Data Visualization, Decision Trees and Natural Language Processing

How to become a data scientist – Key concepts to master data science

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Data Visualization Think of data visualization as creating a visual map of the data. Here are some of the most promising topics: 1.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

How to become a data scientist – Key concepts to master data science

Data Science Dojo

AUGUST 27, 2024

Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Data Visualization Think of data visualization as creating a visual map of the data. Here are some of the most promising topics: 1.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

Introduction to applied data science 101: Key concepts and methodologies

Data Science Dojo

AUGUST 30, 2023

Machine learning algorithms Machine learning forms the core of Applied Data Science. It leverages algorithms to parse data, learn from it, and make predictions or decisions without being explicitly programmed. These neural networks can process large amounts of data and identify patterns and correlations.

Data Science

Data Science Hypothesis Testing Machine Learning Machine Learning

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Natural Language Processing with R and Comet

Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language.

Natural Language Processing

Natural Language Processing Machine Learning Machine Learning ML

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Naïve Bayes algorithms include decision trees , which can actually accommodate both regression and classification algorithms.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

MAY 16, 2023

By integrating generative AI, chatbots can generate more natural and human-like responses, allowing for a more engaging and satisfying user experience. Simple chatbots without generative AI integration rely on pre-programmed responses and rule-based decision trees to guide their interactions with users.

AI

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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

JUNE 5, 2024

Using sophisticated data visualization tools, many of which are powered by AI, app analytics services empower businesses to better understand IT operations , helping teams make smarter decisions, faster. AI technologies can also reveal and visualize data patterns to help with feature development.

Analytics

Analytics Analytics AI ML

Credit card fraud visualization: AI detection strategies that work

Cambridge Intelligence

FEBRUARY 20, 2024

FREE: Managing fraud The ultimate guide to fraud detection, investigation and prevention using data visualization GET YOUR FREE GUIDE The role of new & existing technology For many years, credit card companies have relied on analytics, algorithms and decision trees to power their fraud strategy.

AI

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Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

8 Best Programming Language for Data Science

Pickl AI

JULY 18, 2023

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. It is popular for its powerful data visualization and analysis capabilities.

Data Science

Data Science SQL Data Scientist Python

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

JANUARY 7, 2025

Natural Language Processing (NLP) has emerged as a dominant area, with tasks like sentiment analysis, machine translation, and chatbot development leading the way. Data Visualization Data scientists may be expected to know some basic data visualization to help tell a story with their data and algorithms.

Data Scientist

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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

JULY 23, 2023

Data Analysis Data analysis is the heart of deriving insights from the gathered information. Data Visualization Data visualization transforms complex data sets into intuitive and visually appealing representations. Graphs, charts, and infographics aid in conveying information effectively.

Analytics

Analytics Analytics Predictive Analytics Data Analysis

Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

Packages like stats, car, and survival are commonly used for statistical modeling and analysis. · Data Visualization : R offers several libraries, including ggplot2, plotly, and lattice, that allow for the creation of high-quality visualizations. Suppose you want to develop a classification model to predict customer churn.

Data Science

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Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

Democratisation of Data : Non-technical users can engage with advanced analytics tools, fostering a culture of data-driven decision-making across all levels of an organisation. Dive Deep into Machine Learning and AI Technologies Study core Machine Learning concepts, including algorithms like linear regression and decision trees.

Data Science

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Data Science Current

How to become a data scientist – Key concepts to master data science

How to become a data scientist – Key concepts to master data science

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Introduction to applied data science 101: Key concepts and methodologies

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Natural Language Processing with R and Comet

Five machine learning types to know

Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Maximizing SaaS application analytics value with AI

Credit card fraud visualization: AI detection strategies that work

Data science vs. machine learning: What’s the difference?

8 Best Programming Language for Data Science

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

Data Demystified: What Exactly is Data?- 4 Types of Analytics

Introduction to R Programming For Data Science

Predicting the Future of Data Science

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