KDnuggets

JUNE 12, 2025

But you do need to understand the mathematical concepts behind the algorithms and analyses youll use daily. Part 2: Linear Algebra Every machine learning algorithm youll use relies on linear algebra. Understanding it transforms these algorithms from mysterious black boxes into tools you can use with confidence.

Data Science 104

Data Science Algorithm Machine Learning Datasets 104

ProjectPro

JUNE 6, 2025

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Machine Learning and Deep Learning Understanding machine learning and deep learning algorithms aren’t a must for data engineers. Offers fun UI for the implementation of machine learning algorithms. Supports big data technology well.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

databricks

JUNE 11, 2025

Second, based on this natural language guidance, our algorithms intelligently translate the guidance into technical optimizations – refining the retrieval algorithm, enhancing prompts, filtering the vector database, or even modifying the agentic pattern. First, we are able to receive the rich context of natural language guidance (e.g.

Entertainment 132

Entertainment Manufacturing Retail Consulting 132

Netflix Tech

JANUARY 6, 2025

Since these attributes feed directly into algorithms, any delays or inaccuracies can ripple through thesystem. Algorithms Complex algorithms drive each personalized product experience, recommending titles tailored to individual members. TitleSetup A titles setup includes essential attributes like metadata (e.g.,

Metadata 93

Metadata Algorithm Systems Engineering 93

ProjectPro

JUNE 6, 2025

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. Artificial intelligence engineers are problem solvers who navigate between machine learning algorithmic implementations and software development.

Engineering 75

Engineering Software Engineering Deep Learning Software Engineer 75

Engineering at Meta

FEBRUARY 3, 2025

To handle leap seconds in a PTP environment we take an algorithmic approach that shifts time automatically for systems that use PTP and combine this with an emphasis on using Coordinated Universal Time (UTC) over International Atomic Time (TAI). microseconds.

Algorithm 98

Algorithm Utilities Systems Engineering 98

The Pragmatic Engineer

OCTOBER 17, 2024

The cost of benchmarking Given the team has relatively little funding: how much does infrastructure cost?

Cloud 330

Cloud Metadata AWS Cloud Computing 330

ProjectPro

JUNE 6, 2025

In this geospatial data science example project, the goal is to deduce whether a given pixel of a satellite-image belongs to land or not using machine learning/deep learning algorithms. Before you move ahead with the implementation of the algorithms, make sure to perform exploratory data analysis methods to understand the data in depth.

Data Science 65

Data Science Project Transportation Algorithm 65

ProjectPro

JUNE 6, 2025

In data science, algorithms are usually designed to detect and follow trends found in the given data. Artificial neural network (ANNs) is probably the most popular algorithm to implement unsupervised anomaly detection. However, these unsupervised algorithms may learn incorrect patterns or overfit a particular trend in the data.

Machine Learning 60

Machine Learning Python Algorithm Datasets 60

ProjectPro

JUNE 6, 2025

Hyperparameter Tuning in Machine Learning Hyperparameter Selection Techniques How To Tune Hyperparameters For A Machine Learning Algorithm? Importance Of Hyperparameters in Machine Learning Hyperparameters affect several aspects of using a machine learning algorithm. How Do Hyperparameters Affect Model Performance?

Machine Learning 61

Machine Learning Algorithm Deep Learning Datasets 61

ProjectPro

JUNE 6, 2025

Machine learning (ML) is the study and implementation of algorithms that can mimic the human learning process. The algorithms’ goals are to enable a computer to think and make decisions without emphatic instructions from a human user. The algorithms evolved from simple decision trees to complex deep neural network architectures.

Project 68

Project Deep Learning Algorithm Machine Learning 68

ProjectPro

JUNE 6, 2025

To build and fine-tune the model, you will implement machine learning algorithms like linear regression, decision trees, and random forests. You will use various algorithms like Word2Vec or TF-IDF to improve the accuracy of the analysis. Next, you will choose an appropriate anomaly detection algorithm.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent.

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

You can configure your model deployment to handle those frequent algorithm-to-algorithm calls, and this ensures that the correct algorithms are running smoothly and computation time is minimal. Machine learning algorithms make big data processing faster and make real-time model predictions extremely valuable to enterprises.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

Despite the presence of different types of machine learning techniques, the process of how a machine learning algorithm works is split into three principal fragments: The Decision Process The goal of a machine learning system is to predict or classify an output based on some input variables. How does Machine Learning Work?

Machine Learning 75

Machine Learning Algorithm Medical Utilities 75

ProjectPro

JUNE 6, 2025

There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. You can start the stock price prediction project by applying simple ML algorithms like Averaging and Linear Regression. That is why so many financial institutions are investing heavily in machine learning R&D.

Finance 75

Finance Machine Learning Project Banking 75

ProjectPro

JUNE 6, 2025

For that purpose, we need a specific set of utilities and algorithms to process text, reduce it to the bare essentials, and convert it to a machine-readable form. A stemming algorithm simply maps the variant of a word to its stem (the base form). Nevertheless, the nltk stemmer gives us at least three stemming algorithms to choose from.

Building 66

Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

Classification algorithms can effectively label the events as fraudulent or suspected to eliminate the chances of fraud. Algorithmic Trading – Sentiment Analysis Stock market variations depend on several factors, with the sentiments of people being one of the crucial factors for stock price prediction.

Machine Learning 68

Machine Learning Retail Healthcare Algorithm 68

ProjectPro

JUNE 6, 2025

Customer Churn Prediction with SageMaker Studio XGBoost Algorithm 2. Linear Regression with Amazon SageMaker XGBoost Algorithm 8. The Orchestrator uploads model artifacts, training data, and algorithm zip files into the S3 assets bucket. Using SageMaker Processing and Fargate to Execute a Dask job 3.

Project 45

Project AWS Algorithm Machine Learning 45

ProjectPro

JUNE 6, 2025

Data Scientists use machine learning algorithms to predict equipment failures in manufacturing, improve cancer diagnoses in healthcare , and even detect fraudulent activity in 5. It will assist in picking a suitable machine-learning algorithm. These models are used to determine which customers are at risk of churn.

Machine Learning 75

Machine Learning Algorithm Amazon Web Services Healthcare 75

ProjectPro

JUNE 6, 2025

All these methods use algorithms that process large volumes of data and transform it into usable software. For example, algorithms that use long videos as training data sets require GPUs with greater memory. For example, algorithms that use long videos or medical pictures as training data sets require a GPU with large memory.

Machine Learning 65

Machine Learning Project Deep Learning Algorithm 65

ProjectPro

JUNE 6, 2025

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

They consider data science to be a challenging domain to pursue because it has to do a lot with implementing complex algorithms. After careful analysis, one decides which algorithms should be used. It automatically searches for the best hyperparameters by implementing algorithms in Python. Table of Contents What is MLOps?

Amazon Web Services 68

Amazon Web Services Machine Learning Datasets Algorithm 68

ProjectPro

JUNE 6, 2025

1) Predicting Sales of BigMart Stores 2) Insurance Claims Severity Prediction Learning Probability and Statistics for Machine Learning Whenever we work on a project that uses a machine-learning algorithm, there are two significant steps involved. The last few chapters are related to methods of hypothesis testing.

Machine Learning 74

Machine Learning Insurance Algorithm Deep Learning 74

ProjectPro

JUNE 6, 2025

’s method of colouring images using a deep learning algorithm. Solution Approach: Creating such an application will require you to first train a deep learning algorithm like YOLOv4 with the images of different fruits. But now, it has become a regular feature in a smartphone, all thanks to advanced deep learning algorithms.

Project 72

Project Deep Learning Algorithm Food 72

Engineering at Meta

DECEMBER 2, 2024

This system pushes the boundary of cutting edge AI for retrieval with NVIDIA Grace Hopper Superchip and Meta Training and Inference Accelerator (MTIA) hardware through innovations in ML model architecture, feature representation, learning algorithm, indexing, and inference paradigm.

Engineering 92

Engineering Algorithm Utilities Machine Learning 92

ProjectPro

JUNE 6, 2025

Unlike traditional algorithms that follow strict instructions, AI agents adapt their behavior based on the feedback they receive. Decision-Making: The agent processes the input using algorithms, often incorporating AI models like neural networks or decision trees.

Deep Learning 80

Deep Learning Algorithm Machine Learning Banking 80

ProjectPro

JUNE 6, 2025

BERT NLP BERT NLP -Learning Takeaways FAQs on BERT Algorithm Introduction to BERT NLP Model BERT NLP model is a group of Transformers encoders stacked on each other. Let’s break that statement down: Models are the output of an algorithm run on data, including the procedures used to make predictions on data.

Algorithm 75

Algorithm Banking Architecture Project 75

Precisely

DECEMBER 12, 2024

This bias can be introduced at various stages of the AI development process, from data collection to algorithm design, and it can have far-reaching consequences. For example, a biased AI algorithm used in hiring might favor certain demographics over others, perpetuating inequalities in employment opportunities.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

Snowflake

JANUARY 6, 2025

By feeding real-world data into these simulations, OEMs can refine algorithms faster, reducing the time and costs associated with traditional testing methods.

Manufacturing 95

Manufacturing Cloud Computing Data Storage Technology 95

ProjectPro

JUNE 6, 2025

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b. Text Sequencing c.

Machine Learning 69

Machine Learning Project Algorithm Datasets 69

ProjectPro

JUNE 6, 2025

It is possible to classify raw data using machine learning algorithms , identify trends, and turn data into insights. Create data collection, storage, accessibility, quality assurance, and analytics algorithms. Understanding how these algorithms work is more important than knowing their source code.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Then, you can build a clustering algorithm that groups closely related words and skills that a candidate should possess in each domain. Another approach you can take is the use of a distance-based algorithm like cosine similarity. Words that are similar in context (and not just keywords) should be considered.

Project 98

Project Datasets Deep Learning Machine Learning 98

Engineering at Meta

MAY 8, 2025

Previously, in 2016, Meta had incorporated high performing vector search algorithms made for NVIDIA GPUs: GpuIndexFlat ; GpuIndexIVFFlat ; GpuIndexIVFPQ. officially includes these algorithms from the NVIDIA cuVS library. officially includes these algorithms from the NVIDIA cuVS library. In its latest release, Faiss 1.10.0

Algorithm 89

Algorithm Datasets Machine Learning Database 89

ProjectPro

JUNE 6, 2025

Another thing that you should keep in mind is to regularly track the new machine learning algorithms and data science techniques that are being introduced and practise a few projects around their implementation. This portfolio should highlight all the different types of data science projects that you have worked on, along with algorithms.

Portfolio 73

Portfolio Data Science Algorithm Programming Language 73

ProjectPro

JUNE 6, 2025

Adaptive momentum or Adam optimizer is an optimization algorithm designed to deal with sparse gradients on noisy problems. List the steps to implement a gradient descent algorithm. Once saturated, the learning algorithms cannot adapt to the weights and enhance the performance of the model.

Deep Learning 65

Deep Learning Datasets Algorithm Machine Learning 65

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. All the data preparation steps for machine learning algorithms implementation will be covered along with tools. Machine Learning algorithms are mathematical algorithms that use arithmetic operations to create prediction systems.

Data Preparation 45

Data Preparation Machine Learning Project IT 45