Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 264

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI Deep Learning 195

phData

NOVEMBER 4, 2024

By providing a single, unified platform for data storage, management, and analysis, Snowflake connects organizations to leading software vendors specializing in analytics, machine learning, data visualization, and more. This capability can reveal hidden patterns and optimize data for improved model performance.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

Dataconomy

MAY 2, 2023

The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline. Additionally, Machine Learning Engineers are proficient in implementing AI or ML algorithms. Is ML engineering a stressful job?

ML 110

ML ML Machine Learning Machine Learning 110

ODSC - Open Data Science

FEBRUARY 24, 2023

While machine learning frameworks and platforms like PyTorch, TensorFlow, and scikit-learn can perform data exploration well, it’s not their primary intent. There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

JULY 24, 2023

This involves collecting, cleaning, and analyzing large data sets to identify patterns, trends, and relationships that might otherwise be hidden. Skills in manipulating and managing data are also necessary to prepare the data for analysis. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Tableau

DECEMBER 1, 2021

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation. Visual encoding is key to explaining ML models to humans.

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

APRIL 10, 2025

Chart and data visualization interpretation The model demonstrates exceptional proficiency in understanding complex visual data representations. It can effortlessly identify trends, anomalies, and key data points within graphical visualizations. You have created an ER diagram.

AWS 98

AWS SQL Database AI 98

Towards AI

JULY 15, 2024

In addition, it’s also adapted to many other programming languages, such as Python or SQL. Importing and exporting GIS data — importing and exporting data from various sources and formats is a key task. Numerous spatial data formats, including shapefiles, GeoJSON, GeoTIFF, and NetCDF, can be read and written by these programs.

Machine Learning 116

Machine Learning Machine Learning Algorithm K-nearest Neighbors 116

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Models 52

ODSC - Open Data Science

MARCH 13, 2023

Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation. What percentage of machine learning models developed in your organization get deployed to a production environment?

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

Analytics Vidhya

DECEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Author(Paint) Introduction Arushi is a data architect in a company named Redeem. The company provides cashback to customers who check in at restaurants & hotels.

Data Science 306

Data Science Analytics Analytics Data Visualization 306

Mlearning.ai

APRIL 29, 2023

Submission Suggestions 8-Week SQL Challenge: Data Bank was originally published in MLearning.ai You’d love to interact with the dashboard here. And feel free to say hi on Linkedin and connect with me on Twitter. ?? BECOME a WRITER at MLearning.ai

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Pickl AI

DECEMBER 25, 2024

Key Takeaways Business Analytics targets historical insights; Data Science excels in prediction and automation. Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. With added skills, professionals can shift between Business Analytics and Data Science.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Tableau

DECEMBER 1, 2021

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. The prototype could connect to multiple data sources at the same time—a precursor to Tableau’s investments in data federation. Visual encoding is key to explaining ML models to humans.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

MARCH 10, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio. Starting today, you can connect to Amazon EMR Hive as a big data query engine to bring in large datasets for ML. Choose Open studio.

Clustering 97

Clustering AWS ML ML 97

AWS Machine Learning Blog

MAY 17, 2023

Facies classification using AI and machine learning (ML) has become an increasingly popular area of investigation for many oil majors. Many data scientists and business analysts at large oil companies don’t have the necessary skillset to run advanced ML experiments on important tasks such as facies classification.

ML 96

ML ML AWS Database 96

ODSC - Open Data Science

FEBRUARY 13, 2025

Build a Data Analyst AI Agent fromScratch Daniel Herrera, Principal Developer Advocate atTeradata Daniel Herrera guided attendees through the process of building a data analyst AI agent from the ground up. Cloning NotebookLM with Open WeightsModels Niels Bantilan, Chief ML Engineer atUnion.AI

AI 52

AI AI Data Analyst Database 52

ODSC - Open Data Science

FEBRUARY 20, 2023

We’ll also have a series of introductory sessions on AI literacy, intros to programming, etc.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. However, many data scientists also hold advanced degrees such as a Master’s or Ph.D. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Tableau

OCTOBER 8, 2021

“This partnership makes data more accessible and trusted. With Looker’s secure, trusted and highly performant data governance capabilities, we can augment Tableau’s world-class data visualization capabilities to enable data-driven decisions across the enterprise.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

AWS Machine Learning Blog

SEPTEMBER 9, 2024

Domo works with organizations that place a strong emphasis on deriving actionable insights from their data assets. Domo’s existing solution already enables these organizations to extract valuable insights through data visualization and analysis. Mohammad Tahsin is an AI/ML Specialist Solutions Architect at Amazon Web Services.

AI 118

AI AWS AI ML 118

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

AWS Machine Learning Blog

AUGUST 21, 2023

Amazon SageMaker Data Wrangler reduces the time it takes to collect and prepare data for machine learning (ML) from weeks to minutes. Data professionals such as data scientists want to use the power of Apache Spark , Hive , and Presto running on Amazon EMR for fast data preparation; however, the learning curve is steep.

AWS 97

AWS Data Lakes Clustering Data Preparation 97

ODSC - Open Data Science

MARCH 2, 2023

Improving your data literacy not only involves hard skills, such as programming languages, but soft skills such as interpersonal communication, and stakeholder relations, as well as blended skills such as data visualization. SQL Databases might sound scary, but honestly, they’re not all that bad. Learning is learning.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

phData

JUNE 18, 2024

Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Before you can take advantage of everything ML offers, much prep work is involved.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JANUARY 13, 2025

They employ statistical methods and machine learning techniques to interpret data. Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. They play a crucial role in shaping business strategies based on data insights.

AI 52

AI AI Machine Learning Machine Learning 52

Tableau

OCTOBER 8, 2021

“This partnership makes data more accessible and trusted. With Looker’s secure, trusted and highly performant data governance capabilities, we can augment Tableau’s world-class data visualization capabilities to enable data-driven decisions across the enterprise.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

Pickl AI

MAY 16, 2023

In fact, these industries majorly employ Data Scientists. Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. For example, if you are a Data Scientist, then you should add keywords like Python, SQL, Machine Learning, Big Data and others. Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

ODSC - Open Data Science

JANUARY 7, 2025

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL is expected, youll need to go beyond that. As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

phData

SEPTEMBER 4, 2024

ThoughtSpot is a cloud-based AI-powered analytics platform that uses natural language processing (NLP) or natural language query (NLQ) to quickly query results and generate visualizations without the user needing to know any SQL or table relations. How Does ThoughtSpot Compare to Other Data Visualization Tools?

Analytics 52

Analytics Analytics SQL ETL 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

phData

FEBRUARY 24, 2023

This creates a space for business teams to write to Snowflake and accelerate their access to data, speeding up business reporting and data visualization. Use a SAMPLE SQL clause to cut down on data size for an initial analysis. Use the standard blocks to prototype faster.

Analytics 52

Analytics Analytics Database Python 52