Unite.AI

MAY 8, 2024

He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. During my school years, I spent a lot of time studying math, probability theory, and statistics, and got an opportunity to play with classical machine learning algorithms such as linear regression and KNN.

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

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 91

Data Analysis Python Natural Language Processing Computer Vision 91

AssemblyAI

SEPTEMBER 4, 2024

  Today, deep learning technology, heavily influenced by Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition , dominates the field. In the next section, we’ll discuss how these deep learning approaches work in more detail. How does speech recognition work?

Deep Learning 306

Deep Learning Auto-complete Machine Learning Natural Language Processing 306

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. 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.

Machine Learning 296

Machine Learning Chatbots Business Intelligence Automation 296

AI News

AUGUST 31, 2023

It is powered by ERNIE (Enhanced Representation through Knowledge Integration), a powerful deep learning model. Earlier this month, Baidu revealed that ERNIE Bot’s training throughput had increased three-fold since March and that it had achieved new milestones in data analysis and visualisation.

Generative AI 347

Generative AI Big Data AI AI 347

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. What is machine learning? Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

Analytics Vidhya

FEBRUARY 4, 2023

One of the most promising areas within AI in healthcare is Natural Language Processing (NLP), which has the potential to revolutionize patient care by facilitating more efficient and accurate data analysis and communication.

NLP 291

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 291

Unite.AI

FEBRUARY 17, 2025

At the next level, AI agents go beyond predictive AI algorithms and software with their ability to operate autonomously, adapt to changing environments, and make decisions based on both pre-programmed rules and learned behaviors.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

AWS Machine Learning Blog

OCTOBER 24, 2024

Alternatives to Rekognition people pathing One alternative to Amazon Rekognition people pathing combines the open source ML model YOLOv9 , which is used for object detection, and the open source ByteTrack algorithm, which is used for multi-object tracking.

Python 89

Python Algorithm Computer Vision Deep Learning 89

Marktechpost

MAY 5, 2024

Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. Machine Learning Specialization “Machine Learning Specialization” teaches the core concepts of machine learning and how to build real-world AI applications using the same.

Machine Learning 120

Machine Learning Python Neural Network Convolutional Neural Networks 120

IBM Journey to AI blog

DECEMBER 19, 2023

This type of machine learning is useful in known outlier detection but is not capable of discovering unknown anomalies or predicting future issues. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

Machine Learning 207

Machine Learning Algorithm Neural Network Artificial Intelligence 207

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

Pickl AI

SEPTEMBER 25, 2024

Summary: This blog delves into 20 Deep Learning applications that are revolutionising various industries in 2024. From healthcare to finance, retail to autonomous vehicles, Deep Learning is driving efficiency, personalization, and innovation across sectors.

Deep Learning 52

Deep Learning Algorithm Convolutional Neural Networks Neural Network 52

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. It also provides a good reference for implementing the algorithms, which enhances their understanding and application.

Data Science 120

Data Science Data Mining Machine Learning Neural Network 120

Marktechpost

JULY 7, 2024

These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. You’ll learn to use training data to discover predictive relationships, train algorithms, and avoid overtraining with techniques like cross-validation.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Machine Learning Data Science 123

IBM Journey to AI blog

JULY 6, 2023

Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Marktechpost

JUNE 11, 2023

From Artificial Intelligence and Data Analysis to Cryptography and Optimization, algorithms play an important role in every domain. Algorithms are basically a set of procedures that help in completing a particular task in a step-by-step manner. To tackle it, AlphaDev has been used.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence Data Analysis 98

Marktechpost

JULY 3, 2023

We will give details of Artificial Intelligence approaches such as Machine Learning and Deep Learning. By the end of the article, you will understand how innovative Deep Learning technology leverages historical data and accurately forecasts outcomes of lengthy and expensive experimental testing or 3D simulation (CAE).

Deep Learning 125

Deep Learning Machine Learning Neural Network Artificial Intelligence 125

Pickl AI

FEBRUARY 7, 2025

Summary: Machine Learning and Deep Learning are AI subsets with distinct applications. ML works with structured data, while DL processes complex, unstructured data. Introduction In todays world of AI, both Machine Learning (ML) and Deep Learning (DL) are transforming industries, yet many confuse the two.

Deep Learning 52

Deep Learning Machine Learning Neural Network Convolutional Neural Networks 52

Marktechpost

OCTOBER 10, 2024

Data science is used to guide decision-making and influence business strategies. Key Components of Data Science Data Collection : Gathering raw data from various sources. Data Cleaning : Ensuring the data is usable and accurate. Data Analysis : Applying statistical methods to discover trends.

Data Science 108

Data Science Machine Learning Data Scientist ML Engineer 108

PyImageSearch

MARCH 31, 2025

Computer Science: Algorithms for graphics rendering, machine learning, and data analysis often rely on solving large systems of linear equations efficiently. Figure 4: Matrix factorization (source: Towards Data Science ). They help in determining the equilibrium points in supply-demand models. Thats not the case.

Computer Vision 66

Computer Vision Deep Learning Algorithm Data Science 66

AssemblyAI

AUGUST 29, 2024

Deep Learning Speech Recognition Model: The audio signal is fed into a speech recognition deep learning model trained on a large corpus of audio-transcription pairs, which generates the transcription of the input audio. Deep Learning Speech Recognition Model This process maps the audio signal to a sequence of words.

Deep Learning 173

Deep Learning Neural Network Data Analysis Artificial Intelligence 173

Unite.AI

SEPTEMBER 12, 2023

My team’s focus has been the application of algorithms, machine learning and software tools building for the analysis of large-scale genomic and biomolecular data. Can you discuss some of the machine learning technology that is currently used at Seer Bio?

Machine Learning 299

Machine Learning LLM Data Analysis Data Science 299

Marktechpost

JUNE 5, 2024

These technologies utilize computer vision and deep learning algorithms to analyze data captured by drones, facilitating crop and soil health monitoring. ML algorithms also help predict environmental changes, including weather fluctuations, that impact crop yield.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Deep Learning Algorithm 120

Marktechpost

MAY 15, 2024

Whether one is working on regression or classification tasks, LazyPredict streamlines the process and helps find the best model for the data. Lux: Lux is like having a data analysis assistant. It automatically generates visualizations and insights from your datasets, making exploring and understanding your data easier.

Data Science 125

Data Science Python Machine Learning Data Analysis 125

Viso.ai

DECEMBER 17, 2024

PaddlePaddle (PArallel Distributed Deep LEarning), is a deep learning open-source platform. It is China’s very first independent R&D deep learning platform. It allows developers and researchers to build, train, and deploy deep learning models intended for industrial-grade applications.

Deep Learning 52

Deep Learning Computer Vision Neural Network Artificial Intelligence 52

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

Dlabs.ai

JUNE 19, 2020

If you Google ‘ what’s needed for deep learning ,’ you’ll find plenty of advice that says vast swathes of labeled data (say, millions of images with annotated sections) are an absolute must. You may well come away thinking, deep learning is for ‘superhumans only’ — superhumans with supercomputers. Let’s get to it!

Deep Learning 52

Deep Learning Neural Network Machine Learning Computer Vision 52

IBM Journey to AI blog

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. More meaningful insights from customer data: Today, many marketers struggle with the sheer amount of data available to them when they’re planning a campaign.

Automation 240

Automation Data Scientist Machine Learning Chatbots 240

IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Computer Vision 247

Computer Vision Robotics NLP Automation 247

Marktechpost

OCTOBER 23, 2024

These theories provide the framework for developing intelligent systems capable of learning, reasoning, and making decisions. From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI.

Neural Network 116

Neural Network Algorithm Robotics Machine Learning 116

Marktechpost

MAY 10, 2024

Introduction to Machine Learning for Finance This course covers foundational machine learning concepts in banking, focusing on data analysis tailored for financial data. AI for Trading This course focuses on AI algorithms for trading and offers hands-on projects crafted by industry professionals.

Machine Learning 103

Machine Learning Python Neural Network Deep Learning 103

Viso.ai

OCTOBER 10, 2024

Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. Pattern Recognition in Data Analysis What is Pattern Recognition? The data inputs can be words or texts, images, or audio files.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Unite.AI

JULY 25, 2024

The 1990s saw significant improvements in statistical machine translation as models learned from vast amounts of bilingual data, leading to better translations. A significant breakthrough came with neural networks and deep learning. IBM's Model 1 and Model 2 laid the groundwork for advanced systems. Deploying Llama 3.1

Neural Network 202

Neural Network AI AI Machine Learning 202

Marktechpost

MAY 1, 2024

In contrast, artificial intelligence represents a different paradigm, focusing on specific tasks performed through algorithms, data processing, and machine learning techniques. Fundamental Differences: Human and artificial intelligence differ fundamentally in structure, speed, connectivity, scalability, and energy consumption.

Neural Network 113

Neural Network Artificial Intelligence Artificial Intelligence Explainability 113