Dataconomy

DECEMBER 25, 2024

This blog examines predictive healthcare analytics, explaining what it is, how it works, and its applications. Data Collection Information is gathered from various sources, including EHRs, patient registries, and administrative records. This creates a detailed dataset that forms the foundation for analysis.

Analytics 91

Analytics Analytics Predictive Analytics Machine Learning 91

Pickl AI

FEBRUARY 20, 2023

With these developments, extraction and analysing of data have become easier while various techniques in data extraction have emerged. Data Mining is one of the techniques in Data Science utilised for extracting and analyzing data. It helps organisations to experience higher productivity and profitability.

Data Mining 52

Data Mining Data Mining Data Mining Machine Learning 52

Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

Pickl AI

MARCH 12, 2023

Accordingly, Data Analysts use various tools for Data Analysis and Excel is one of the most common. Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. Let’s find out in the blog! What is Data Analysis?

Data Analysis 52

Data Analysis Data Analysis Data Analyst Power BI 52

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. Well, we can say this is a kind of explanation but data science is more than that.

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Data Science Big Data Big Data Deep Learning 105

Pickl AI

AUGUST 1, 2023

Future directions in text mining include improving language understanding with the help of deep learning models, developing better techniques for multilingual text analysis, and integrating text mining with other domains like image and video analysis. Can text mining handle multiple languages?

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Data Science Blog

FEBRUARY 23, 2023

And importantly, starting naively annotating data might become a quick solution rather than thinking about how to make uses of limited labels if extracting data itself is easy and does not cost so much. The post How to tackle lack of data: an overview on transfer learning appeared first on Data Science Blog.

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Supervised Learning Machine Learning Machine Learning Deep Learning 264

Towards AI

MARCH 17, 2023

I have explained normal distribution in very simple words and with examples in the below blog. Random variable: Statistics and data mining are concerned with data. How do we link sample spaces and events to data? you can refer to it for the introduction. Why everyone is obsessed with Normal distribution?

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Hypothesis Testing Data Mining Data Mining Data Mining 98

Cambridge Intelligence

JANUARY 30, 2024

While it has always been a data-intensive process, enterprise fraud management today is more complex and more important than ever. This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. What is enterprise fraud management?

Data Visualization 105

Data Visualization AI AI Analytics 105

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

MAY 29, 2024

A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. This blog provides a comprehensive roadmap for aspiring Data Scientists, highlighting the essential skills required to succeed in this constantly changing field.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JANUARY 15, 2025

Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance. This blog will explore what Business Intelligence tools are, their functionalities, real-world applications, and address common questions surrounding them.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

IBM Journey to AI blog

APRIL 15, 2024

Virtualization layer abstraction and developer benefits Advantage: The virtualization layer in the data platform acts as an abstraction layer. They can focus on designing the core logic of their models without getting bogged down in data management complexities.

Analytics 81

Analytics Analytics Data Silos AI 81

IBM Journey to AI blog

DECEMBER 15, 2023

Scikit-learn is a powerful open-source Python library for machine learning and predictive data analysis. Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. Morgan and Spotify.

AI 82

AI AI Deep Learning Deep Learning 82

Dataconomy

JULY 28, 2023

By analyzing the sentiment of users towards certain products, services, or topics, sentiment analysis provides valuable insights that empower businesses and organizations to make informed decisions, gauge public opinion, and improve customer experiences. It ensures that the data used in analysis or modeling is comprehensive and comprehensive.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

MAY 23, 2023

While Data Science courses can be considered beneficial for development of conceptual knowledge, Data Science competitions help in skill development. But what are the Data Science competitions you should participate in? let’s find out from the blog!

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. appeared first on IBM Blog.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

APRIL 19, 2023

The focus of this blog is to take you through some of the key aspects of BI and the importance of Business Intelligence in decision-making. Usually, the companies work on different types of data like sales and revenue, customer information, market trends, operational metrics and others. This is where the role of BI comes in.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Pickl AI

FEBRUARY 28, 2023

Indulging in the use of programming languages like Python or R for Data Cleaning Chiefly conducting Statistical analysis using Machine Learning algorithms like NLP, Logistic regression, etc. Moreover, there is a skill gap in the Data Science field, making it a lucrative carer for you to choose from. Wrapping Up!

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

NOVEMBER 5, 2024

These courses introduce you to Python, Statistics, and Machine Learning , all essential to Data Science. Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Prestigious Background : Offered by Harvard University.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

Pickl AI

JUNE 19, 2023

If you’re willing to choose a career in AI and want to opt for some of the best Artificial Intelligence Courses for Beginners , the following blog will help you do the same. Students study neural networks, the processing of signals and control, and data mining throughout the school’s curriculum. Students with a B.Sc

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Pickl AI

JULY 30, 2024

Introduction Bioinformatics is a rapidly evolving field that combines computer science, statistics, and biology to manage and analyse biological data. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel. Data Mining Data mining involves extracting patterns and insights from large datasets.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

JULY 17, 2023

It entails developing computer programs that can improve themselves on their own based on expertise or data. The following blog will focus on Unsupervised Machine Learning Models focusing on the algorithms and types with examples. Therefore, it mainly deals with unlabelled data.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

Pickl AI

OCTOBER 3, 2024

Summary: Predictive analytics utilizes historical data, statistical algorithms, and Machine Learning techniques to forecast future outcomes. This blog explores the essential steps involved in analytics, including data collection, model building, and deployment. What is Predictive Analytics?

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Predictive Analytics Analytics Analytics Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Data Analysis Data Analysis involves cleaning, processing, and analysing data to uncover patterns, trends, and relationships.

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Kaggle

APRIL 20, 2020

In 2009 and 2010, I participated the UCSD/FICO data mining contests. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1 What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1 I’m also a part-time software developer for 11ants analytics.

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Algorithm Data Mining Data Mining Data Mining 61

Pickl AI

MAY 9, 2023

The following blog will take you on a journey to know all about a career as a Quantitative Analyst. Working with others is essential to develop the most effective tactics for data analysis. You need to be familiar with research, data mining and algorithmic trading programs to excel in this field. lakhs to 32.4

Algorithm 52

Algorithm Analytics Analytics Data Analysis 52

IBM Journey to AI blog

JANUARY 10, 2023

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. The post How to unlock a scientific approach to change management with powerful data insights appeared first on Journey to AI Blog.

Data Mining 52

Data Mining Data Mining Data Mining Analytics 52

Pickl AI

JUNE 25, 2023

In this blog, we are going to unfold the role of business analytics with examples and its scope in the future. The latter is the practice of using statistical techniques, data mining, predictive modelling, and Machine Learning algorithms to analyze past and present data. What is Business Analytics?

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

APRIL 15, 2024

Imagine going on a journey where you learn the intricacies of Data Science and secure a promising career through a Data Science course with a placement guarantee. This blog sets the stage for exploring the transformative potential of such programs. Data Mining : Think of data mining as digging for gold in a mountain of data.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Heartbeat

MARCH 8, 2023

R is a popular open-source programming language used for statistical computation and data analysis, as well as for text classification tasks such as basic spam detection, sentiment analysis, and topic labeling. Data mining, text classification, and information retrieval are just a few applications.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Pickl AI

JUNE 7, 2023

If you want to become an efficient Data Scientist and grab that job role you’ve been looking for, you need to work on Github for Data Science projects. Some of the Data Science Projects on Github that you work upon have been listed in this blog. Top 10 Best Data Science Project on Github 1. Let’s take a look!

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

Pickl AI

MAY 16, 2023

If you are a Data Scientist, then your LinkedIn profile should be flooded with information on Data Science’s latest development in this domain, such that it instantly garners the attention of recruiters as well as your contemporaries. In fact, these industries majorly employ Data Scientists. Wrapping it up !!!

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Data Scientist Data Science SQL Python 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Pickl AI

MARCH 3, 2023

Moreover, it is important to know the different methods of statistical Analysis and the ways to use them for exploring data, finding patterns and identifying market trends. Read the following blog to find out more about What is Statistical Analysis and the different types and methods of statistical Analysis.

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Exploratory Data Analysis Hypothesis Testing Data Analyst Data Scientist 40