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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Data Science Project Quick-Start

Eugene Yan

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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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A Basic Introduction to Tensorflow in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].

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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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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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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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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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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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Lessons learned on language model safety and misuse

OpenAI

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

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A Basic Introduction to Activation Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity into a neuron’s output.

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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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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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Turning On Your Like Switch

NLPhilia

Rapport is a fundamental NLP skill, and if you can’t get rapport with the person you’re helping — or who is helping you — everything is much, much more difficult. I doubt you’ve been in a more difficult situation that Dr. Jack Schafer, though. He is a former Supervisory Special Agent with the FBI, and part of his job was turning foreign spies into double-agents.

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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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skweak v0.3.1

Explosion

skweak: A software toolkit for weak supervision applied to NLP tasks - GitHub - NorskRegnesentral/skweak: skweak: A software toolkit for weak supervision applied to NLP tasks

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