Analytics Vidhya

JUNE 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The various deep learning methods use data to train neural. The post Image Processing using CNN: A beginners guide appeared first on Analytics Vidhya.

Deep Learning 319

Deep Learning Deep Learning Data Science Analytics 319

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Neural Networks, we have the concept of Loss Functions, The post Complete Guide to Gradient-Based Optimizers in Deep Learning appeared first on Analytics Vidhya.

Deep Learning 162

Deep Learning Deep Learning Data Science Analytics 162

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon ANN – General Introduction: Artificial Neural Networks (ANN)are the basic algorithms. The post Artificial Neural Networks – Better Understanding ! appeared first on Analytics Vidhya.

Data Science 397

Data Science Algorithm Analytics Analytics 397

Hacker News

JANUARY 1, 2024

Delve into the realm of generative AI and large language models (LLMs) while exploring modern deep learning techniques, including LSTMs, GRUs, RNNs with new chapters included in this 50% new … - Selection from 50 Algorithms Every Programmer Should Know - Second Edition [Book]

Algorithm 117

Algorithm Deep Learning Deep Learning AI 117

Data Science Dojo

NOVEMBER 10, 2023

Jax: Jax is a high-performance numerical computation library for Python with a focus on machine learning and deep learning research. It is developed by Google AI and has been used to achieve state-of-the-art results in a variety of machine learning tasks, including generative AI.

Python 442

Python AI AI Machine Learning 442

Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and Machine Learning algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Which is also our topic today. And that was just one model.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

Machine Learning Machine Learning Algorithm AI 195

Analytics Vidhya

APRIL 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction An important factor that is the basis of any. The post Is Gradient Descent sufficient for Neural Network? appeared first on Analytics Vidhya.

Data Science 397

Data Science Analytics Analytics Algorithm 397

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction From this article, you will learn how to play Super. The post Playing Super Mario Bros with Deep Reinforcement Learning appeared first on Analytics Vidhya.

Data Science 374

Data Science Analytics Analytics Deep Learning 374

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.

Data Science 329

Data Science Analytics Analytics Algorithm 329

Analytics Vidhya

JUNE 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we’ll cover Gradient Descent along with its. The post Guide to Gradient Descent and Its Variants with Python Implementation appeared first on Analytics Vidhya.

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Python Data Science Analytics Analytics 329

Data Science Dojo

JUNE 14, 2023

By applying AI algorithms and technologies, manufacturers can automate quality control, predictive maintenance, resource optimization, and other operations, leading to increased efficiency and cost savings 2. To start learning about Generative AI, book a call with us today!

Deep Learning 195

Deep Learning Deep Learning AI AI 195

Analytics Vidhya

APRIL 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Convolution operation reigned supreme in the domain of computer. The post Invert the characteristics of Convolution with Involution appeared first on Analytics Vidhya.

Data Science 234

Data Science Analytics Analytics Algorithm 234

Data Science Dojo

JUNE 20, 2024

For example, you can ask Siri to book a ride through a ride-sharing app and then send the ETA to a friend via a messaging app, all through voice commands. This setup is used for tasks like Siri’s deep learning-based voice recognition, where extensive data sets can be analyzed quickly to understand and predict user queries more effectively.

AI 195

AI AI Algorithm Deep Learning 195

Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Set clear goals that inspire you and tailor your learning journey accordingly.

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AI AI Algorithm Natural Language Processing 195

Data Science Dojo

JUNE 26, 2023

In the library, for example, a young person or child may read various books, articles, and writings from a wide variety of authors. The program reads and analyzes a vast amount of text, including books, websites, and articles. Therefore, it is able to learn the meaning of words, the structure of words, and the relation between them.

Deep Learning 195

Deep Learning Deep Learning Algorithm Artificial Intelligence 195

Data Science Blog

APRIL 25, 2023

This is the second part of the fourth article of the series My elaborate study notes on reinforcement learning. *In In this article series “the book by Barto and Sutton” means “Reinforcement Learning: An Introduction second edition.” Rewards are sparse, but learning is always there.

Algorithm 147

Algorithm Deep Learning Deep Learning Machine Learning 147

Heartbeat

OCTOBER 18, 2023

Whether finding the perfect movie to watch , discovering a new book, or uncovering hidden gems in a vast online store, recommender systems are pivotal in delivering tailored user experiences. In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

PyImageSearch

AUGUST 5, 2024

One such probabilistic model that has gained significant attention is the “BM25” (Best Match 25) algorithm. The BM25 algorithm, with its probabilistic foundation, offers a more sophisticated and effective approach, making it a compelling topic of exploration.

Algorithm 73

Algorithm Python Machine Learning Machine Learning 73

Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

Deep Learning 97

Deep Learning Deep Learning Algorithm Machine Learning 97

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

Machine Learning 105

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 105

PyImageSearch

MAY 8, 2023

You could write an algorithm that predicts the sales of comic books, and your model works well and produces high-accuracy predictions, but you need to know why. Or maybe it’s the opposite, your algorithm predicts completely wrong sales figures, and you need to figure out why. Disney+ has shows about comic book characters.

Machine Learning 107

Machine Learning Machine Learning Deep Learning Deep Learning 107

Mlearning.ai

FEBRUARY 26, 2023

Dive Into Deep Learning — Part 2 This is part 2 of my summary of the chapters I read from the dive into deep learning book. Dive Into Deep Learning — Part1 The following sections of the analytic solution talk about optimizing the model and how to calculate the gradients. BECOME a WRITER at MLearning.ai

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Deep Learning Deep Learning Algorithm Analytics 40

Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems.

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AI AI Deep Learning Deep Learning 158

PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Summary Citation Information DETR Breakdown Part 2: Methodologies and Algorithms In this tutorial, we’ll learn about the methodologies applied in DETR. 2020) propose the following algorithm. Optimal Bipartite Matching ?

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Algorithm Deep Learning Deep Learning Computer Science 60

Smart Data Collective

FEBRUARY 15, 2022

In the past, people usually plagiarized content out of books. They would have to go through every possible book they could think of to identify passages that students or other authors might have copied. Artificial intelligence algorithms have been instrumental in fighting plagiarism.

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Artificial Intelligence Artificial Intelligence AI AI 126

Applied Data Science

OCTOBER 25, 2021

Solid theoretical background in statistics and machine learning, experience with state-of-the-art deep learning algorithms, expert command of tools for data pre-processing, database management and visualisation, creativity and story-telling abilities, communication and team-building skills, familiarity with the industry.

Data Science 130

Data Science Machine Learning Machine Learning Deep Learning 130

ODSC - Open Data Science

MARCH 3, 2023

Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book. In the interview, we talked about the quest for the “ultimate machine learning algorithm.” We are definitely close than when I wrote the book.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

Applied Data Science

JUNE 16, 2023

Hosted by David Foster, author of the bestselling book ‘Generative Deep Learning’, this podcast brings you enlightening fireside chats, captivating case studies, and revolutionary ideas, uncovering the transformative power of AI.

AI 130

AI AI Data Science Artificial Intelligence 130

Smart Data Collective

AUGUST 20, 2021

A lot of developers are using machine learning algorithms to better understand their customers, create more targeted ads (if they have apps based on ad monetization), provide better features and streamline the design process. Machine learning can be surprisingly useful when it comes to monetizing apps. Think about your audience.

Machine Learning 90

Machine Learning Machine Learning Algorithm Data Mining 90

Towards AI

JULY 23, 2024

Somehow it makes sense because overfitting is when a model’s algorithm learns its training data so well that it fails to make accurate predictions on new, unseen data. A model that overfits also shows the point where the objective function for the model’s algorithm has been optimized. That is not the subject of this article.

Machine Learning 119

Machine Learning Machine Learning Algorithm Deep Learning 119

ODSC - Open Data Science

SEPTEMBER 21, 2023

The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. Finally, and this may be controversial, the most important skill for you being a successful ML engineer in the real world is one that this book will not teach you, and that is the ability to communicate effectively.

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Machine Learning Machine Learning ML ML 98

Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. What do machine learning engineers do? In the context of a business, machine learning engineers are responsible for creating bots that are utilized for chat purposes or data collection.

ML 110

ML ML Machine Learning Machine Learning 110

PyImageSearch

OCTOBER 21, 2024

By leveraging machine learning techniques, businesses can significantly reduce downtime and maintenance costs, ensuring smoother and more efficient operations. One such technique is the Isolation Forest algorithm, which excels in identifying anomalies within datasets. Let’s understand the Isolation Forest algorithm in detail.

Algorithm 98

Algorithm Deep Learning Deep Learning Data Preparation 98

How to Learn Machine Learning

DECEMBER 15, 2024

Machine Learning by Stanford University (Andrew Ng) This legendary program, taught by the AI pioneer Andrew Ng , is often considered the definitive introduction to machine learning. Deep Learning Specialization Developed by deeplearning.ai

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Dataconomy

JULY 3, 2023

Inspired by nature’s own processes, evolutionary computing uses smart algorithms to tackle complex challenges in various areas. Evolutionary computing algorithms can analyze lots of medical information, spot patterns, and optimize diagnostic methods to help doctors make accurate and fast diagnoses.

Algorithm 91

Algorithm Artificial Intelligence Artificial Intelligence Clustering 91