Analytics Vidhya

MARCH 5, 2024

Introduction Geographic data visualization is a field that merges data analysis with geographic mapping to unveil patterns, trends, and insights across geographical locations.

Python 235

Python Data Visualization Data Analysis Data Analysis 235

KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 132

Natural Language Processing Deep Learning Deep Learning Data Analysis 132

Dataconomy

APRIL 3, 2025

Advantages of t-SNE t-SNE offers several key benefits that make it a preferred choice for certain data analysis tasks. Cluster visualization Using t-SNE for exploratory data analysis allows researchers to visualize clusters in unlabeled data effectively, facilitating deeper insights into data organization.

Clustering 91

Clustering Exploratory Data Analysis Data Analysis Data Analysis 91

Data Science Dojo

JANUARY 13, 2023

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success. PAW Climate and Deep Learning World.

Data Science 281

Data Science Data Mining Data Mining Data Mining 281

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. More about me here.

Machine Learning 95

Machine Learning Machine Learning Decision Trees Deep Learning 95

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. More about me here.

Machine Learning 105

Machine Learning Machine Learning Decision Trees Deep Learning 105

Data Science Dojo

APRIL 27, 2023

Link to the repository:  [link]   TensorFlow:  An open-source machine learning library developed by Google Brain Team. TensorFlow is used for numerical computation using data flow graphs.   Link to the repository:  [link]   Pandas:  A Python library for data manipulation and analysis.

Data Science 195

Data Science Analytics Analytics Power BI 195

Data Science Dojo

JUNE 10, 2024

Data scientists are using NLP to make these assistants smarter and more helpful. Enhanced Data Visualization: AI-powered data visualization tools are enabling data scientists to create interactive and dynamic visualizations that facilitate better communication of insights and findings.

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195

Flipboard

FEBRUARY 11, 2025

You can start learning at a pace that suits you, so there's nothing stopping you from enrolling.

Python 155

Python Computer Science Computer Science Deep Learning 155

Dataconomy

MARCH 4, 2025

By utilizing algorithms and statistical models, data mining transforms raw data into actionable insights. The data mining process The data mining process is structured into four primary stages: data gathering, data preparation, data mining, and data analysis and interpretation.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Data Science Dojo

MAY 18, 2023

Experts from the field gathered to discuss and deliberate on various topics related to data and AI, sharing their insights with the attendees. Check out our award-winning Data Science Bootcamp that can navigate your way. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI SQL 195

Dataconomy

MAY 16, 2023

It involves data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and correlations that can drive decision-making. The rise of machine learning applications in healthcare Data scientists, on the other hand, concentrate on data analysis and interpretation to extract meaningful insights.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Towards AI

DECEMBER 31, 2023

In this practical Kaggle notebook, I went through the basic techniques to work with time-series data, starting from data manipulation, analysis, and visualization to understand your data and prepare it for and then using statistical, machine, and deep learning techniques for forecasting and classification.

Exploratory Data Analysis 116

Exploratory Data Analysis Deep Learning Deep Learning Data Scientist 116

Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

Supervised Learning 264

Supervised Learning Machine Learning Machine Learning Deep Learning 264

Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

ODSC - Open Data Science

FEBRUARY 6, 2023

You’ll explore statistical and machine learning approaches to anomaly detection, as well as supervised and unsupervised approaches to fraud modeling. Intro to Deep Learning with PyTorch and TensorFlow Dr. Jon Krohn | Chief Data Scientist | Nebula.io

Data Science 98

Data Science Deep Learning Deep Learning Data Scientist 98

Dataconomy

JUNE 29, 2023

Some machine learning packages focus specifically on deep learning, which is a subset of machine learning that deals with neural networks and complex, hierarchical representations of data. Let’s explore some of the best Python machine learning packages and understand their features and applications.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Heartbeat

JANUARY 24, 2024

Making visualizations is one of the finest ways for data scientists to explain data analysis to people outside the business. Exploratory data analysis can help you comprehend your data better, which can aid in future data preprocessing. Exploratory Data Analysis What is EDA?

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Data Analysis Data Analysis 52

Smart Data Collective

JUNE 4, 2021

Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Exploratory Data Analysis. Deep Learning.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

ODSC - Open Data Science

MARCH 13, 2023

As you know, ODSC East brings together some of the best and brightest minds in data science and AI. They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. Dr. Jon Krohn Chief Data Scientist | Nebula.io

Data Science 80

Data Science Machine Learning Machine Learning Deep Learning 80

Mlearning.ai

MAY 5, 2023

It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape. Deep learning algorithms are designed to mimic the structure and function of the human brain, allowing them to process vast amounts of data and learn from that data over time.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

ODSC - Open Data Science

FEBRUARY 2, 2023

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This will lead to algorithm development for any machine or deep learning processes.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 6, 2023

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. Imagine combining the data power of SQL with your preferred scripting program.

SQL 98

SQL Data Scientist Database Data Science 98

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. More about me here.

Machine Learning 98

Machine Learning Machine Learning Decision Trees Deep Learning 98

ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

Data Visualization 52

Data Visualization Analytics Analytics Big Data Analytics 52

Analytics Vidhya

APRIL 26, 2024

In this article we’ll train Data-efficient GANs with Adaptive Discriminator Augmentation that addresses the challenge of limited training data. Adaptive Discriminator Augmentation dynamically adjusts data augmentation during GAN training, preventing discriminator overfitting and enhancing model generalization.

Analytics 317

Analytics Analytics Data Visualization Data Analysis 317

Analytics Vidhya

FEBRUARY 25, 2023

In this project, we’ll dive into the historical data of Google’s stock from 2014-2022 and use cutting-edge anomaly detection techniques to uncover hidden patterns and gain insights into the stock market. Introduction Welcome to the fascinating world of stock market anomaly detection!

Analytics 343

Analytics Analytics Data Visualization Data Analysis 343

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. DataRobot Visual AI. Configure Settings You Need.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

Analytics Vidhya

FEBRUARY 17, 2023

Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field.

Analytics 319

Analytics Analytics Data Pipeline Data Warehouse 319

Analytics Vidhya

OCTOBER 26, 2023

Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts. Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning.

Data Scientist 319

Data Scientist Python Artificial Intelligence Artificial Intelligence 319

Data Science Dojo

JUNE 11, 2024

These gates control the flow of information into and out of the cell, deciding what to keep in memory and what to discard, thus enabling the network to make more precise decisions based on historical data. Despite their challenges, they are uniquely suited for tasks involving sequential data.

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Artificial Intelligence 195

Towards AI

JUNE 27, 2023

Its comprehensive ecosystem of tools, libraries, and community resources aids developers in constructing robust, scalable machine learning models. Scikit Learn Scikit Learn is a comprehensive machine learning tool designed for data mining and large-scale unstructured data analysis.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Dataconomy

MAY 2, 2023

What do machine learning engineers do: ML engineers design and develop machine learning models The responsibilities of a machine learning engineer entail developing, training, and maintaining machine learning systems, as well as performing statistical analyses to refine test results.

ML 110

ML ML Machine Learning Machine Learning 110

Data Science Connect

JULY 25, 2023

As data scientists, we understand that many AI models, such as deep learning neural networks, are often considered “black boxes,” making it difficult to understand their inner workings. Ensuring AI models are transparent and can explain their decisions is crucial for building trust among users and stakeholders.

AI 130

AI AI Data Scientist Artificial Intelligence 130

ODSC - Open Data Science

JANUARY 5, 2024

With the explosion of AI across industries TensorFlow has also grown in popularity due to its robust ecosystem of tools, libraries, and community that keeps pushing machine learning advances. Without this library, data analysis wouldn’t be the same without pandas, which reign supreme with its powerful data structures and manipulation tools.

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. Here, we’ll explore why Data Science is indispensable in today’s world.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52