IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Towards AI

SEPTEMBER 16, 2024

Outlier Detection Explained Before we get into the nitty-gritty of detecting outliers, let’s break down the types: These occur when you’re dealing with one variable. But here’s the catch: outliers can also offer valuable insights, like uncovering fraud or identifying hidden trends.

Explainability 111

Explainability Data Science AI AI 111

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. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Artificial Corner

JANUARY 23, 2025

This is what I did when I started learning Python for data science. I checked the curriculum of paid data science courses and then searched all the stuff related to Python. I selected the best 4 free courses I took to learn Python for data science.

Data Science 95

Data Science Python Convolutional Neural Networks Natural Language Processing 95

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 Generative AI Data Science AI 96

Marktechpost

NOVEMBER 13, 2024

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Anyone who works with data, whether they are an IT specialist, business analyst, or data scientist, must be aware of their distinctions.

Data Analysis 79

Data Analysis Machine Learning Data Science Data Scientist 79

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

Analytics Vidhya

AUGUST 13, 2024

It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners. Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots.

Data Scientist 287

Data Scientist Machine Learning Explainability Data Analysis 287

NYU Center for Data Science

DECEMBER 21, 2023

Pioneering the Beat: CDS’ Data Science Innovators Decode Music Perception at Neuroscience Conference The essence of music’s allure may finally be deciphered, not by musicians, but by data scientists. Imagine a world where music streaming services know exactly what you want to hear before you do.

Data Science 87

Data Science Data Scientist Data Analysis Explainability 87

Heartbeat

FEBRUARY 13, 2023

Comet is an MLOps platform that offers a suite of tools for machine-learning experimentation and data analysis. It is designed to make it easy to track and monitor experiments and conduct exploratory data analysis (EDA) using popular Python visualization frameworks. What is Comet?

Data Science 94

Data Science Python Deep Learning Machine Learning 94

Unite.AI

JANUARY 7, 2025

Fermata , a trailblazer in data science and computer vision for agriculture, has raised $10 million in a Series A funding round led by Raw Ventures. Croptimus is more than just a monitoring toolits a decision-making assistant for growers, explains Valeria Kogan, Fermatas Founder and CEO.

Computer Vision 182

Computer Vision Actionable Intelligence Continuous Learning AI 182

Towards AI

APRIL 7, 2024

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. One important stage of any data analysis/science project is EDA.

Machine Learning 124

Machine Learning Data Analysis Data Science Automation 124

Pickl AI

DECEMBER 10, 2024

Summary: Discover the best Data Science books for beginners that simplify Python, statistics, and Machine Learning concepts. Paired with structured learning plans and online communities, they help build foundational skills and confidence for a successful journey into Data Science.

Data Science 52

Data Science Python Data Analysis Machine Learning 52

Marktechpost

APRIL 2, 2024

Python Programming: An Introduction to Computer Science This book explains the basics of Computer Science using Python. It focuses on computer science skills like designing, programming, and problem-solving. It also provides various real-world examples to explain these concepts.

Python 120

Python Machine Learning Data Science Algorithm 120

Pickl AI

JUNE 9, 2024

Summary: Mastering mathematics is crucial for excelling in Data Science. Introduction Mathematics plays a pivotal role in Data Science. The foundation of the Data Science field rests upon the bedrock of mathematical principles. Essential topics include statistics, linear algebra, calculus, and probability.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

Data Science 52

Data Science Machine Learning Data Scientist Algorithm 52

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. These tools will help make your initial data exploration process easy.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Sensor Data Analysis Examples. The Best Way to Achieve Both Accuracy and Cost Control.

Data Science 72

Data Science Machine Learning Python Data Analysis 72

Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

JUNE 12, 2023

Tableau can help Data Scientists generate graphs, charts, maps and data-driven stories, etc for purpose of visualisation and analysing data. But What is Tableau for Data Science and what are its advantages and disadvantages? How Professionals Can Use Tableau for Data Science? Additionally.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Marktechpost

MAY 5, 2024

Machine Learning and AI with Python This course delved into advanced data science concepts using sample datasets, decision trees, random forests, and various machine learning models. It teaches students to train models for predictive analysis, interpret results, identify data biases, and prevent underfitting or overfitting.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

Artificial Corner

JANUARY 7, 2025

The book starts with some Python basics and then explains how to automate tedious tasks such as searching for text in a file, creating files, renaming files, searching the web, downloading content from the web (also known as web scraping), and sending email responses and text notifications. Subscribe now 3.

Automation 98

Automation Python Data Scientist Data Analysis 98

Pickl AI

JULY 10, 2023

What is R in Data Science? As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. How is R Used in Data Science?

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Pickl AI

NOVEMBER 3, 2023

Learning Data Science from YouTube is a flexible, cost-effective, and accessible way to gain knowledge and skills in this rapidly growing field. Data Science , one of the most talked about topics, has been garnering a lot of attention these days. Top Data Science YouTubers 1.

Data Science 52

Data Science Machine Learning Data Scientist Python 52

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?

Data Analysis 52

Data Analysis Categorization Data Scientist Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

Data Science 52

Data Science Machine Learning Algorithm Explainability 52

Pickl AI

FEBRUARY 8, 2023

Data Scientists and Data Analysts have been using ChatGPT for Data Science to generate codes and answers rapidly. Data Manipulation The process through which you can change the data according to your project requirement for further data analysis is known as Data Manipulation.

Data Science 52

Data Science ChatGPT Chatbots Data Scientist 52

Towards AI

JANUARY 22, 2025

Simply put, focusing solely on data analysis, coding or modeling will no longer cuts it for most corporate jobs. My personal opinion: its more important than ever to be an end-to-end data scientist. You have to understand data, how to extract value from them and how to monitor model performances. What to do then?

Data Scientist 105

Data Scientist Data Drift Data Science Data Analysis 105

Pickl AI

JULY 2, 2024

Summary: Jupyter Notebook is a powerful tool for Python users in Data Science and scientific computing. Explore tips,, tricks, and resources to learn more about this user-friendly data exploration and analysis environment. Read More: Data Abstraction and Encapsulation in Python Explained.

Python 52

Python Explainability Data Science Data Analysis 52

Marktechpost

APRIL 4, 2024

R is a popular programming language and is widely used in data science and statistics. The popularity of data science has been increasing significantly over the past few years, which makes learning R an essential skill. This book is a good resource for beginners wanting to move into the data space.

Data Science 78

Data Science Data Analysis Data Mining Explainability 78

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 225

Machine Learning Automation AI AI 225

ODSC - Open Data Science

NOVEMBER 10, 2023

One role that is being especially disrupted by these advancements is that of the data scientist. Data science is already an exciting field, but new tools are taking it to the next level in terms of productivity and capabilities. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Data Science 52

Data Science Python Data Scientist Large Language Models 52

ODSC - Open Data Science

OCTOBER 3, 2023

Data Analysis and Interpretation Data plays a critical role in prompt engineering. You’ll likely work in cross-functional teams alongside data scientists, engineers, computational programmers, writers, and other domain experts. Being able to adapt and iterate on prompts to achieve the desired results is a valuable skill.

Prompt Engineering 97

Prompt Engineering Prompt Engineer Large Language Models Data Science 97

ODSC - Open Data Science

FEBRUARY 12, 2024

Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. You must be able to analyze data faster, more accurately, and within context. It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively.

Data Science 98

Data Science Automation Explainability Data Scientist 98

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

Mlearning.ai

MARCH 22, 2023

Unfortunately, this concept is complex and can’t be explained as well using the written word alone. I find the channel StatQuest is able to explain this concept quite well in the following video. PCA step-by-step Implementing PCA with Python We will use scikit-learn’s library to make a component analysis of our 4-dimensional data. .

Explainability 52

Explainability Data Scientist Machine Learning Algorithm 52