on Robot Learning (CoRL 2021) will take place next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford! List of Accepted Papers LILA: Language-Informed Latent Actions Authors : Siddharth Karamcheti*, Megha Srivastava*, Percy Liang, Dorsa Sadigh Contact : skaramcheti@cs.stanford.edu, megha@c

Robotics 40

Robotics AI AI 40

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Data Analysis

Explosion

NOVEMBER 16, 2021

The road to production has become increasingly harder. Machine Learning Engineers who turn prototypes into production-ready software face difficulties with the lack of tooling and best-practices. spaCy v3, with its configuration and project system, introduced a way to solve this problem. Here's my take on how it works, and how it can ramp-up your team!

Machine Learning 40

Machine Learning 40

DeepMind

NOVEMBER 1, 2021

When people picture a world with artificial general intelligence (AGI), robots are more likely to come to mind than enabling solutions to society’s most intractable problems. But I believe the latter is much closer to the truth. AI is already enabling huge leaps in tackling fundamental challenges: from solving protein folding to predicting accurate weather patterns, scientists are increasingly using AI to deduce the rules and principles that underpin highly complex real-world domains - ones they

Robotics 57

Robotics AI AI 57

Analytics Vidhya

NOVEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. These algorithms are decision trees and random forests. At the outset, the basic features and the concepts involved would be discussed followed by a […].

Machine Learning 399

Machine Learning Algorithm Data Science Python 399