2016, Article and Data Analysis - Data Science Current

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

This historical data will allow the function to analyze sales trends, product performance, and other relevant metrics over this seven-year period. Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables? Use order dates and news article publishing dates as you look for trends.

AWS

AWS AI AI SQL

What is the metalog distribution?

SAS Software

FEBRUARY 22, 2023

The metalog family of distributions (Keelin, Decision Analysis, 2016) is a flexible family that can model a wide range of continuous univariate data distributions when the data-generating mechanism is unknown. This article provides an overview of the metalog distributions.

Data Analysis

Data Analysis Data Analysis

Use the metalog distribution in SAS

SAS Software

MARCH 13, 2023

A previous article describes the metalog distribution (Keelin, 2016). The metalog distribution is a flexible family of distributions that can model a wide range of shapes for data distributions. This article shows how to use the metalog distribution in [.]

Data Analysis

Data Analysis Data Analysis

Data Analysis at Warp Speed: Explore the World of Polars

Mlearning.ai

JULY 9, 2023

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal ⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries.

Data Analysis

Data Analysis Data Analysis Python Data Scientist

How to tackle lack of data: an overview on transfer learning

Data Science Blog

FEBRUARY 23, 2023

Thus among fascinating deep learning topics, in this article I am going to pick up how to tackle lack of label or data themselves, and transfer learning. Such data are far from general datasets, and even labeling is hard in that case. We have to carefully tackle lack of data every time on each type of data in that case.

Supervised Learning

Supervised Learning Machine Learning Machine Learning Deep Learning

Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

APRIL 7, 2025

This not only speeds up content production but also allows human writers to focus on more creative and strategic tasks. - **Data Analysis and Summarization**: These models can quickly analyze large volumes of data, extract relevant information, and summarize findings in a readable format. billion to a projected $574.78

AWS

AWS Machine Learning Machine Learning ML

Technical Analysis is Changing Quickly in the Era of Big Data

Smart Data Collective

JULY 16, 2023

These companies have certainly benefited from big data, which explains why global financial companies spent $10.8 However, big data can also be very beneficial for regular people trying to make better personal financial decisions. Hazel Pan wrote an article for TechDay talking about how big data has helped with financial trading.

Big Data

Big Data Big Data Algorithm Data Analysis

Beyond the Checkered Flag: F1 Statistics Explored

Towards AI

NOVEMBER 17, 2023

Analyzing F1 from a fan and data science perspective could help gain useful insights. This inspired me to write this article and help unravel factors that constructors and drivers should focus on to improve their standings, if not win the World Championship. Remove erroneous values.

Tableau

Tableau Data Science Data Analysis Data Analysis

Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

ODSC - Open Data Science

FEBRUARY 20, 2023

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

Machine Learning

Machine Learning Machine Learning Data Science Python

How to Spot Misleading Charts, a Checklist

Tableau

NOVEMBER 14, 2023

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. There are different chart types appropriate for the type of data being presented.

Data Visualization

Data Visualization Tableau Data Analysis Data Analysis

How artificial intelligence went from science fiction to science itself?

Dataconomy

JUNE 15, 2023

In 2016, Google’s AI AlphaGo defeated Lee Sedol and Fan Hui, the European and world champions in the game of Go. Instead of manually coding rules as in expert systems, the focus shifted to allowing computers to independently discover patterns and correlations through large-scale data analysis.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning

Multivariate Time Series Forecasting

Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

Exploratory Data Analysis

Exploratory Data Analysis Data Analysis Data Analysis Data Visualization

AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

APRIL 18, 2023

In this article, we’ll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI. AlphaGo , the AI program that defeated the world champion at the game of Go in 2016.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning

Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

AWS Machine Learning Blog

JUNE 6, 2025

This section evaluates the following approaches to provide clarity on when to use each and why Text-to-SQL is optimal for deterministic, schema-based tasks: Retrieval Augmented Generation (RAG): Use case – Ideal for extracting insights from unstructured or semi-structured sources like documents or articles. Install Python 3.9

SQL

SQL Database AWS AI

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

AWS Machine Learning Blog

NOVEMBER 21, 2023

Building document processing and understanding solutions for financial and research reports, medical transcriptions, contracts, media articles, and so on requires extraction of information present in titles, headers, paragraphs, and so on. (That is, reading order from left to right and top to bottom.).

AI

AI AI Database AWS

Insights from the game of Go: Discussing ML prediction

Dataconomy

FEBRUARY 22, 2023

The decisive victory comes seven years after the AI system AlphaGo, devised by Google-owned research company DeepMind, defeated the world Go champion Lee Sedol by four games to one in 2016. Sedol attributed his retirement from Go three years later to the rise of AI, saying that it was “an entity that cannot be defeated.”

ML

ML ML Machine Learning Machine Learning

Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

FEBRUARY 15, 2023

While the amount of data available was limited, we have tried to solve the problem of generalization by using methods such as stopwords removal, tokenization, lemmatization, dropout and early stopping. Please do follow my page if you gained anything useful from the article. As a technical writer, every little bit helps. Manning C.

Cross Validation

Cross Validation Decision Trees Algorithm Natural Language Processing

Data Science Current

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

What is the metalog distribution?

Trending Sources

Use the metalog distribution in SAS

Data Analysis at Warp Speed: Explore the World of Polars

How to tackle lack of data: an overview on transfer learning

Llama 4 family of models from Meta are now available in SageMaker JumpStart

Technical Analysis is Changing Quickly in the Era of Big Data

Beyond the Checkered Flag: F1 Statistics Explored

Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

How to Spot Misleading Charts, a Checklist

How artificial intelligence went from science fiction to science itself?

Multivariate Time Series Forecasting

AI 101: A beginner’s guide to the basics of artificial intelligence

Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Insights from the game of Go: Discussing ML prediction

Text Classification in NLP using Cross Validation and BERT

Stay Connected