Smart Data Collective

OCTOBER 13, 2021

We would like to talk about data visualization and its role in the big data movement. Data is useless without the opportunity to visualize what we are looking for. As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools.

Data Visualization 136

Data Visualization Big Data Big Data Predictive Analytics 136

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 207

Python Data Visualization Data Analysis Data Analysis 207

Data Science Dojo

OCTOBER 23, 2023

LangChain agents are a type of artificial intelligence that can be used to build AI applications. They are based on large language models (LLMs), which are a type of artificial intelligence that can generate and understand human language. Master ChatGPT for Data Analysis and Visualization!

Database 268

Database Data Analysis Data Analysis Artificial Intelligence 268

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Data preparation is an essential step in the data science workflow, and data scientists should be familiar with various data preparation tools and best practices.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Data Science 221

Data Science Connect

JULY 22, 2023

In a tweet that sent ripples through the data science community, Elon Musk , the visionary CEO of SpaceX and Tesla, recently unveiled a revolutionary train artificial intelligence bot. The tweet, posted on July 15, 2023, has sparked immense interest and excitement among data scientists worldwide.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Data Scientist Machine Learning 130

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 299

Data Scientist Python Artificial Intelligence Artificial Intelligence 299

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 106

Data Visualization AI AI Artificial Intelligence 106

Analytics Vidhya

APRIL 11, 2023

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science.

Artificial Intelligence 279

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 279

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 238

Data Science Data Analysis Data Analysis Machine Learning 238

ODSC - Open Data Science

SEPTEMBER 15, 2023

From uncovering hidden patterns to providing actionable recommendations, generative AI’s proficiency in data analytics heralds a new era where innovation spans the spectrum from artistic expression to informed business strategies. So let’s take a brief look at some examples of how generative AI can be used for data analytics.

Data Analysis 96

Data Analysis Data Analysis AI AI 96

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Cambridge Intelligence

FEBRUARY 6, 2024

Artificial intelligence is changing the way organizations think about data analysis. AI and data visualization can do a lot of the heavy lifting for analysts and investigators working with connected data – helping them detect, understand and even predict risks and threats.

Data Visualization 59

Data Visualization AI AI Machine Learning 59

Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Data Science Dojo

JUNE 7, 2024

This model is not just another iteration; it’s a significant leap toward making artificial intelligence feel more human. Advanced Data Analysis GPT-4o’s data analysis capabilities are robust. This feature is valuable for businesses and researchers who need to analyze complex data efficiently.

Data Analysis 195

Data Analysis Data Analysis AI AI 195

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. Data visualization can help here by visualizing your datasets.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Data Science Dojo

OCTOBER 4, 2024

Their research can lead to breakthroughs in fields such as artificial intelligence, machine learning, and cybersecurity, which are essential for the progress of modern society. Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts. Your Next Step: Explore the Field!

Computer Science 343

Computer Science Computer Science Database Administration Data Scientist 343

Dataconomy

MAY 17, 2024

He brings a unique perspective on how advanced technologies such as data science and artificial intelligence (AI) can enhance decision-making processes, ensure transparency, and promote public trust. Artificial Intelligence (AI) is becoming increasingly influential in various sectors.

Predictive Analytics 91

Predictive Analytics Data Science Data Analysis Data Analysis 91

ODSC - Open Data Science

FEBRUARY 19, 2024

In the world of data visualization , the ability to produce material that can speak to your audience, regardless of their technical expertise, is an ever-important factor to consider. Tableau Public Tableau Public , a powerful data visualization software, empowers users to create interactive and shareable dashboards with ease.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

Data Science Dojo

JULY 27, 2023

Data visualization: Data Visualization in Python is a project that introduces users to techniques for visually representing data sets. With the help of Python’s data manipulation and visualization libraries, learners can create informative and visually appealing charts, graphs, and plots.

Python 195

Python Data Visualization Artificial Intelligence Artificial Intelligence 195

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

Data Science Dojo

DECEMBER 14, 2023

As we delve into 2023, the realms of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. The data sets are categorized according to varying difficulty levels to be suitable for everyone.

Data Science 195

Data Science Natural Language Processing AI AI 195

Smart Data Collective

DECEMBER 13, 2022

To support a data-intensive system, databases are frequently used to store data from a single source. More data is available to your brand than it knows how to handle. Rather than attempting to include everything in your data analysis process, eliminate what is unnecessary. Prioritize.

Data Analysis 137

Data Analysis Data Analysis Analytics Analytics 137

Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. It hosts a data analysis competition.

Data Mining 143

Data Mining Data Mining Data Mining Data Science 143

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. Moez Ali Inventor and Creator of PyCaret | Product Director — Artificial Intelligence | antuit.ai

Data Science 80

Data Science Machine Learning Machine Learning Deep Learning 80

ODSC - Open Data Science

NOVEMBER 16, 2023

Intelligent Document Processing with AWS, Mastering Data Visualization, GPT-4 Turbo, and ODSC West Keynote Recaps Intelligent Document Processing with AWS AI Services and Amazon Bedrock In this article, we briefly discuss the various phases of IDP and how generative AI is being utilized to augment existing IDP workloads or develop new IDP workloads.

Data Visualization 52

Data Visualization AWS Data Science Data Analysis 52

Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. You should be comfortable working with data structures, algorithms, and libraries like NumPy, Pandas, and TensorFlow.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

Dataconomy

MAY 24, 2024

Tableau: A data visualization tool that helps in creating interactive and shareable dashboards. Analytics in marketing involves the systematic analysis of data to gain insights and make informed decisions. Step 3: Analyze data Use tools like Google Analytics and Excel to analyze the data.

Analytics 103

Analytics Analytics Data Analysis Data Analysis 103

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

Dataconomy

JUNE 1, 2023

Multi-cloud support : Fabric’s support for multi-cloud environments, including shortcuts that virtualize data lake storage across different cloud providers, allows seamless incorporation of diverse data sources into Power BI for comprehensive analysis.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

ODSC - Open Data Science

FEBRUARY 6, 2023

This workshop brings high-level theory to life with interactive examples featuring PyTorch, TensorFlow 2, and Keras and provides students with a complete intuitive understanding of deep learning’s underlying foundations.

Data Science 98

Data Science Deep Learning Deep Learning Data Scientist 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. Workflow pipelines are integral to data engineering, so platforms like Kubernetes, Luigi, and Docker are all desirable for building pipelines.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

JANUARY 30, 2023

Versatile programming language- You can use Python for web development, Data Science, Machine Learning, Artificial Intelligence, finance and in many other domains. Scientific Computing: Use Python for scientific computing tasks, such as data analysis and visualization, Machine Learning, and numerical simulations.

Python 97

Python Machine Learning Machine Learning Data Science 97

Data Science Dojo

JUNE 11, 2024

This depth of architecture enables them to model complex patterns and relationships within large sets of data, making them highly effective for a wide range of artificial intelligence tasks. Thus, they offer enhanced accuracy when trained using sufficient amounts of data. Moreover, they possess the risk of overfitting.

Natural Language Processing 195

Natural Language Processing Deep Learning Deep Learning Artificial Intelligence 195

Pickl AI

AUGUST 15, 2023

R, on the other hand, is renowned for its powerful statistical capabilities, making it ideal for in-depth Data Analysis and modeling. SQL is essential for querying relational databases, which is a common task in Data Analytics. Extensive libraries for data manipulation, visualization, and statistical analysis.

Analytics 52

Analytics Analytics Data Analyst Data Analysis 52

Analytics Vidhya

JANUARY 27, 2023

Introduction Effective data management is crucial for organizations of all sizes and in all industries because it helps ensure the accuracy, security, and accessibility of data, which is essential for making good decisions and operating efficiently.

AI 319

AI AI Analytics Analytics 319

Data Science Connect

JULY 25, 2023

In the rapidly evolving world of Artificial Intelligence (AI), the need for balanced and thoughtful regulation has become increasingly evident. As data scientists, it is crucial for us to delve into the intricacies of this matter and understand the delicate balance required to harness AI’s potential while mitigating its risks.

AI 130

AI AI Data Scientist Artificial Intelligence 130

Data Science Connect

JULY 26, 2023

Integrating Sustainability Metrics into Cybersecurity Strategies Data scientists can integrate sustainability metrics into cybersecurity strategies, aligning security measures with broader sustainability goals. This approach ensures that cybersecurity efforts not only protect data but also contribute to sustainable practices.

Data Scientist 130

Data Scientist Predictive Analytics Internet of Things Artificial Intelligence 130