Marktechpost

DECEMBER 17, 2023

The post Amazon Researchers Leverage Deep Learning to Enhance Neural Networks for Complex Tabular Data Analysis appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Neural Network 107

Neural Network Deep Learning Data Analysis AI Research 107

Analytics Vidhya

APRIL 22, 2024

Introduction Deep learning is a fascinating field that explores the mysteries of gradients and their impact on neural networks. Solutions like ReLU activation and gradient clipping promise to revolutionize deep learning, unlocking secrets for training success.

Neural Network 316

Neural Network Deep Learning Data Analysis Algorithm 316

Analytics Vidhya

APRIL 15, 2024

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor performance on new data. This phenomenon is especially prevalent in complex neural architectures, which can model intricate relationships.

Neural Network 343

Neural Network Deep Learning Data Analysis Python 343

Marktechpost

NOVEMBER 26, 2023

Deep learning is being used in all spheres of life. Researchers at the University of California, San Diego, have formulated a new deep-learning platform that can be quickly and easily adapted to suit various genomics projects. It has its utility in every field. It has a big impact on biomedical research.

Deep Learning 132

Deep Learning Data Analysis AI Research AI Researcher 132

Analytics Vidhya

APRIL 24, 2024

From Google’s powerful Tesseract to EasyOCR’s fancy deep learning, these libraries can do some pretty […] The post Top 8 OCR Libraries in Python to Extract Text from Image appeared first on Analytics Vidhya. It is all thanks to something called Optical Character Recognition, or OCR.

Python 318

Python Deep Learning Data Analysis Computer Vision 318

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

Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). Make it simple, for every […].

ML Engineer 337

ML Engineer Data Scientist Deep Learning Data Science 337

Analytics Vidhya

APRIL 17, 2022

Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. Machine learning-based tactics, and deep learning-based approaches have applications in […]. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater.

ML 328

ML Machine Learning Deep Learning Data Analysis 328

Analytics Vidhya

MARCH 7, 2024

Its significance lies in its ability to transform complex data into easily understandable visualizations, aiding in better decision-making processes. At its core, Tableau transcends the boundaries of traditional data analysis by providing an intuitive platform where users can seamlessly connect to […] The post What is Tableau?

Data Science 329

Data Science Data Analysis Deep Learning Artificial Intelligence 329

Marktechpost

NOVEMBER 23, 2023

Researchers have introduced a novel approach using topological data analysis (TDA), to solve the issue. These models, including machine learning, neural networks, and AI models, have become standard tools in various scientific fields but are often difficult to interpret due to their extensive parameterization.

Deep Learning 124

Deep Learning AI Modeling Neural Network Machine Learning 124

Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

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

Analytics Vidhya

DECEMBER 21, 2023

Introduction The Pandas Library is a powerful tool in the data analysis ecosystem; it provides a wide range of functions that transform raw data into insightful revelations.

Data Analysis 306

Data Analysis Data Scientist Deep Learning Data Science 306

Analytics Vidhya

APRIL 15, 2024

From ChatGPT, which helps in copywriting, data analysis, and summarizing complex research papers, to Midjourney for generating high-definition images with a single prompt, and GitHub Copilot for […] The post 5 MIND-BLOWING AI Tools that Feel Illegal to Know appeared first on Analytics Vidhya.

AI Tools 326

AI Tools Data Analysis ChatGPT AI 326

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

Analytics Vidhya

JANUARY 27, 2024

A DataFrame is a two-dimensional labeled data structure with columns of potentially different types. In data analysis, creating a DataFrame is often […] The post 10 Ways to Create Pandas Dataframe appeared first on Analytics Vidhya. It is similar to a table in a relational database or a spreadsheet in Excel.

Data Analysis 340

Data Analysis Python Deep Learning Data Science 340

Towards AI

DECEMBER 18, 2024

I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! They chase the hype Neural Networks, Transformers, Deep Learning, and, who can forget AI and fall flat. Youll learn faster than any tutorial can teach you. More about me here.

Machine Learning 105

Machine Learning Neural Network Deep Learning Explainability 105

Unite.AI

NOVEMBER 6, 2023

Adaptability to Unseen Data: These models may not adapt well to real-world data that wasn’t part of their training data. Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Analytics Vidhya

JANUARY 10, 2024

Introduction Git is a powerful version control system that plays a crucial role in managing and tracking changes in code for data science projects. Whether you’re working on machine learning models, data analysis scripts, or collaborative projects, understanding and utilizing Git commands is essential.

Data Science 329

Data Science Data Analysis Machine Learning Deep Learning 329

Analytics Vidhya

MAY 26, 2023

Imagine diving into the details of data analysis, predictive modeling, and ML. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Envision yourself unraveling the insights and patterns for making informed decisions that shape the future.

Data Science 319

Data Science Data Analysis ML Deep Learning 319

Analytics Vidhya

SEPTEMBER 21, 2021

This article was published as a part of the Data Science Blogathon What you will learn in this Article In this article, we will see every single details that you need to know for sentiment data analysis using the LSTM network using the torchtext library. We will see, how to use spacy tokenizer in torchtext data […].

Data Analysis 318

Data Analysis Data Science Deep Learning NLP 318

Analytics Vidhya

FEBRUARY 2, 2024

Its simplicity and extensive libraries make it a go-to choice for diverse applications, from data analysis, machine learning, and web development to automation and scripting. Introduction Python offers developers a wide range of functionalities.

Python 305

Python Data Analysis Machine Learning Automation 305

Analytics Vidhya

FEBRUARY 12, 2024

Introduction In data analysis, creating visual representations is key to understanding and communicating insights effectively. One tool that shines in Python is ggplot. Built on the grammar of graphics, ggplot offers a straightforward way to make beautiful plots.

Python 305

Python Data Analysis Deep Learning Data Science 305

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 342

Generative AI Big Data AI AI 342

Unite.AI

MAY 8, 2024

He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. This interest led me to the Yandex School of Data Analysis, a highly competitive machine learning master's degree program in Russia (only 200 people are accepted each year).

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

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

Towards AI

DECEMBER 16, 2024

Key Contributions: Unique combination of kernel methods with deep learning principles. Application to a broad range of tasks, including physics-based simulations and temporal data analysis. Efficient handling of non-linear relationships.

AI Research 111

AI Research AI Researcher Computer Vision Neural Network 111

Unite.AI

FEBRUARY 6, 2025

Such a project would introduce concepts that include data analysis, feature engineering, and model evaluation while also providing a deep understanding of the ML lifecyclea key framework for systematically solving problems. Its helpful to start by choosing a project that is both interesting and manageable within the scope of ML.

Artificial Intelligence 165

Artificial Intelligence Artificial Intelligence ML Responsible AI 165

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

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

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

Unite.AI

OCTOBER 31, 2024

We label the data for sentiment, friction, compliance, adverse events, topics, and other metrics and pain points. These labels become the foundation of our AI machine learning and deep learning models.

Natural Language Processing 130

Natural Language Processing Machine Learning AI Modeling Data Scientist 130

Analytics Vidhya

MARCH 5, 2024

Introduction Geographic data visualization is a field that merges data analysis with geographic mapping to unveil patterns, trends, and insights across geographical locations.

Python 235

Python Data Analysis Deep Learning Data Science 235

AI News

OCTOBER 15, 2024

Personalisation : Based on customer data, chatbots and virtual assistants can personalise their interactions with customers like using real names, remembering past interactions and providing responses that are tailored to what the customer is requesting. This can help businesses schedule maintenance ahead of time to avoid loss of production.

Machine Learning 290

Machine Learning Chatbots Business Intelligence Automation 290

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

Flipboard

FEBRUARY 11, 2025

These are the best free online courses from MIT this month: Becoming an Entrepreneur Cell Biology: Cell-Cell Interactions Cell Biology: Transport and Signaling Circuits and Electronics 1: Basic Circuit Analysis Circuits and Electronics 2: Amplification, Speed, and Delay Circuits and Electronics 3: Applications Data Analysis: Statistical Modeling and (..)

Python 152

Python Deep Learning Data Analysis Machine Learning 152

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