March, 2022

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DogeCoin Prediction Using Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].

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Engineering a Successful New Car: Starting a New F1 Season with McLaren Racing

DataRobot Blog

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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Predicting the past with Ithaca

DeepMind

The birth of human writing marked the dawn of History and is crucial to our understanding of past civilisations and the world we live in today. For example, more than 2,500 years ago, the Greeks began writing on stone, pottery, and metal to document everything from leases and laws to calendars and oracles, giving a detailed insight into the Mediterranean region.

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Data Science Project Quick-Start

Eugene Yan

Hard-won lessons on how to start data science projects effectively.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Dadmfers Background Mfers Contract Review

StreamHacker

dadmfers is the first mfers derivative project, and they just recently released BackgroundMfers , a series of dadmfers inspired banner images. This required a new contract, with some additional complexity because of the number of mint options. The contract provides 5 separate minting functions for getting your background mfers NFTs: Public mint for anyone Mfer mint, for anyone that has mfers, at a reduced price Whitelist mint, free anyone on their list Dadmfers v1 mint for free Dadmfers v2 mint

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Let’s Find Out How to Make Engaging Videos?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

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GRAMMY Predictions 2022: Composing DataRobot Blueprints

DataRobot Blog

This blog is meant to be a fun take on predicting Song and Record of the Year for the 64th Annual GRAMMY Awards. It’s that time of year again. The GRAMMY awards are right around the corner, which means that we have yet another opportunity to leverage DataRobot to make some fun predictions as to who will win Song and Record of the Year. Last year, Billie Eilish went back-to-back, winning Record of the Year for her smash hit “everything i wanted,” and H.E.R took home Song of the Year for her power

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Predicting the past with Ithaca

DeepMind

The birth of human writing marked the dawn of History and is crucial to our understanding of past civilisations and the world we live in today. For example, more than 2,500 years ago, the Greeks began writing on stone, pottery, and metal to document everything from leases and laws to calendars and oracles, giving a detailed insight into the Mediterranean region.

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Traversing High-Level Intent and Low-Level Requirements

Eugene Yan

How they differ and why they work better in different situations.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Grading Complex Interactive Coding Programs with Reinforcement Learning

The Stanford AI Lab Blog

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. The practical machine learning knowledge accumulated in developing these algorithms has paved the way for people to now routinely train game-playing AI agents for many games.

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Is Facial Recognition Making the Innocent Look Guilty?

Dlabs.ai

If you follow DLabs.AI on LinkedIn, you might have noticed we publish a series there called ‘InsideAI.’ As we want as many readers to enjoy it as possible, we’ve now decided to post it on our blog too. For the uninitiated: InsideAI is our monthly newsletter that captures the most interesting, surprising, and important news from the previous four weeks in the wonderful world of AI, so this month, it includes everything that caught our eye in February.

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Audio Denoiser: A Speech Enhancement Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

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Continuous AI Adapts to a Changing World

DataRobot Blog

Over the past several years, AI has gone from obscurity to headline news but not always for the right reasons. While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. “Despite the promise of AI, many organizations’ efforts fall short…only 8% of firms engage in core practices that support widespread adoption,” says McKinsey.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Learning Robust Real-Time Cultural Transmission without Human Data

DeepMind

In this work, we use deep reinforcement learning to generate artificial agents capable of test-time cultural transmission. Once trained, our agents can infer and recall navigational knowledge demonstrated by experts. This knowledge transfer happens in real time and generalises across a vast space of previously unseen tasks.

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There’s no such thing as not a math person

fast.ai

On the surface, I may seem into math: I have a math PhD, taught a graduate computational linear algebra course, co-founded AI research lab fast.ai , and even go by the twitter handle @math_rachel.

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Gamification in AI?—?How Learning is Just a Game

Applied Data Science

Gamification in AI — How Learning is Just a Game A walkthrough from Minsky’s Society of Mind to today’s renaissance of multi-agent AI systems. ⁍ Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come.

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11 Books Every Data Scientist Must Read In 2023

Dlabs.ai

While knowledge of statistics and programming is a must-have for every data scientist , non-technical skills can also help you do the job. One particularly useful attribute is being business-minded, as proven in our article “5 Most In-Demand Skills for Data Scientists.” Now, you may be asking how you can acquire such a broad skill set? And that’s why we’ve prepared a list of resources to help you on your way.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Background Removal in the Image using the Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

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DataRobot Joins the AWS ISV Workload Migration Program

DataRobot Blog

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case. The model can then be deployed, managed, monitored and automatically re-trained by the platform. As companies make the move to a cloud native architecture it is important to find appropriate workloads to move; Machine Learning is a great candidate to sta

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Learning Robust Real-Time Cultural Transmission without Human Data

DeepMind

In this work, we use deep reinforcement learning to generate artificial agents capable of test-time cultural transmission. Once trained, our agents can infer and recall navigational knowledge demonstrated by experts. This knowledge transfer happens in real time and generalises across a vast space of previously unseen tasks.

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7 Great Lightning Talks Related to Data Science Ethics

fast.ai

I have been organizing and facilitating a series of Ethics Workshops for the Australian Data Science Network , featuring lightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Our Support for Ukraine

Wisdom Works

We have already posted an article recently on the use of technology in War (see our AI FUTURE SHOW newsletter ). But we wanted to make a more positive statement in support of Ukraine. Like the larger technology consultancy firms, we also wish to confirm that we do not and will not work with any Russian entity. For transparency; We already partner with several European firms, including companies based in Poland.

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Deploying Machine Learning models using GCP's Google AI Platform - A Detailed Tutorial

Shreyansh Singh

In my last post I had written about deploying models on AWS. So, I though it would only be fitting to write one for GCP, for all the GCP lovers out there. GCP has a service called the AI Platform which, as the name suggest, is responsible for training and hosting ML/AI models. Just like the last post, this post, through a PoC, describes - How to add a trained model to a Google Cloud bucket Host the saved model on the AI Platform Create a Service Account to use the model hosted on AI Platform ext

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Keyword Extraction Methods from Documents in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

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Mission Critical Innovation: DataRobot 8.0 for the AI-driven Business

DataRobot Blog

Businesses today operate under greater pressure and greater uncertainty than ever before. An uncertain geopolitical climate, an unpredictable and fragile supply chain, the prolonged response to an evolving pandemic, and the shifting dynamics of a globally distributed workforce have all contributed to unprecedented challenges for businesses across industries.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Applied Language Technology

Explosion

Extensive online course on applied language technology with spaCy by Tuomo Hiippala, designed for students new to NLP and programming.

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GopherCite: Teaching language models to support answers with verified quotes

DeepMind

Language models like Gopher can “hallucinate” facts that appear plausible but are actually fake. Those who are familiar with this problem know to do their own fact-checking, rather than trusting what language models say. Those who are not, may end up believing something that isn’t true. This paper describes GopherCite, a model which aims to address the problem of language model hallucination.

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Our Support for Ukraine

Wisdom Works

We have already posted an article recently on the use of technology in War (see our AI FUTURE SHOW newsletter ). But we wanted to make a more positive statement in support of Ukraine. Like the larger technology consultancy firms, we also wish to confirm that we do not and will not work with any Russian entity. For transparency; We already partner with several European firms, including companies based in Poland.