Analytics Vidhya

JANUARY 20, 2023

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?

Data Quality 376

Data Quality Machine Learning ML ETL 376

BAIR

JANUARY 20, 2023

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.

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Robotics Continuous Learning Algorithm 275

IBM Journey to AI blog

JANUARY 19, 2023

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.

Explainability 162

Explainability AI AI 162

AssemblyAI

JANUARY 19, 2023

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.

Python 130

Python Prompt Engineer Prompt Engineering Chatbots 130

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

Analytics Vidhya

JANUARY 15, 2023

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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IBM Journey to AI blog

JANUARY 17, 2023

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.

Data Integration 147

Data Integration Data Science Automation Metadata 147

AssemblyAI

JANUARY 17, 2023

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.

AI Research 130

AI Research AI Researcher Explainability AI 130

Analytics Vidhya

JANUARY 20, 2023

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

Machine Learning 341

Machine Learning Algorithm 341

Google Research AI blog

JANUARY 18, 2023

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.

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

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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?

Business Intelligence

IBM Journey to AI blog

JANUARY 17, 2023

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

Data Analysis 147

Data Analysis AI AI 147

Machine Learning Mastery

JANUARY 15, 2023

Last Updated on January 18, 2023 A single-layer neural network, also known as a single-layer perceptron, is the simplest type of neural network. It consists of only one layer of neurons, which are connected to the input layer and the output layer. In case of an image classifier, the input layer would be an image […] The post Building an Image Classifier with a Single-Layer Neural Network in PyTorch appeared first on MachineLearningMastery.com.

Neural Network 121

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Analytics Vidhya

JANUARY 16, 2023

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 […].

Artificial Intelligence 318

Artificial Intelligence Artificial Intelligence Data Science AI 318

Defined.ai blog

JANUARY 19, 2023

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.

Conversational AI 98

Conversational AI Natural Language Processing Big Data Automation 98

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

AI

IBM Journey to AI blog

JANUARY 18, 2023

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.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130

NYU Center for Data Science

JANUARY 20, 2023

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

Data Science 91

Data Science Explainability 91

Analytics Vidhya

JANUARY 20, 2023

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!

Data Science 323

Data Science Algorithm Python 323

databricks

JANUARY 17, 2023

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

ML 92

ML Data Science 92

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.

Business Intelligence

DataRobot Blog

JANUARY 17, 2023

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.

Data Scientist 87

Data Scientist Machine Learning Explainability ML 87

AWS Machine Learning Blog

JANUARY 17, 2023

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.

Software Engineer 93

Software Engineer ML Engineer ML Machine Learning 93

Analytics Vidhya

JANUARY 18, 2023

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 326

Python 326

databricks

JANUARY 17, 2023

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

AI 96

AI AI 96

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PyImageSearch

JANUARY 16, 2023

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

Computer Vision 85

Computer Vision Deep Learning Neural Network Algorithm 85

AWS Machine Learning Blog

JANUARY 17, 2023

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.

Categorization 81

Categorization BERT Machine Learning Neural Network 81

Analytics Vidhya

JANUARY 16, 2023

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.

Data Science 315

Data Science Python 315

databricks

JANUARY 19, 2023

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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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.

Generative AI

Uber AI

JANUARY 16, 2023

If you have read our previous article, ML Education at Uber: Frameworks Inspired by Engineering Principles, you have seen several examples of how Uber benefits from applying Engineering Principles to drive the ML Education Program’s content design and program frameworks. In this follow-up, we will dig deeper into what we believe to be other unique aspects of ML Education at Uber: our approach to Content Components, Content Delivery, Observability, and Marketing & Reach.

ML 74

ML AI AI 74

Eugene Yan

JANUARY 14, 2023

How to migrate and sync notes & images across devices

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Analytics Vidhya

JANUARY 17, 2023

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 […].

Artificial Intelligence 316

Artificial Intelligence Artificial Intelligence Data Science Natural Language Processing 316