Flipboard

SEPTEMBER 13, 2023

In which categories do incumbents dominate—and where are new companies breaking out? Thus, this ranking serves as a tool to identify and understand category trends, and not as an exhaustive ranking of all consumer AI platforms. Alongside ChatGPT, this category includes Google’s Bard and Quora’s Poe, all ranked in the top 5.

AI 181

AI AI 181

phData

SEPTEMBER 11, 2023

For example, Region and State or Category and Sub-Category. When filters are added like this, you will lose some much-needed context regarding which sub-categories roll up to which category. Step 1: Build the Hierarchy The Levels field has an extra value than what is needed here.

Tableau 52

Tableau 52

Dataversity

FEBRUARY 26, 2024

Over the past decade, the value of data has increased exponentially. Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data. Data has always been a driving factor for organizations.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

AWS 76

AWS ML ML Machine Learning 76

Mlearning.ai

AUGUST 13, 2023

cumsum() # Creating ABC Segmentation based on Cummulative Percentage column df_qty['Category'] = list(map(lambda x: 'A' if x < 0.75 else 'C'), df_qty['Cum_Perc'])) Summarizing, we are going to get the quantity of product types that represents 75% of sales volumes, for Category A. value_counts().sort_values()

Python 52

Python Data Analysis Data Analysis AI 52

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 52

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Precisely

DECEMBER 12, 2023

Classic Black Friday categories like Electronics, Sporting Goods, and Department Stores enjoyed a major traffic boost on the shopping holiday, but the retail category didn’t see much lift over last year’s traffic. Beauty Supply was the only category that saw the opposite effect, aligning with increased YoY traffic.

Analytics 63

Analytics Analytics 63

Mlearning.ai

JULY 19, 2023

Balanced Dataset: A dataset is considered balanced when two or more categories are equally or nearly equally represented within the dataset. For instance, imagine a dataset where we aim to predict whether a person belongs to category A or B based on their food habits. The ratio of predicted values in this case is 1:1.

Supervised Learning 52

Supervised Learning ML ML Data Science 52

phData

OCTOBER 3, 2023

Step 1: Understand the Basics On a new sheet, create a bar chart by dragging the Category and Sub-Category fields in the Rows shelf and adding Profit in the Columns shelf. Option 1 Drag the [Sub-Category Set] in the Color section of the Marks card. You can now color the bars based on which sub-categories are in the set.

Tableau 59

Tableau 59

Data Science Dojo

JANUARY 27, 2023

It’s also important to track sales revenue by individual product, category, or sales rep to understand the performance of different areas of the business. Tracking sales revenue can help teams to identify trends in sales performance and can be used to set and track sales goals.

Big Data 195

Big Data Big Data Data Science 195

Data Science Dojo

JANUARY 25, 2023

Check for duplicates and remove any identical values within a row or column. Still, the appropriate metric will depend on the specific task and the characteristics of your data input, broken down into two categories: classification and regression metrics. Root mean squared error (RMSE) – The square root of the MSE.

Machine Learning 195

Machine Learning Machine Learning Database ML 195

Mlearning.ai

APRIL 17, 2023

In addition to the distribution of target value, it is also noteworthy to know how much the tolerance for false negatives or false positives is. For categorical features, we grouped each category and calculated the mean of the target prediction match and the mean difference between tthe target and predicted probability. 1466 Yes 0.71

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

Towards AI

APRIL 7, 2024

It provides a wide range of visualizations/summarizations such as a Pearson's correlation matrix ( shows how different columns contribute to each other’s output), distribution of different values and many more! Missing Values. as of the date of completion for this project) package.

Machine Learning 121

Machine Learning Machine Learning Exploratory Data Analysis EDA 121

phData

OCTOBER 26, 2023

As explained in this topic’s sister blog , effectively splitting data into categories is very important for effective analysis. These custom categories are required to be MECE (Mutually Exclusive and Collectively Exhaustive) in most business scenarios. As you can see, the conditions in these categories have considerable overlap.

Tableau 52

Tableau 52

phData

OCTOBER 13, 2023

Step 2: Create the Parameter Create a new parameter with the following settings: Name: Subcat Parameter Data Type: String Current Value: ALL (in all caps) Value when workbook opens: Current Value Allowable values: All Step 3: Create 5 New Calculations that Will be Used in our Sheets 1. FALSE FALSE 5.

Tableau 52

Tableau Data Visualization 52

Pickl AI

APRIL 11, 2023

The broader classification of variables falls under the following categories: Qualitative variable -It includes the data that doesn’t hold a quantifiable or numerical value. Nominal and ordinal variables are sub-categories of qualitative variables. Each of the variable holds some value. For example: Age: 27.5,

Data Science 52

Data Science Data Scientist Data Visualization Data Analysis 52

Hacker News

JULY 10, 2023

The purpose of this study was to develop normative values for Army Physical Fitness Test (APFT) events and to demonstrate the use of these normative values. Data were separated into the age and gender categories on which the current APFT standards are based (17-21, 22-26, 27-31, 32-36, 37-41, 42-46, 47-51, >52 years).

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phData

OCTOBER 17, 2023

All human languages and cultures divide the world into categories. These categories are of paramount importance when it comes to analyzing all other metrics. As a Tableau developer, you must have come across a scenario wherein you are required to split your data into custom categories multiple times. Convert this to Discrete.

Tableau 52

Tableau 52

Pickl AI

MARCH 15, 2024

Numerical values can be used for calculations, while dates allow for time-based analysis and visualizations. Tableau Data Types Family Let’s delve deeper into how each data type is used: String Values They are great for labelling data points, categorizing information (e.g., Ensure consistent formatting (e.g.,

Tableau 52

Tableau Data Visualization Data Analyst Analytics 52

Dataconomy

SEPTEMBER 29, 2023

MICROHARVEST (2022 AG/Food Tech Category Winner): A trailblazer in sustainable protein production through microorganisms, MicroHarvest is on a mission to build the resilient food system of tomorrow, earning widespread acclaim and enhancing the visibility of their pioneering value proposition.

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Towards AI

FEBRUARY 26, 2024

Data Pre-Processing Handling Missing Values Encoding Categorical Variables Feature Scaling Data Splitting (Training and Validation) 4. patches: value = int(p.get_height()) ax[i].annotate(f'{value: patches: value = int(p.get_height()) ax[i].annotate(f'{value: id’: Unique identifier for each horse. get_ylim()[1] ax[i].set_ylim(top=ylim_top

Machine Learning 105

Machine Learning Machine Learning Exploratory Data Analysis Data Analysis 105

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. Humility as a Dimension of Trust in Operations.

AI 90

AI AI 90

Smart Data Collective

JANUARY 29, 2021

These are the tricks that SEO agencies utilize to drive results for their clients and I am positive that you can do the same: Assign Monetary Value to Goals. While setting up Goals on Google Analytics is a fairly popular practice, few marketers and website owners go through the trouble of associating a dollar value to their goals.

Analytics 115

Analytics Analytics Algorithm 115

IBM Journey to AI blog

MARCH 27, 2024

Scope 3 emissions , also called indirect emissions, encompass greenhouse gas emissions (GHG) that occur in an organization’s value chain and as such, are not under its direct operational control or ownership. This makes the manual mapping of the commodity/service to product/service category extremely hard, if not impossible.

Natural Language Processing 74

Natural Language Processing Data Preparation Deep Learning Deep Learning 74

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? The solution is geo addressing value. Well, address challenges can often be traced to human error.

Big Data Analytics 58

Big Data Analytics Big Data Analytics Analytics Analytics 58

Heartbeat

JANUARY 24, 2024

The bar height for each bin is then calculated based on the number of values inside that bin’s range. It provides a KDE (Kernel Density Estimation) over the histogram that describes the PDF (Probability Density Function) or the likelihood that each value in this column will occur. Each category’s count is plotted as a separate bar.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Data Analysis Data Analysis 52

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? The solution is geo addressing value. Well, address challenges can often be traced to human error.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Analytics Analytics 52

Towards AI

MARCH 21, 2023

For example, you can use pandas.melt() to turn multiple columns (“Aldi”, “Walmart”, “Costco”) into values of one column (“store”). price size L 19.000 M 10.000 S 36.995 mean_price size L 19.000 M 10.000 S 36.995 11: Normalized Value Counts If you want to get the count of a value in a column, use value_counts. orange apple 0 31.0

Data Scientist 98

Data Scientist Data Analyst AI AI 98

Towards AI

FEBRUARY 25, 2023

Pandas have 7 types in general: object, int64, float64, category, and datetime64 are going to be covered in this article. bool: True/False values. KB Missing Values Missing data (or missing values) is defined as the data value that is not stored for a variable in the observation of interest.

Data Analysis 98

Data Analysis Data Analysis Exploratory Data Analysis Data Science 98

Mlearning.ai

AUGUST 1, 2023

Identify frequently queried fields and create indexes to speed up data retrieval: collection.create_index("name") collection.create_index("category") 5. It allows you to perform complex operations on large datasets efficiently. Utilize Indexes Indexes play a vital role in optimizing query performance.

Data Science 52

Data Science Database Data Scientist Data Analysis 52

IBM Journey to AI blog

FEBRUARY 2, 2024

Not an easy task when you need to celebrate the achievements and stories of more than 1,000 nominees across nearly 100 categories. Next they select an artist or award category to feature, the subject of the post, such as biographical information, GRAMMY achievements, or philanthropic causes, and any topics to exclude from the output.

AI 60

AI AI Analytics Analytics 60

Pickl AI

MARCH 26, 2024

Key considerations include optimal K value selection, appropriate distance metrics, and preprocessing techniques. Text Categorisation: Utilising KNN, text data can be efficiently classified into predefined categories, aiding in tasks such as spam detection, sentiment analysis, and document classification.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Becoming Human

AUGUST 15, 2023

Instead, it is a fundamental tool for classification tasks, helping us predict whether something belongs to one of two categories, like yes/no, true/false, or spam/not spam. The term “regression” might be misleading, as it is not used for predicting continuous values like in linear regression. What is Logistic Regression?

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

Alation

SEPTEMBER 8, 2022

When it comes to the cloud, you want verifiable value — not a data diaspora. Overall, this partnership helps AWS customers speed cloud migration, leverage the latest cloud innovations, and deliver the full value of their data. At the same time, allowing users to draw the full value from data they can trust. Conclusion.

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AWS Analytics Analytics Data Governance 52

Dataconomy

SEPTEMBER 22, 2023

Once identified, the data is classified into categories to ensure it’s stored in a way that makes it easy to retrieve and manage. Anomaly detection Anomaly detection is a crucial process aimed at pinpointing data points that deviate from the anticipated or typical value ranges.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

Iguazio

MARCH 31, 2024

A redistribution of profit pools through a new layer of AIaaS in the value chain. This could enable solutions like ChatGPT that replace entire value chains, low-cost native AI startups that quickly create new solutions at low costs and simplified onboarding and migration processes between products. This also helps with agent ramp-up.

AI 52

AI AI Database Analytics 52

AWS Machine Learning Blog

APRIL 8, 2024

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. Now, with metadata filters, you can retrieve not only semantically relevant chunks but a well-defined subset of those relevant chucks based on applied metadata filters and associated values.

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