Towards AI

JANUARY 22, 2025

Uncomfortable reality: In the era of large language models (LLMs) and AutoML, traditional skills like Python scripting, SQL, and building predictive models are no longer enough for data scientist to remain competitive in the market. My personal opinion: its more important than ever to be an end-to-end data scientist.

Data Scientist 105

Data Scientist Data Drift Data Science Data Analysis 105

Marktechpost

APRIL 2, 2024

Python is a general-purpose programming language and is one of the most popular languages because of its versatility, ease of use, libraries, and active community. Moreover, with the exponential rise in the popularity of artificial intelligence (AI), which mainly uses Python, there is an increase in demand for it.

Python 120

Python Machine Learning Data Science Algorithm 120

Marktechpost

MAY 5, 2024

Additionally, Python has emerged as the primary language for various ML tasks. This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters. and evaluating the same.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

Artificial Corner

JANUARY 7, 2025

Automate the Boring Stuff with Python This is a book that I think many have heard of. Automate the Boring Stuff with Python teaches you how to write programs that can accomplish in minutes what would take hours to do manually. By solving these real-world problems you will increase your knowledge of Python while automating your life.

Automation 98

Automation Python Data Scientist Data Analysis 98

Analytics Vidhya

FEBRUARY 26, 2023

This article explains how GPT-3 revolutionized AI in the Life Sciences Industry. Introduction Artificial Intelligence has seen enormous advancements in recent years, notably in the life sciences sector. Various fields of the life sciences, like Biotechnology, Pharmaceuticals, and Medical devices, could be transformed by using AI.

Artificial Intelligence 337

Artificial Intelligence Artificial Intelligence Explainability AI 337

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

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

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

AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system.

LLM 115

LLM Data Analysis Python Generative AI 115

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

Pickl AI

JULY 2, 2024

Summary: Jupyter Notebook is a powerful tool for Python users in Data Science and scientific computing. This tutorial guides you through launching Jupyter Notebook, using cells for code and explanations, and running Python code. It allows you to write code, visualise data, and document your work within a user-friendly interface.

Python 52

Python Explainability Data Science Data Analysis 52

Marktechpost

APRIL 29, 2024

IBM Data Science Professional Certificate This course helps master the practical skills and knowledge necessary for a proficient data scientist. It is a beginner-friendly course that teaches the tools, languages, and libraries data scientists use, such as Python and SQL.

Data Science 124

Data Science Data Scientist Python Machine Learning 124

Artificial Corner

FEBRUARY 6, 2025

Source: Pexels Whether you’re new to programming or an experienced developer, Python has one or two applications that might interest you. The best thing is that you don’t need to be an expert programmer to get started with Python. What can you automate with Python? What’s worth automating? It can be anything.

Python 80

Python Machine Learning Automation Data Science 80

Marktechpost

MARCH 31, 2024

Whether you’re a beginner, a seasoned data scientist, or someone interested in leveraging data in your work, our carefully selected list of top data science books for 2024 offers a comprehensive guide. The book also provides Python code to explain these concepts.

Data Science 117

Data Science Data Mining Machine Learning Neural Network 117

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

Towards AI

SEPTEMBER 8, 2023

In this first part of the series Object Oriented Programming (OOP) in Python – for Beginers, we'll embark on a journey to demystify the concept of classes and objects. Throughout this journey, we'll explain each concept with straightforward, easy-to-understand examples. 1 OOP2 Classes2.1 Attributes2.2 1 OOP2 Classes2.1

Python 89

Python Explainability AI AI 89

AssemblyAI

NOVEMBER 7, 2023

  Read more>> Automatically determine video sections with AI using Python : Learn how to automatically determine video sections, how to generate section titles with LLMs, and how to format the information for YouTube chapters.

AI Modeling 130

AI Modeling Python OpenAI Data Analysis 130

Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

Pickl AI

FEBRUARY 6, 2025

Summary: Data Analysis and interpretation work together to extract insights from raw data. Analysis finds patterns, while interpretation explains their meaning in real life. Introduction Data Analysis and interpretation are key steps in understanding and making sense of data.

Data Analysis 52

Data Analysis Data Quality Explainability Machine Learning 52

Unite.AI

SEPTEMBER 19, 2024

GPT-4o Mini : A lower-cost version of GPT-4o with vision capabilities and smaller scale, providing a balance between performance and cost​ Code Interpreter : This feature, now a part of GPT-4, allows for executing Python code in real-time, making it perfect for enterprise needs such as data analysis, visualization, and automation.

LLM 246

LLM Automation Large Language Models OpenAI 246

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

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. Act One: Exploratory Data Analysis — Automation The nuisance of repetitive tasks is something we programmers know all too well.

Machine Learning 124

Machine Learning Data Analysis Data Science Automation 124

Mlearning.ai

JULY 9, 2023

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal Abstract Polars is a fast-growing open-source data frame library that is rapidly becoming the preferred choice for data scientists and data engineers in Python.

Data Analysis 52

Data Analysis Python Data Scientist Explainability 52

Pickl AI

JUNE 7, 2024

Summary: Abstraction in Python simplifies complex systems, hiding implementation details for better code readability. Encapsulation safeguards data integrity by restricting direct access to an object’s data and methods. Introduction This article explores the fascinating concepts of abstraction and encapsulation in Python.

Python 40

Python Explainability Software Development Data Integration 40

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

Marktechpost

MAY 3, 2024

ChatGPT Advanced Data Analysis This course teaches how to enhance productivity and foster creativity. It covers how to use ChatGPT to achieve tasks like extracting data from a series of PDFs, answering questions about the data in files, producing social media and marketing content from a series of documents, etc.

ChatGPT 106

ChatGPT Prompt Engineering Prompt Engineer Large Language Models 106

Artificial Corner

JULY 7, 2023

For example, if you want the AI to help you start and grow a SaaS business, you could say, “Explain everything step by step.” Write Python scripts: By telling the AI it’s an expert Python programmer and asking it to help you write a Python script, you can get a detailed and well-commented script.

Prompt Engineering 98

Prompt Engineering Prompt Engineer NLP Explainability 98

Marktechpost

JUNE 7, 2024

The concept of GPTs is very simple to explain: GPTs mean you can create a custom version of ChatGPT by combining instructions, extra knowledge on the subject matter, and some skills. Code Copilot can help you in code interpretation and data analysis, retrieving or being able to take actions outside of ChatGPT, and browsing.

Software Development 81

Software Development Software Architect Data Analysis Software Engineer 81

Towards AI

JULY 18, 2024

The second is on Generative AI and explains the latest papers related to Generative AI. From LLMs to quantum computing, data analysis, and beyond, Brilliant helps you level up in minutes a day. I have partnered with O’Reilly to create two specific “shortcut” video series on LLMs and GenAI research. Our must-read articles 1.

Computer Vision 105

Computer Vision Chatbots LLM Explainability 105

Pickl AI

SEPTEMBER 2, 2024

Each method explained in terms of its purpose and application, helping you choose the right visualisation for your data analysis needs. Introduction Data visualisation is a powerful tool that helps us understand, interpret, and communicate data effectively. What is Matplotlib?

Python 52

Python Data Analysis Explainability 52

Pickl AI

JULY 26, 2024

Summary: Python automation and scripting simplify repetitive tasks, improve efficiency, and streamline workflows. Learn to leverage Python’s tools and libraries for real-world applications. Introduction Python is pivotal in automation and scripting, offering versatile tools to streamline repetitive tasks and enhance efficiency.

Automation 52

Automation Python Explainability Data Analysis 52

Towards AI

SEPTEMBER 28, 2023

This article explains what PySpark is, some common PySpark functions, and data analysis of the New York City Taxi & Limousine Commission Dataset using PySpark. PySpark is an interface for Apache Spark in Python. This member-only story is on us. Upgrade to access all of Medium.

Python 75

Python Data Analysis Explainability AI 75

Flipboard

DECEMBER 11, 2024

SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment.

Big Data Architect 160

Big Data Architect Big Data ML Generative AI 160

Unite.AI

SEPTEMBER 28, 2024

Engineers: Debug code, compare LLM responses, create Python unit tests, and summarize research papers. Brand Strategists: You.com's AI tools and brainstorming strategies can be used for market research , competitor analysis, and trend identification. Creative: Explain the visual or graphic you're envisioning.

AI Tools 157

AI Tools LLM Python Data Analysis 157

Pickl AI

AUGUST 27, 2024

It offers flexibility in handling indexes, creating hierarchical indexes, and managing overlapping data. This guide explains the syntax, parameters, and practical examples to help you master data concatenation in Python. The pandas library in Python offers a powerful tool for this purpose: the concat function.

Python 52

Python Data Analysis Explainability Data Integration 52

Marktechpost

APRIL 12, 2024

Practical Statistics for Data Scientists This book covers how to apply statistical methods to data science, focusing on programming languages like Python and R. It covers supervised and unsupervised machine learning algorithms, helping data scientists better grasp the underlying statistical concepts.

Data Scientist 107

Data Scientist Python Data Science Data Analysis 107

Pickl AI

MAY 29, 2023

Python, a renowned programming language known for its simplicity and versatility, has garnered immense popularity worldwide. Delving into the realm of Python is a good investment. Delving into the realm of Python is a good investment. What is Python? What is Python? which offer efficient ways of achieving tasks.

Python 52

Python Data Analysis Machine Learning Data Science 52