Flipboard

FEBRUARY 5, 2025

This work proposes a robust solution for identifying and classifying a wide spectrum of materials through an iterative technique, called symmetry-based clustering (SBC). Instead, it identifies clusters in atomistic systems by automatically recognizing common unit cells.

Clustering 65

Clustering Machine Learning Machine Learning Algorithm 65

AWS Machine Learning Blog

JANUARY 30, 2025

The MoE architecture allows activation of 37 billion parameters, enabling efficient inference by routing queries to the most relevant expert clusters. Niithiyn Vijeaswaran is a Generative AI Specialist Solutions Architect with the Third-Party Model Science team at AWS. He holds a Bachelors degree in Computer Science and Bioinformatics.

AWS 131

AWS Python AI AI 131

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

AWS Machine Learning Blog

SEPTEMBER 26, 2024

However, building large distributed training clusters is a complex and time-intensive process that requires in-depth expertise. Clusters are provisioned with the instance type and count of your choice and can be retained across workloads. As a result of this flexibility, you can adapt to various scenarios.

Clustering 116

Clustering Algorithm ML ML 116

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Towards AI

JANUARY 6, 2025

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Towards AI

MAY 1, 2024

R is an open-source software best known for statistics and computation, while Python is more of a general-purpose programming language that you may use for plenty of tasks, thus geospatial professionals, statisticians and data analysts often prefer R for its robust features. Advantages of Using R for Machine Learning 1.

Machine Learning 98

Machine Learning Machine Learning K-nearest Neighbors Decision Trees 98

Flipboard

AUGUST 17, 2023

If you are prompted to choose a kernel, choose Data Science as the image and Python 3 as the kernel, then choose Select. as the image and Glue Python [PySpark and Ray] as the kernel, then choose Select. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster.

ML 123

ML ML AWS Data Warehouse 123

Smart Data Collective

NOVEMBER 8, 2020

Data engineering primarily revolves around two coding languages, Python and Scala. You should learn how to write Python scripts and create software. As such, you should find good learning courses to understand the basics or advance your knowledge of Python. Getting and organizing such data is called data processing.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

AWS Machine Learning Blog

SEPTEMBER 18, 2023

With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster. The managed infrastructure of SageMaker and features like processing jobs, training jobs, and hyperparameter tuning jobs can use Ray libraries underneath for distributed computing. You can specify resource requirements in actors too.

Machine Learning 123

Machine Learning Machine Learning ML ML 123

AWS Machine Learning Blog

MAY 1, 2024

In high performance computing (HPC) clusters, such as those used for deep learning model training, hardware resiliency issues can be a potential obstacle. It then replaces any faulty instances, if necessary, to make sure the training script starts running on a healthy cluster of instances.

AWS 112

AWS ML ML Clustering 112

AWS Machine Learning Blog

FEBRUARY 25, 2025

Libraries The programming language used in this code is Python, complemented by the LangChain module, which is specifically designed to facilitate the integration and use of LLMs. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. This method takes a parameter, which we set to 3.

Algorithm 72

Algorithm Machine Learning Machine Learning K-nearest Neighbors 72

O'Reilly Media

OCTOBER 19, 2021

If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. Prior to the cloud, setting up and operating a cluster that can handle workloads like this would have been a major technical challenge. However, not all Python code is equal. Why: Data Makes It Different.

ML 145

ML ML Data Scientist AWS 145

Flipboard

FEBRUARY 7, 2025

Python The code has been tested with Python version 3.13. For clarity of purpose and reading, weve encapsulated each of seven steps in its own Python script. Return to the command line, and execute the script: python create_invoke_role.py Return to the command line and execute the script: python create_connector_role.py

Database 86

Database AWS Python ML 86

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

OCTOBER 17, 2024

Introduction Hash functions are crucial in computer science and cryptography. Read More: What is a Hash Table in Python with an Example? Hash functions are essential tools in computer science and information security. They ensure data integrity, secure password storage, and enable digital signatures.

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. Education: Bachelors in Computer Scene or a Quantitative field. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research).

Azure 52

Azure SQL Database Python 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. Analysis of publications containing accelerated compute workloads by Zeta-Alpha shows a breakdown of 91.5% GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

AWS 96

AWS ML ML Clustering 96

ODSC - Open Data Science

JANUARY 7, 2025

Just as a writer needs to know core skills like sentence structure and grammar, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and soon. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

MAY 16, 2023

Python, Data Mining, Analytics and ML are one of the most preferred skills for a Data Scientist. For example, if you are a Data Scientist, then you should add keywords like Python, SQL, Machine Learning, Big Data and others. Expansive Hiring The IT and service sector is actively hiring Data Scientists.

Data Scientist 52

Data Scientist Data Science SQL Python 52

AWS Machine Learning Blog

AUGUST 22, 2023

Usually, if the dataset or model is too large to be trained on a single instance, distributed training allows for multiple instances within a cluster to be used and distribute either data or model partitions across those instances during the training process. Each account or Region has its own training instances.

Machine Learning 84

Machine Learning Machine Learning AWS ML 84

Pickl AI

DECEMBER 3, 2024

The publicly available repository offers datasets for various tasks, including classification, regression, clustering, and more. The UCI connection lends the repository credibility, as it is backed by a leading academic institution known for its contributions to computer science and artificial intelligence research.

Machine Learning 52

Machine Learning Machine Learning Clustering Supervised Learning 52

Pickl AI

MAY 29, 2024

By the end of this blog, you will feel empowered to explore the exciting world of Data Science and achieve your career goals. Programming Languages (Python, R, SQL) Proficiency in programming languages is crucial. Python and R are popular due to their extensive libraries and ease of use.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Read the full article here —  [link] For final-year students pursuing a degree in computer science or related disciplines, engaging in machine learning projects can be an excellent way to consolidate theoretical knowledge, gain practical experience, and showcase their skills to potential employers. Working Video of our App [link] 20.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Dataconomy

MARCH 13, 2023

Scikit-learn:  Scikit-learn is an open-source library that provides a range of tools for building and training machine learning models, including classification, regression, and clustering. Python provides a range of libraries and frameworks that make it easier to develop AI models.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Pickl AI

JULY 18, 2023

Here are the key steps to embark on the path towards becoming an AI Architect: Acquire a Strong Foundation Start by building a solid foundation in computer science, mathematics, and statistics. Develop Programming Skills Master programming languages such as Python, R, or Java, which are widely used in AI development.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JANUARY 13, 2025

Using simple language, it explains how to perform data analysis and pattern recognition with Python and R. Practical examples using Python and R. Make Your Own Neural Network By Tariq Rashid This book offers a step-by-step guide to understanding neural networks , from basic concepts to building your own using Python.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 5, 2024

Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines various techniques from statistics, mathematics, computer science, and domain expertise to interpret complex data sets.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

SEPTEMBER 22, 2024

They are fundamental in various fields of mathematics, physics, engineering, computer science, and statistics. Linear algebraic methods, such as eigenvector centrality and spectral clustering, help analyse and interpret these relationships. They enable efficient computations and model training.

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. It combines elements of statistics, mathematics, computer science, and domain expertise to extract meaningful patterns from large volumes of data.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group.

ML 72

ML ML Deep Learning Deep Learning 72

Pickl AI

SEPTEMBER 12, 2024

Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles from statistics, mathematics, computer science, and domain-specific knowledge to analyse and interpret complex data.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52