Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Deep Learning 318

Deep Learning Machine Learning Data Science Explainability 318

Analytics Vidhya

MAY 14, 2023

Thus, understanding the disparity between two fundamental algorithms, Regression vs Classification, becomes essential. […] The post Regression vs Classification in Machine Learning Explained! appeared first on Analytics Vidhya.

Machine Learning 318

Machine Learning Explainability Data Scientist Algorithm 318

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

Convolutional Neural Networks 400

Convolutional Neural Networks Neural Network Data Science Explainability 400

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

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? What is machine learning?

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. We will learn everything from scratch, and I will explain every […].

Machine Learning 393

Machine Learning Data Science Explainability Deep Learning 393

Analytics Vidhya

SEPTEMBER 16, 2022

Introduction Data science is a practical subject that the experts can best explain in the field. These sessions will enhance your domain knowledge and help you learn new […].

Data Science 388

Data Science Explainability Deep Learning 388

Analytics Vidhya

JUNE 23, 2022

He is working as a Senior Data Scientist with the IT consulting and solutions firm Careem. He has more than ten years of extensive experience in the field of analytics and data science. He will be explaining […].

Neural Network 357

Neural Network Data Scientist Data Science Explainability 357

IBM Journey to AI blog

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. ” In that blog, I have explained: how to create a dataset directory, train, test and validation dataset splitting, and training from scratch. This blog is […].

Convolutional Neural Networks 363

Convolutional Neural Networks Neural Network Data Science Explainability 363

ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. 20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article explains the problem of exploding and vanishing gradients while. The post The Challenge of Vanishing/Exploding Gradients in Deep Neural Networks appeared first on Analytics Vidhya.

Neural Network 329

Neural Network Data Science Explainability Algorithm 329

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. Practical Statistics for Data Scientists This is a beginner-friendly book that covers the statistical concepts that are essential for the field of data science.

Data Science 117

Data Science Data Mining Machine Learning Neural Network 117

Analytics Vidhya

NOVEMBER 6, 2020

This article was published as a part of the Data Science Blogathon. Today I am going to try my best in explaining. Introduction Hello! The post A Short Intuitive Explanation of Convolutional Recurrent Neural Networks appeared first on Analytics Vidhya.

Neural Network 291

Neural Network Data Science Explainability Convolutional Neural Networks 291

NYU Center for Data Science

SEPTEMBER 25, 2024

CDS announced a new course in the center’s newly launched Lifelong Learning Program. Foundations of Deep Learning” offers CDS alumni the chance to dive into the latest advancements in AI and machine learning. I interact with animations, and when I explain mathematical concepts, the math pops up in the background.

Deep Learning 97

Deep Learning Convolutional Neural Networks Neural Network Data Science 97

Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

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

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

NYU Center for Data Science

NOVEMBER 9, 2023

Yann LeCun is a renowned deep learning pioneer and one of the most important minds in AI, and over the past few years he has been developing a comprehensive theory of machine learning, centered around “energy-based models,” which he calls “the only way to formalize and understand all model types.”

Deep Learning 98

Deep Learning Explainability Machine Learning AI 98

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Key benefits include: reducing the necessity of large data science teams. Combining diverse AI techniques enables human-like decision-making.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

Analytics Vidhya

MARCH 4, 2024

The apology came after GOI sought to explain the AI’s questionable output. Introduction In a surprising turn of events, tech giant Google apologizes to India over the controversial results generated by its AI platform, Gemini, about Prime Minister Narendra Modi.

Explainability 348

Explainability Large Language Models AI AI 348

NYU Center for Data Science

JANUARY 18, 2024

Micah Goldblum , a Postdoctoral Researcher at CDS, has created exactly that, in a recent survey intended to capture the multifaceted views of influential figures in deep learning. Goldblum’s work, the first in a planned series, aims to document diverse opinions in the field, particularly those not amplified by social media platforms.

Deep Learning 91

Deep Learning Machine Learning Explainability Data Science 91

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

Heartbeat

FEBRUARY 13, 2023

Before you go… If you liked this article and want to stay tuned with more exciting articles on Python & Data Science  — do consider becoming a medium member by clicking here [link]. In this way, the portion of the membership fee goes to me, which motivates me to write more exciting stuff on Python and Data Science.

Data Science 94

Data Science Python Deep Learning Machine Learning 94

Analytics Vidhya

APRIL 19, 2024

It integrates vision, language, and action to explain and determine driving behavior. Introduction Wayve, a leading artificial intelligence company based in the United Kingdom, introduces Lingo-2, a groundbreaking system that harnesses the power of natural language processing.

Natural Language Processing 305

Natural Language Processing Artificial Intelligence Artificial Intelligence Explainability 305

Flipboard

MARCH 12, 2025

These are the best online AI courses you can take for free this month: A Gentle Introduction to Generative AI AI-900: Microsoft Azure AI Fundamentals AI Art Generation Guide: Create AI Images For Free AI Filmmaking AI for Beginners: Learn The Basics of ChatGPT AI for Business and Personal Productivity: A Practical Guide AI for Everyone AI Literacy (..)

Prompt Engineering 158

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 158

NYU Center for Data Science

DECEMBER 11, 2024

While scientists typically use experiments to understand natural phenomena, a growing number of researchers are applying the scientific method to study something humans created but dont fully comprehend: deep learning systems. The organizers saw a gap between deep learnings two traditional camps.

Deep Learning 70

Deep Learning Neural Network Machine Learning Explainability 70

ODSC - Open Data Science

MARCH 11, 2025

Why Gradient Boosting Continues to Dominate Tabular DataProblems Machine learning has seen the rise of deep learning models, particularly for unstructured data such as images and text. Yet, when it comes to structured, tabular data, gradient boosting remains a gold standard.

Machine Learning 52

Machine Learning Deep Learning Categorization Data Scientist 52

Marktechpost

MAY 5, 2024

It covers topics such as clustering, predictive modeling, and advanced methods like ensemble learning using the scikit-learn toolkit. Participants also gain hands-on experience with open-source frameworks and libraries like TensorFlow and Scikit-learn. and demonstrates their application in various real-world applications.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

PyImageSearch

MARCH 31, 2025

These equations form a network of connections that explain many scientific, engineering, and economic situations. Figure 4: Matrix factorization (source: Towards Data Science ). Figure 6: Illustration of the LU decomposition of a matrix (source: Towards Data Science ). Or requires a degree in computer science?

Computer Vision 66

Computer Vision Deep Learning Algorithm Data Science 66

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Pickl AI

AUGUST 23, 2024

Summary: This blog post delves into the importance of explainability and interpretability in AI, covering definitions, challenges, techniques, tools, applications, best practices, and future trends. It focuses on providing insights into why a model produced a specific output based on its input data.

Explainability 52

Explainability Deep Learning Machine Learning Neural Network 52

Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Pickl AI

SEPTEMBER 23, 2024

Summary: This guide covers the most important Deep Learning interview questions, including foundational concepts, advanced techniques, and scenario-based inquiries. Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Convolutional Neural Networks 52

IBM Journey to AI blog

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

AssemblyAI

NOVEMBER 9, 2023

The models are powered by advanced Deep Learning and Machine Learning research. In Natural Language Processing, or NLP, Text Summarization refers to the process of using Deep Learning and Machine Learning models to synthesize large bodies of texts into their most important parts.

NLP 256

NLP AI Modeling Machine Learning AI 256

Pickl AI

JUNE 9, 2024

Summary: Mastering mathematics is crucial for excelling in Data Science. Overcoming challenges through practical applications, continuous learning, and resource utilisation is key to success. Introduction Mathematics plays a pivotal role in Data Science.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52