Sat.Jan 14, 2023 - Fri.Jan 20, 2023

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What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

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Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

BAIR

Reinforcement learning provides a conceptual framework for autonomous agents to learn from experience, analogously to how one might train a pet with treats. But practical applications of reinforcement learning are often far from natural: instead of using RL to learn through trial and error by actually attempting the desired task, typical RL applications use a separate (usually simulated) training phase.

Robotics 275
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Make data protection a 2023 competitive differentiator

IBM Journey to AI blog

Data privacy regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the state of California, are inescapable. By 2024, for instance, 75% of the entire world’s population will have its personal data protected by encryption, multifactor authentication, masking and erasure, as well as data resilience.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly Media

What would you say is the job of a software developer? A layperson, an entry-level developer, or even someone who hires developers will tell you that job is to … well … write software. Pretty simple. An experienced practitioner will tell you something very different. They’d say that the job involves writing some software, sure. But deep down it’s about the purpose of software.

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The Ultimate Blueprint for an AI-First Contact Center

Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.

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Ensemble Learning Methods: Bagging, Boosting and Stacking

Analytics Vidhya

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model. Bagging, boosting and stacking are the three most popular ensemble learning techniques. […] The post Ensemble Learning Methods: Bagging, Boosting and Stacking appeared first on Analytics Vidhy

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Four starting points to transform your organization into a data-driven enterprise

IBM Journey to AI blog

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series. I’ve always been interested in computers because of their ability to help people better understand the world around them.

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Complete Guide to Ethereum Blockchain with Python

Analytics Vidhya

Introduction We have internet access in every corner of the country. Almost all businesses around us, like manufacturing, retail, consultancy, etc., are trying to go digital and display themselves on the web to scale and increase sales. If you want to know anything about your surroundings, then the internet is the first choice we prefer. […]. The post Complete Guide to Ethereum Blockchain with Python appeared first on Analytics Vidhya.

Python 346
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Build a free Stable Diffusion app with a GPU backend

AssemblyAI

Stable Diffusion allows you to create incredible images like the one below with only a sentence; but it requires a GPU to run in a reasonable amount of time. Since GPUs are expensive and in short supply, many users opt to instead pay for credits in a web app like DreamStudio in order to use Stable Diffusion in the cloud. Luckily, users do not need to pay for either of these options.

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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

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It’s 2023… are you still planning and reporting from spreadsheets?

IBM Journey to AI blog

I have worked with IBM Planning Analytics with Watson , the platform formerly known as TM1, for over 20 years. I have never been more excited to share in our customers’ enthusiasm for this solution and how it is revolutionising many manual, disconnected, and convoluted processes to support an organisation’s planning and decision-making activities. Over the last few months, we have been collecting stories from our customers and projects delivered in 2022 and hearing the feedback on how IBM Planni

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Goodbye Roam Research, Hello Obsidian

Eugene Yan

How to migrate and sync notes & images across devices

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AWS Lambda Tutorial: Creating Your First Lambda Function

Analytics Vidhya

Introduction to AWS AWS, or Amazon Web Services, is one of the world’s most widely used cloud service providers. It is a cloud platform that provides a wide variety of services that can be used together to create highly scalable applications. AWS has many clusters of data centers in multiple countries across the globe. These […]. The post AWS Lambda Tutorial: Creating Your First Lambda Function appeared first on Analytics Vidhya.

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AI research review – Locating and Editing Factual Associations in GPT

AssemblyAI

This week’s AI Research Review is Locating and Editing Factual Associations in GPT. What’s Exciting About this Paper In this paper , the authors show that facts in GPT can be localized and that individual facts can be changed. Key Findings This paper touches on the old question: Can we localize where the knowledge in a network is? Obviously, GPT has learned facts about our world.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged. It was Datawarehouse. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity.

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Clinical Associate Professor of Data Science and Psychology Pascal Wallisch tackles Twitter’s most…

NYU Center for Data Science

Clinical Associate Professor of Data Science and Psychology Pascal Wallisch tackles Twitter’s most pressing questions about visual illusions for Wired The visual perception expert explains the science behind blivets, motion-induced blindness, mirages, the viral dress image, and more Clinical Associate Professor of Data Science and Psychology, Pascal Wallisch When Clinical Associate Professor of Data Science and Psychology Pascal Wallisch received an email from Wired looking for “tech support exp

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Data Science and Artificial Intelligence in 2023 – Difference, Applications, & Job Trajectory

Analytics Vidhya

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

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New Built-in Functions for Databricks SQL

databricks

Built-in functions extend the power of SQL with specific transformations of values for common needs and use cases. For example, the LOG10 function.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Accelerat.ai: a small data, smart data approach

Defined.ai blog

With its limitless potential to drive future growth , competitiveness, and job creation, AI is predicted to become the competitive advantage of the 21st century. As a result, AI innovation and adoption have emerged as key to international competition in both economic and state applications. Europe remains behind in the AI race According to AI Watch Index , Europe continues to lag behind the US and China in global AI power, despite recent healthy investment growth.

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Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK

AWS Machine Learning Blog

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments, compare results, and deploy ML models for inference.

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Unlock Learnings with the January DataHour Sessions!

Analytics Vidhya

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem. In mind, Analytics Vidhya has launched the DataHour sessions, which will improve your domain knowledge and help you […] The post Unlock Learnings with the January DataHour Sessions!

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Easy Ingestion to Lakehouse With COPY INTO

databricks

A new data management architecture known as the data lakehouse emerged independently across many organizations and use cases to support AI and BI.

AI 98
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The New CX: Your Guide to AI Agents

The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp

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A Data Scientist Explains: When Does Machine Learning Work Well in Financial Markets?

DataRobot Blog

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning Blog

Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. Understanding customer behavior is top of mind for every business today. Gaining insights into why and how customers buy can help grow revenue. Customer churn is a problem faced by a wide range of companies, from telecommunications to banking, where customers are typically lost to competitors.

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Governing Ethical AI: Rules & Regulations Preventing Unethical AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants. However, as AI technology advances, it is crucial to consider the ethical implications of its development and use. The use of AI […].

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What’s New With SQL User-Defined Functions

databricks

Since their initial release, SQL user-defined functions have become hugely popular among both Databricks Runtime and Databricks SQL customers. This simple yet powerful.

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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Scaling Kaggle Competitions Using XGBoost: Part 3

PyImageSearch

Table of Contents Scaling Kaggle Competitions Using XGBoost: Part 3 Gradient Boost at a Glance AdaBoost vs. Gradient Boosting Gradient Boosting Dissected Configuring Your Development Environment Having Problems Configuring Your Development Environment? Setting Up Our Project Comparing XGboost and Gradient Boost Results Summary Citation Information Scaling Kaggle Competitions Using XGBoost: Part 3 We continue our journey into understanding XGBoost, but there is one penultimate stop we need to mak

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­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker

AWS Machine Learning Blog

This post is co-written by Christopher Diaz, Sam Kinard, Jaime Hidalgo and Daniel Suarez from CCC Intelligent Solutions. In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. CCC is a leading software-as-a-service (SaaS) platform for the multi-trillion-dollar property and casualty insurance economy powering operations for ins

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Unveiling Financial Insights: A Financial EDA Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Once upon a time, there was an individual trader named Anand. He was a novice in the finance industry, and like many traders, he struggled to find a consistent and profitable trading strategy. Anand was determined to improve his skills and searched […]. The post Unveiling Financial Insights: A Financial EDA Journey appeared first on Analytics Vidhya.