insideBIGDATA

MAY 17, 2024

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale.

Machine Learning 417

Machine Learning Machine Learning Deep Learning Deep Learning 417

Hacker News

MARCH 21, 2025

This is a collection of (mostly) pen-and-paper exercises in machine learning.

Machine Learning 134

Machine Learning Machine Learning 134

Machine Learning Research at Apple

OCTOBER 23, 2024

Of course, a user may request on-device experiences powered by machine learning (ML) that can be enriched by looking up global knowledge hosted on servers. By performing computations locally on a user’s device, we help minimize the amount of data that is shared with Apple or other entities.

Machine Learning 364

Machine Learning Machine Learning ML ML 364

Machine Learning Mastery

MARCH 18, 2025

Debugging machine learning models entails inspecting, discovering, and fixing possible errors in the internal mechanisms of these models.

Machine Learning 276

Machine Learning Machine Learning 276

Machine Learning Mastery

JANUARY 20, 2025

Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that a career in machine learning will only become more important with time.

Machine Learning 287

Machine Learning Machine Learning 287

Dataconomy

MARCH 17, 2025

Overfitting in machine learning is a common challenge that can significantly impact a model’s performance. What is overfitting in machine learning? The model essentially memorizes the training data rather than learning to generalize from it.

Machine Learning 103

Machine Learning Machine Learning Cross Validation Deep Learning 103

Machine Learning Mastery

NOVEMBER 22, 2024

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task. Unity makes strength.

Machine Learning 293

Machine Learning Machine Learning ML ML 293

Dataconomy

MARCH 6, 2025

Epoch in machine learning represents a fundamental concept crucial for training models effectively. By understanding how many full cycles through the training dataset the model undergoes, practitioners can refine the models learning process and enhance performance. What is epoch in machine learning?

Machine Learning 91

Machine Learning Machine Learning 91

Dataconomy

MARCH 21, 2025

Bagging in machine learning is an innovative approach that significantly boosts the accuracy and stability of predictive models. What is bagging in machine learning? What is bagging in machine learning? Improved accuracy: By combining predictions, it leads to lower overall error rates.

Machine Learning 91

Machine Learning Machine Learning Decision Trees Algorithm 91

insideBIGDATA

OCTOBER 30, 2024

In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it's important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.

Machine Learning 284

Machine Learning Machine Learning AI AI 284

Machine Learning Mastery

JANUARY 8, 2025

Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability. Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise.

Data Scientist 283

Data Scientist Machine Learning Machine Learning AI 283

KDnuggets

OCTOBER 16, 2024

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

Machine Learning 398

Machine Learning Machine Learning ML ML 398

Analytics Vidhya

NOVEMBER 26, 2024

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging.

ML 290

ML ML Machine Learning Machine Learning 290

Analytics Vidhya

JANUARY 15, 2025

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

ML 271

ML ML Artificial Intelligence Artificial Intelligence 271

KDnuggets

AUGUST 15, 2024

The AI and ML complexity results in a growing number and diversity of jobs that require AI & ML expertise. We’ll give you a rundown of these jobs regarding the technical skills they need and the tools they employ.

Machine Learning 370

Machine Learning Machine Learning ML ML 370

Analytics Vidhya

OCTOBER 12, 2024

These courses cover everything from basic programming to advanced machine learning. To break into this field, you need the right skills. Fortunately, top institutions like Harvard and IBM offer free online courses.

Data Science 223

Data Science Machine Learning Machine Learning Analytics 223

Analytics Vidhya

DECEMBER 7, 2024

Python’s versatility and readability have solidified its position as the go-to language for data science, machine learning, and AI. With a rich ecosystem of libraries, Python empowers developers to tackle complex tasks with ease.

Python 288

Python Data Science Machine Learning Machine Learning 288

Analytics Vidhya

JANUARY 29, 2025

Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization.

Natural Language Processing 291

Natural Language Processing Machine Learning Machine Learning Algorithm 291

Analytics Vidhya

DECEMBER 16, 2024

The NeurIPS 2024 Best Paper Awards were announced, spotlighting exceptional contributions to the field of Machine Learning. This year, 15,671 papers were submitted, of which 4,037 were accepted, representing an acceptance rate of 25.76%.

Machine Learning 271

Machine Learning Machine Learning Analytics Analytics 271

Analytics Vidhya

OCTOBER 30, 2024

Your new best friend in your machine learning, deep learning, and numerical computing journey. Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Think of it as NumPy with superpowers.

Deep Learning 249

Deep Learning Deep Learning Machine Learning Machine Learning 249

Analytics Vidhya

NOVEMBER 11, 2024

Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, high-performance toolset for building complex machine learning models.

Machine Learning 222

Machine Learning Machine Learning Analytics Analytics 222

Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. We have realized that less effective research has been conducted in applying data science and machine learning to better the adverse consequences of war, pushing us to design this dataset.

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

Analytics Vidhya

NOVEMBER 20, 2024

It is crucial to probability theory and a foundational element for more intricate statistical models, ranging from machine learning algorithms to customer behaviour prediction. A key idea in data science and statistics is the Bernoulli distribution, named for the Swiss mathematician Jacob Bernoulli.

Data Science 198

Data Science Machine Learning Machine Learning Algorithm 198

Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Analytics Vidhya

OCTOBER 14, 2024

Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer.

Machine Learning 222

Machine Learning Machine Learning AI AI 222

insideBIGDATA

JUNE 19, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 513

Big Data Big Data Deep Learning Deep Learning 513

Analytics Vidhya

DECEMBER 7, 2024

HuggingFace Spaces is a platform that enables developers and researchers to create, deploy, and share machine learning applications effortlessly. Spaces provide a simple and collaborative environment to host interactive demos of machine learning models using frameworks like Gradio and Streamlit.

Machine Learning 205

Machine Learning Machine Learning AI AI 205

Analytics Vidhya

FEBRUARY 14, 2025

Thats when I thoughtwhy not let Machine Learning […] The post How to Build an Anime Recommendation System with Hugging Face? As my watchlist was growing thinner and thinner, finding the next best anime became harder and harder. There are so many hidden gems out there, but how do I discover them?

Machine Learning 212

Machine Learning Machine Learning Analytics Analytics 212

Analytics Vidhya

DECEMBER 26, 2024

Linear algebra is a cornerstone of many advanced mathematical concepts and is extensively used in data science, machine learning, computer vision, and engineering. One of the fundamental concepts in linear algebra is eigenvectors, often paired with eigenvalues. But what exactly is an eigenvector, and why is it so important?

Machine Learning 208

Machine Learning Machine Learning Data Science Analytics 208

Analytics Vidhya

DECEMBER 2, 2024

As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios.

Machine Learning 208

Machine Learning Machine Learning Analytics Analytics 208

insideBIGDATA

NOVEMBER 4, 2024

In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance.

Machine Learning 243

Machine Learning Machine Learning AI AI 243

Data Science Dojo

NOVEMBER 27, 2024

Understanding Statistical Distributions through Examples Understanding statistical distributions is crucial in data science and machine learning, as these distributions form the foundation for modeling, analysis, and predictions. Read to gain insights into how each distribution plays a role in real-world machine-learning tasks.

Data Science 317

Data Science Natural Language Processing AI AI 317

insideBIGDATA

OCTOBER 22, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 480

Big Data Big Data Deep Learning Deep Learning 480

Analytics Vidhya

NOVEMBER 23, 2024

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information.

Data Analysis 208

Data Analysis Data Analysis Machine Learning Machine Learning 208

Analytics Vidhya

JANUARY 2, 2025

In this Leading with Data session, we dive into the journey of Anand Ranganathan, a visionary in AI and machine learning. From his early days at IBM to co-founding innovative startups like Unscramble and 1/0, Anand shares insights into the challenges, transformations, and future of AI.

Machine Learning 271

Machine Learning Machine Learning AI AI 271

insideBIGDATA

MARCH 18, 2024

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

Deep Learning 464

Deep Learning Deep Learning Machine Learning Machine Learning 464

insideBIGDATA

JANUARY 18, 2024

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

Big Data 513

Big Data Big Data Deep Learning Deep Learning 513