AI News

SEPTEMBER 30, 2024

A mathematician by training and a skilled practitioner in many aspects of data analysis, we began our interview by having him describe Wolfram’s work in an elevator pitch format. ” “We’re doing problem-solving, the type of things that use computation and data science. Gen AI just adds to this list.”

Data Science 235

Data Science Big Data Artificial Intelligence Artificial Intelligence 235

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 monitors crops 24/7 using cameras that collect high-resolution imagery, which is then processed through advanced algorithms to detect pests, diseases, and nutrient deficiencies.

Computer Vision 176

Computer Vision Actionable Intelligence Continuous Learning Algorithm 176

Flipboard

MAY 2, 2023

Netflix machine-learning algorithms, for example, leverage rich user data not just to recommend movies, but to decide which new films to make. Facial recognition software deploys neural nets to leverage pixel data from millions of images. A blockchain is in essence a large database, decentralized among many users.

Data Science 181

Data Science Data Analysis Machine Learning Data Scientist 181

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Analytics Vidhya

JULY 21, 2024

Introduction In data science, having the ability to derive meaningful insights from data is a crucial skill. A fundamental understanding of statistical tests is necessary to derive insights from any data.

Data Scientist 350

Data Scientist Data Science Algorithm Data Analysis 350

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Analytics Vidhya

MAY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning.

Machine Learning 367

Machine Learning Data Science Algorithm Data Analysis 367

Marktechpost

MAY 15, 2024

In the vast world of data science, countless tools are available to help analysts and researchers make sense of data and build powerful machine-learning models. Whether one is working on regression or classification tasks, LazyPredict streamlines the process and helps find the best model for the data.

Data Science 122

Data Science Python Machine Learning Data Analysis 122

Analytics Vidhya

JANUARY 29, 2024

Introduction Machine learning has revolutionized the field of data analysis and predictive modelling. With the help of machine learning libraries, developers and data scientists can easily implement complex algorithms and models without writing extensive code from scratch.

Machine Learning 353

Machine Learning Data Scientist Data Analysis Algorithm 353

Flipboard

JANUARY 20, 2025

Shoppers probably dont realize how large a role data science plays in retail. Those are just some of the insights that data scientist Vivek Anand extracts to inform decision makers at the Gap , a clothing company headquartered in San Francisco. The existing algorithms were not efficient. But underneath they are similar.

Data Science 144

Data Science Data Scientist Machine Learning Artificial Intelligence 144

Marktechpost

OCTOBER 10, 2024

In today’s tech-driven world, data science and machine learning are often used interchangeably. This article explores the differences between data science vs. machine learning , highlighting their key functions, roles, and applications. What is Data Science? However, they represent distinct fields.

Data Science 106

Data Science Machine Learning Data Scientist ML Engineer 106

Marktechpost

MARCH 31, 2024

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. These books cover a range of topics from foundational knowledge in data analysis and manipulation to advanced insights into machine learning and AI.

Data Science 117

Data Science Data Mining Machine Learning Neural Network 117

Marktechpost

AUGUST 8, 2024

Mathematics is crucial in data science as it underpins algorithms and models used for data analysis and prediction. It helps understand data patterns, optimize solutions, and make informed decisions. This course is for learning to make predictions based on statistical data.

Data Science 107

Data Science Data Analysis Machine Learning Python 107

IBM Journey to AI blog

OCTOBER 23, 2024

Derive maximum value from your data Advanced analytical software professionals who use open source programming languages like R and Python frequently seek scalability, database connectivity, improved output quality and the ability to share algorithms with those who lack programming expertise.

Python 219

Python Data Analysis Data Science Machine Learning 219

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Datasets are to machine learning models what experiences are to human beings. Have you ever witnessed a strange occurrence? What exactly do you consider to be strange? What constitutes an odd event?

Machine Learning 396

Machine Learning Data Science Data Analysis Algorithm 396

ODSC - Open Data Science

FEBRUARY 2, 2023

Here’s what we found for both skills and platforms that are in demand for data scientist jobs. Data Science Skills and Competencies Aside from knowing particular frameworks and languages, there are various topics and competencies that any data scientist should know. Joking aside, this does infer particular skills.

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Data Science Data Scientist Big Data Machine Learning 98

Unite.AI

FEBRUARY 12, 2025

This kind of functionality is especially useful for small manufacturers who often lack dedicated staff for data analysis the AI helps automate routine tasks and surfaces insights (like best-selling products or low stock alerts). Visit Fiix 7. Augury Augury is a specialist AI tool focused on predictive maintenance and machine health.

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AI Tools Machine Learning Auto-complete AI 256

ODSC - Open Data Science

MAY 22, 2023

Training AI-Powered Algorithmic Trading with Python Dr. Yves J. Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading.

Data Science 97

Data Science Python Machine Learning Data Analysis 97

ODSC - Open Data Science

SEPTEMBER 15, 2023

In addition to its prowess in crafting captivating narratives and artistic creations, generative AI demonstrates its versatility by helping users empower their own data analytics. With its advanced algorithms and language comprehension, it can navigate complex datasets and distill valuable insights. Get your pass today !

Data Analysis 96

Data Analysis Generative AI Data Science AI 96

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2026, with a CAGR of 27.7%.

Data Analysis 52

Data Analysis Data Science Data Scientist Data Quality 52

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

Marktechpost

NOVEMBER 11, 2024

Python has become the go-to language for data analysis due to its elegant syntax, rich ecosystem, and abundance of powerful libraries. Data scientists and analysts leverage Python to perform tasks ranging from data wrangling to machine learning and data visualization.

Data Analysis 89

Data Analysis Python Natural Language Processing Computer Vision 89

AI News

OCTOBER 15, 2024

By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance. Providing training data, and using data science will allow chatbots to communicate with customers.

Machine Learning 302

Machine Learning Chatbots Business Intelligence Automation 302

Artificial Corner

DECEMBER 12, 2024

Before we start with today’s article, I’d like to tell you about something that might be of interest to those interested in Python and data science. DataCamp has an incredible certification program that’s perfect for you: The Python Data Associate Certification. Credit: Unsplash Hi!

Data Science 97

Data Science Python Machine Learning Chatbots 97

NVIDIA

MARCH 18, 2025

With NVIDIA CUDA-X libraries for data science, developers can significantly accelerate data processing and machine learning tasks, enabling faster exploratory data analysis, feature engineering and model development with zero code changes.

AI Developer 104

AI Developer AI Development Machine Learning Chatbots 104

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

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Becoming Human

MAY 15, 2023

Data Science is a popular as well as vast field; till date, there are a lot of opportunities in this field, and most people, whether they are working professionals or students, everyone want a transition in data science because of its scope. How much to learn? What to do next?

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Data Science Neural Network Machine Learning Python 75

Marktechpost

JULY 7, 2024

These courses span various fields, including computer science, data science, business, and the humanities, providing valuable learning opportunities regardless of geographical or financial constraints. These concepts are essential for understanding statistical inference and analyzing data influenced by chance.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Machine Learning Data Science 120

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

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Students also learn Python programming, from fundamentals to data manipulation with NumPy and Pandas, along with version control using Git.

Data Science 60

Data Science Machine Learning Data Analysis Software Engineer 60

IBM Journey to AI blog

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 207

Machine Learning Algorithm Neural Network Artificial Intelligence 207

Unite.AI

SEPTEMBER 12, 2023

Serafim Batzoglou is Chief Data Officer at Seer. Prior to joining Seer, Serafim served as Chief Data Officer at Insitro, leading machine learning and data science in their approach to drug discovery. Seer is leveraging machine learning at all steps from technology development to downstream data analysis.

Machine Learning 293

Machine Learning LLM Data Analysis Data Science 293

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

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

Towards AI

MARCH 5, 2023

Get ahead in the AI game with our top picks for laptops that are perfect for machine learning, data science, and deep learning at every budget. Last updated March 5, 2023 Are you tired of endlessly scouring the internet for the perfect laptop to power your machine learning, deep learning, and data science projects?

Deep Learning 76

Deep Learning Data Science Machine Learning ML 76

Analytics Vidhya

MAY 17, 2023

By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples appeared first on Analytics Vidhya.

Machine Learning 277

Machine Learning Algorithm Big Data Data Analysis 277