Smart Data Collective

AUGUST 16, 2021

Calculate this average cost to check if the strategies you use right now are working for you or not. It also pays to do some segmented conversation rate calculations. Customer Lifetime Value. Calculate this metric by starting with the average dollar value of your sales (another metric worth watching).

Analytics 130

Analytics Analytics Big Data Big Data 130

Mlearning.ai

AUGUST 20, 2023

Overview In this article, we will cover the following topics: Dealing with missing data Handling categorical data Bringing features onto the same scale Handling outliers Dealing with missing data Identifying missing values is one of the most important steps in data pre-processing. They also let us know how many values are missing.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Mlearning.ai

MARCH 21, 2023

Credit: learnopencv.com Intersection Over Union (IoU) The overlapping regions between the bounding boxes are typically calculated using the Intersection over Union (IoU) metric. If the IoU value between two bounding boxes exceeds a predefined threshold value, the bounding box with the lower confidence score is discarded.

Algorithm 98

Algorithm Machine Learning Machine Learning Data Science 98

Towards AI

JUNE 27, 2023

Collaboration] How can a data scientist share and discover the engineered features to avoid effort duplication?▢ Drop Unnecessary Column During the exploration phase, we discovered that the “transaction_id” column is not correlated with the occurrence of fraud. Let’s extract the time information as a calculated feature.

AWS 52

AWS Data Scientist Data Wrangling Data Preparation 52

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. Calculate this figure by taking your net sales and dividing this by the amount of sales space your venture has. Average Transaction Value. Sales Per Staff Member. This is particularly crucial when it comes to sales staff.

Big Data 108

Big Data Big Data Analytics Analytics 108

Smart Data Collective

OCTOBER 19, 2022

A growing number of companies are discovering the benefits of investing in big data technology. DynamoDB also lacks a date type and is primarily a key-value store. There is no straight answer for this for either solution because you need to use their pricing calculators to input the various factors that influence the cost.

Big Data 111

Big Data Big Data Database AWS 111

Pickl AI

JULY 4, 2023

So, let’s dive in and discover the wonders of Hash Tables in Python! A Hash Table, also known as a hash map, is a data structure that stores key-value pairs. These indices serve as the address of the corresponding values, allowing for fast access and search operations. What is a Hash Table? How Does a Hash Table Work?

Python 52

Python Algorithm Database AI 52

Ocean Protocol

SEPTEMBER 20, 2023

A winning highlight in this report showed that a drop in average transaction value around June 2021 coincides with a significant drop in gas prices. This could indicate that when gas prices are lower, more users might engage in transactions, even if they’re of a smaller value. The revenue has been calculated using 0.3%

Clustering 98

Clustering Exploratory Data Analysis Data Scientist Data Analysis 98

Mlearning.ai

JULY 1, 2023

Discover how to leverage the powerful combination of Mediapipe and Python to detect faces at an impressive rate of 30 FPS on the CPU. Time module import time is used for time is used to track time to calculate the FPS. its value is between 0 to 1.0. Curious about computer vision and face detection? let’s get into it.

Python 52

Python Machine Learning Machine Learning Algorithm 52

Precisely

NOVEMBER 14, 2023

80% of all data contains location-based information In over 30 years of helping customers across industries with their Location Intelligence and Data Enrichment needs, we discovered that more than 80% of data contains location information. Now, let’s proceed to analyze the second statement.

Data Governance 119

Data Governance Analytics Analytics Clustering 119

Tableau

MAY 6, 2021

Einstein sifted through the data, discovered patterns, and surfaced recommendations in natural language. For example, country name was missing from my data, so I used an automatic split to pull the values out of the file names. Visually analyze data to explore, test, and discover the unexpected . The best part?

Tableau 100

Tableau Natural Language Processing Machine Learning Machine Learning 100

Smart Data Collective

JUNE 16, 2022

And since no one except CIOs has the technical nerve of a business; they are seizing the opportunity to increase value to the organization while positioning themselves as thought leaders. . Extract Value From Customer. The post How can CIOs Build Business Value with Business Analytics? appeared first on SmartData Collective.

Analytics 122

Analytics Analytics Predictive Analytics Big Data 122

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 116

Analytics Analytics Algorithm 116

Mlearning.ai

JULY 17, 2023

The objective of clustering is to discover hidden relationships, similarities, or patterns in the data without any prior knowledge or guidance. Numerical data consists of quantitative values that can be measured or expressed as numbers. It represents quantities or measurements on a continuous or discrete scale.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

IBM Journey to AI blog

JANUARY 8, 2024

The importance of events is elevated to be on par with application programming interface (API), with facilities to describe, advertise and discover events. Whether you are starting from scratch or looking to take the next step, IBM can help extend and add value to what you already have.

EDA 79

EDA Apache Kafka Clustering Data Governance 79

Towards AI

FEBRUARY 16, 2023

Improper use of the library can lead to incorrect conclusions, missed data, or misleading calculations. Pandas have a lot of function that allows us to discover our data effectively and quickly. shape’ to see DataFrame shape: rows, columns (91741, 15) Missing Values Missing Data is a very big problem in real-life scenarios.

Data Analysis 52

Data Analysis Data Analysis Data Science Data Visualization 52

AWS Machine Learning Blog

MARCH 30, 2023

Amazon Personalize looks for items that are rising in popularity at a faster rate than other catalog items to help users discover items that are engaging their peers. Solution overview Trending-Now identifies the top trending items by calculating the increase in interactions that each item has over configurable intervals of time.

AWS 83

AWS ML ML Machine Learning 83

IBM Journey to AI blog

DECEMBER 18, 2023

By comparing RUM data from multiple sources, Pulsar can calculate the best option to resolve a DNS query. This delivers business value in several ways: It improves performance by choosing the fastest connection to a particular geography, the fastest available CDN, or other metrics you define. appeared first on IBM Blog.

Algorithm 69

Algorithm Analytics Analytics AI 69

Smart Data Collective

JULY 30, 2019

Here are some overlooked areas of data value you don’t want to miss. BI can help you discover why clients are leaving your company and what strategies are most successful in retaining them. Data from CSM could prove crucial to discovering counter-intuitive ways to bring them back. Customer Success Management.

Business Intelligence 109

Business Intelligence Business Intelligence Analytics Analytics 109

Ocean Protocol

MARCH 7, 2023

The README shows the precise calculations. Ocean’s intuitive marketplace technology allows data to be published, discovered, and consumed in a secure, privacy-preserving manner by giving power back to data owners, Ocean resolves the tradeoff between using private data and the risks of exposing it. Need support?

Data Scientist 52

Data Scientist Data Silos Data Science Python 52

Pickl AI

AUGUST 31, 2023

Data Profiling Example: Here are some examples of data profiling: Column Data Types and Value Distribution: Identify the data types of each column (e.g., Examine the distribution of values within numeric columns (e.g., Determine the range of values for categorical columns. integer, string, date). Z-score, interquartile range).

Data Profiling 52

Data Profiling ETL Data Quality Data Wrangling 52

The MLOps Blog

JUNE 27, 2023

This article will dive deep into the captivating realm of SHAP (Shapley Additive Explanations) values , a powerful framework that helps explain a model’s decision-making process, and how you can harness its power to easily optimize and debug your ML models. This is the arena where SHAP values step in, offering significant assistance.

ML 52

ML ML Data Scientist Machine Learning 52

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We’ll also explore the technical synergy between Tableau and Databricks and how our customers typically use the two platforms together to maximize the value of their data.

Tableau 92

Tableau Data Lakes Data Warehouse SQL 92

Mlearning.ai

OCTOBER 2, 2023

On the other hand, unsupervised machine learning deals with unlabeled data and aims to discover hidden patterns within that data. Filter-Based Feature Selection Techniques in Machine Learning Filter-based approaches assess the value of each feature without considering the performance of a specific machine learning algorithm.

Machine Learning 98

Machine Learning Machine Learning Supervised Learning Algorithm 98

Tableau

MAY 6, 2021

Einstein sifted through the data, discovered patterns, and surfaced recommendations in natural language. For example, country name was missing from my data, so I used an automatic split to pull the values out of the file names. Visually analyze data to explore, test, and discover the unexpected . The best part?

Tableau 52

Tableau Natural Language Processing Machine Learning Machine Learning 52

Smart Data Collective

NOVEMBER 1, 2020

Instead, we let the system discover information and outline the hidden structure that is invisible to our eye. Missing values, erroneous, and irrelevant information throw off balance and thwart data interpretation. Singular Value Decomposition (SVD) – Recommender Systems. Unsupervised ML: The Basics.

Machine Learning 133

Machine Learning Machine Learning Clustering Data Mining 133

Mlearning.ai

APRIL 17, 2023

cat.as_ordered() Finally, the aggregation values above are calculated for each of 8 timeframes {1h, 3h, 6h, 12h, 18h, 24h, 72h, 168h}. Unravelling Data Relationships with Correlation The paper had specified a p value of greater than 0.9 values)) merged_df[f] = lbl.transform(list(merged_df[f].values)) rolling(window=t).count().reset_index(drop=True).fillna(0)

Decision Trees 52

Decision Trees Algorithm Data Analyst Python 52

Smart Data Collective

MARCH 3, 2021

It is becoming clear that big data is of value to the legal profession. When a prospective client approaches a law company that handles personal injury cases , it’s challenging to calculate their case’s value. How can personal injury companies use analytics?

Analytics 127

Analytics Analytics Big Data Big Data 127

Pickl AI

JUNE 16, 2023

Here’s an explanation of how the Apriori algorithm works: Support: The algorithm begins by scanning the dataset to calculate the support of each item. Support refers to the frequency of an item occurring in the dataset and is expressed as a percentage or decimal value. Therefore, it is crucial to handle them appropriately.

Python 52

Python Algorithm Data Mining Data Mining 52

Smart Data Collective

SEPTEMBER 13, 2020

The authority, or trustworthiness, of a domain (and of individual pages) is calculated by studying the quality and quantity of links pointing to it. Offering value to readers. Each link you build should provide value to readers. You can use data analytics to: Discover new sites. This algorithm is known as Google PageRank.

Analytics 100

Analytics Analytics Big Data Big Data 100

Heartbeat

NOVEMBER 15, 2023

Digits=LabelEncoder() The fit() method of the LabelEncoder() class takes a list of categorical values as input and assigns a unique numerical label to each distinct category. The transform() method then takes a list of categorical values as input and returns an array of numerical labels.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Data Science in Practice

MARCH 8, 2023

Common reality: Tool-oriented, little value, unnecessarily complex, and costly Where do we go from here? — Data Source: IBM Cloud Pak for Data Feature Catalog Users can manage feature definitions and enrich them with metadata, such as tags, transformation logic, or value descriptions. Spark, Flink, etc.)

Machine Learning 264

Machine Learning Machine Learning ML ML 264

IBM Journey to AI blog

AUGUST 28, 2023

Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs. Each word becomes a feature, and the frequency of occurrence represents its value. positive, negative or neutral).

Machine Learning 56

Machine Learning Machine Learning Data Mining Data Mining 56

Tableau

JUNE 8, 2021

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We’ll also explore the technical synergy between Tableau and Databricks and how our customers typically use the two platforms together to maximize the value of their data.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Heartbeat

JANUARY 26, 2024

As we delve deeper into R and its Shiny framework, you will discover the art of designing user-friendly interfaces that can hold conversations with users. Shiny programs are very flexible because this server logic can take user inputs, perform calculations, and return dynamic outcomes. updateTextInput(.): create_chat_completion(.):

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning Data Scientist 52

Heartbeat

NOVEMBER 3, 2023

Dive in and discover the art of parsing in LangChain! You would use the DatetimeOutputParser when you want the LLM to return a date, time, or datetime in its response that you can then use for date calculations, formatting, etc in Python. What are output parsers? What do I use it for? When should I use it? When would I use it?

Python 52

Python Deep Learning Deep Learning Database 52

AWS Machine Learning Blog

JUNE 5, 2023

It looks for the best model automatically by focusing on the most promising combinations of hyperparameter values within the ranges that you specify. Autotune automatically selects the strategy on how to choose the combinations of hyperparameter values to use for the training job.

AWS 76

AWS Machine Learning Machine Learning ML 76