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.

Deep Learning 342

Deep Learning Deep Learning Analytics Analytics 342

Dataversity

DECEMBER 16, 2020

Click here to learn more about Gilad David Maayan. Deep learning is the basis for many complex computing tasks, including natural language processing (NLP), computer vision, one-to-one personalized marketing, and big data analysis. The post Understanding GPUs for Deep Learning appeared first on DATAVERSITY.

Deep Learning 98

Deep Learning Deep Learning Natural Language Processing Big Data 98

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 Deep Learning Analytics 318

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 […].

Deep Learning 337

Deep Learning Deep Learning Data Scientist 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 ML Machine Learning Machine Learning 328

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

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?

Tableau 329

Tableau Data Science Data Visualization Data Analysis 329

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 Machine Learning Data Scientist Data Analysis 353

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.

Data Analysis 326

Data Analysis Data Analysis AI AI 326

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 Analysis Data Scientist Analytics 306

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 Data Analysis Python Database 340

Data Science Dojo

JULY 2, 2023

This evolution is fueled by the exponential expansion of available data and the successful implementation of the Transformer architecture. Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs. One example of a large language model designed for banking is SambaNova GPT Banking.

Natural Language Processing 341

Natural Language Processing Deep Learning Deep Learning Predictive Analytics 341

Dataconomy

MARCH 11, 2025

This equation succinctly encapsulates the process of how AI derives outputs from inputs, emphasizing the importance of mathematical foundations in developing effective machine learning models. This complexity allows deep learning models to capture intricate patterns and relationships that traditional methods may overlook.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

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 Machine Learning Machine Learning Data Analysis 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 Data Analysis ML 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 Analysis Data Science Analytics 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 Machine Learning Machine Learning Data Analysis 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.

Data Visualization 304

Data Visualization Python Data Analysis Data Analysis 304

Dataconomy

APRIL 3, 2025

Advantages of t-SNE t-SNE offers several key benefits that make it a preferred choice for certain data analysis tasks. Data intuition This technique enhances data understanding and visualization by revealing hidden patterns and relationships, which might not be immediately apparent in high-dimensional space.

Clustering 91

Clustering Exploratory Data Analysis Data Analysis Data Analysis 91

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 95

Machine Learning Machine Learning Decision Trees Deep Learning 95

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.

Natural Language Processing 291

Natural Language Processing Artificial Intelligence Artificial Intelligence Data Analysis 291

Dataconomy

MARCH 4, 2025

Synthetic data refers to artificially generated data that mirrors the statistical patterns and structures of real datasets without disclosing sensitive information about individuals. Importance of synthetic data The significance of synthetic data lies in its ability to address critical challenges in data handling and analysis.

Decision Trees 91

Decision Trees Machine Learning Machine Learning Deep Learning 91

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 Machine Learning Decision Trees Deep Learning 105

KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 131

Natural Language Processing Deep Learning Deep Learning Data Analysis 131

Data Science Dojo

SEPTEMBER 18, 2023

The rise of Generative AI While generative AI has been around for several decades, it has only recently become a reality thanks to the development of deep learning techniques. These techniques allow AI systems to learn from large amounts of data and generate new content that is indistinguishable from human-created content.

AI 273

AI AI Artificial Intelligence Artificial Intelligence 273

insideBIGDATA

SEPTEMBER 18, 2023

Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language.

SQL 244

SQL Data Analysis Data Analysis Analytics 244

Data Science Dojo

JUNE 1, 2023

Machine Learning with Python by Andrew Ng This is an intermediate-level course that teaches you more advanced machine-learning concepts using Python. The course covers topics such as deep learning and reinforcement learning. Take the first step by enrolling in our comprehensive data science course.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Deep Learning 195

insideBIGDATA

JUNE 10, 2023

With continued advancements and collaboration, AutoML has the potential to drive innovation and create new opportunities in the realm of artificial intelligence and data analysis.

Machine Learning 244

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 244

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 Visualization Data Analysis Data Analysis 235

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 Deep Learning Data Science Machine Learning 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 Deep Learning Predictive Analytics Algorithm 52

insideBIGDATA

FEBRUARY 17, 2024

They cover a range of topics, including the rise of AI hardware accelerators, the evolution of large language models into operating systems, and the potential impact of generative AI on data analysis roles.

Data Science 222

Data Science Data Scientist Machine Learning Machine Learning 222

Data Science Dojo

JUNE 10, 2024

When you see interactive and colorful charts on news websites or in business presentations that help explain complex data, that’s the power of AI-powered data visualization tools. Data scientists are using these tools to make data more understandable and actionable. H2O.ai: – H2O.ai

Data Scientist 195

Data Scientist Natural Language Processing Machine Learning Machine Learning 195

Dataconomy

FEBRUARY 26, 2025

Machine learning Machine learning involves analyzing data to develop algorithms that enhance over time. Deep learning A subset of machine learning, deep learning uses multi-layered neural networks to process large datasets and deliver high accuracy in prediction tasks.

Machine Learning 103

Machine Learning Machine Learning Deep Learning Deep Learning 103

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 Deep Learning Machine Learning Machine Learning 52

Data Science Dojo

APRIL 27, 2023

Link to the repository:  [link]   TensorFlow:  An open-source machine learning library developed by Google Brain Team. TensorFlow is used for numerical computation using data flow graphs.   Link to the repository:  [link]   Pandas:  A Python library for data manipulation and analysis.

Data Science 195

Data Science Analytics Analytics Power BI 195

Dataconomy

MARCH 4, 2025

By utilizing algorithms and statistical models, data mining transforms raw data into actionable insights. The data mining process The data mining process is structured into four primary stages: data gathering, data preparation, data mining, and data analysis and interpretation.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91