Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. ” What does a data scientist do?

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Data Science Dojo

OCTOBER 25, 2024

Developed by OpenAI, it’s one of the most extensive benchmarks available, containing 57 subjects that range from general knowledge areas like history and geography to specialized fields like law, medicine, and computer science. What is its Purpose?

Data Science 365

Data Science AI AI Computer Science 365

ODSC - Open Data Science

FEBRUARY 17, 2023

The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

PyImageSearch

SEPTEMBER 16, 2024

Home Table of Contents Credit Card Fraud Detection Using Spectral Clustering Understanding Anomaly Detection: Concepts, Types and Algorithms What Is Anomaly Detection? By leveraging anomaly detection, we can uncover hidden irregularities in transaction data that may indicate fraudulent behavior.

Clustering 56

Clustering Algorithm Machine Learning Machine Learning 56

Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Introduction Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, fundamentally transforming industries and everyday life.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Mlearning.ai

MAY 23, 2023

While specific requirements may vary depending on the organization and the role, here are the key skills and educational background that are required for entry-level data scientists — Skillset Mathematical and Statistical Foundation Data science heavily relies on mathematical and statistical concepts. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. Understanding their life cycles is critical to unlocking their potential.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Pickl AI

SEPTEMBER 22, 2024

Summary: Linear algebra underpins many analytical techniques in Data Science. Understanding vectors, matrices, and their applications, like PCA, improves data manipulation skills and enhances algorithm performance in real-world problems. What is Linear Algebra? Vectors Vectors are fundamental entities in linear algebra.

Data Science 52

Data Science Machine Learning Machine Learning Algorithm 52

Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence. Their collective efforts are indispensable for organizations seeking to harness data’s full potential and achieve business growth.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Data Science Dojo

SEPTEMBER 19, 2023

Read the Top 10 Statistics Books for Data Science Geometry and Topology 7. You will likely find that the histogram is bell-shaped, with most of the students clustered around the average height and fewer students at the extremes. The wave equation is used in many different areas of physics, engineering, and computer science.

Computer Science 195

Computer Science Computer Science Data Science Algorithm 195

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025.

Data Engineer 104

Data Engineer Data Engineering Data Engineering Data Engineering 104

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

DrivenData Labs

FEBRUARY 3, 2025

Most solvers were data science professionals, professors, and students, but there were also many data analysts, project managers, and people working in public health and healthcare. Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130

ODSC - Open Data Science

JUNE 7, 2023

ODSC Europe is next week, coming up June 14th-15th, and we can’t wait to bring the data science community together, both in-person and virtually, to reconnect, learn, and grow. Our in-person passes are almost sold out, but don’t worry. Check out our confirmed sessions below.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

ODSC - Open Data Science

APRIL 13, 2023

5 Industries Using Synthetic Data in Practice Here’s an overview of what synthetic data is and a few examples of how various industries have benefited from it. What Industries are Hiring for Different Jobs in AI Different data science and AI job titles are suitable for various niches and industries. Here’s how.

ML 52

ML ML Data Science Machine Learning 52

ODSC - Open Data Science

OCTOBER 18, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. billion in 2022, an increase of 21.3%

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

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. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. We attached the IAM role to the Redshift cluster that we created earlier.

ML 123

ML ML AWS Data Warehouse 123

ODSC - Open Data Science

JANUARY 7, 2025

The data science job market is rapidly evolving, reflecting shifts in technology and business needs. Heres what we noticed from analyzing this data, highlighting whats remained the same over the years, and what additions help make the modern data scientist in2025. Joking aside, this does infer particular skills.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Towards AI

MAY 1, 2024

R and Machine Learning The field of computer science known as “machine learning” focuses on creating algorithms with learning capabilities. Concept learning, function learning, sometimes known as “predictive modeling,” clustering, and the identification of predictive patterns are typical machine learning tasks.

Machine Learning 98

Machine Learning Machine Learning K-nearest Neighbors Decision Trees 98

Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

JUNE 19, 2024

High-Flyer’s journey began in a modest Chengdu apartment, where founder Liang Wenfeng, a computer science graduate from Zhejiang University, experimented with automated stock trading. The company has built a second supercomputing cluster, connecting over 10,000 Nvidia processors, enabling the training of large AI models.

AI 52

AI AI Data Science Computer Science 52

O'Reilly Media

OCTOBER 19, 2021

Similarly, it would be pointless to pretend that a data-intensive application resembles a run-off-the-mill microservice which can be built with the usual software toolchain consisting of, say, GitHub, Docker, and Kubernetes. Adapted from the book Effective Data Science Infrastructure. Data Science Layers.

ML 145

ML ML Data Scientist AWS 145

Data Science Dojo

AUGUST 18, 2023

They are typically trained on clusters of computers or even on cloud computing platforms. Natural Language Processing (NLP) Natural Language Processing (NLP) is a field of computer science that deals with the interaction between computers and human (natural) languages. LLMs are a powerful tool for NLP.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

Data Science 101

OCTOBER 12, 2023

It’s petabytes of data, so a lot of my time is spent processing it. I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. I think of Computer Science as a tool.

Azure 64

Azure Computer Science Computer Science Clustering 64

AWS Machine Learning Blog

FEBRUARY 25, 2025

SVM-based classifier: Amazon Titan Embeddings In this scenario, it is likely that user interactions belonging to the three main categories ( Conversation , Services , and Document_Translation ) form distinct clusters or groups within the embedding space. This doesnt imply that clusters coudnt be highly separable in higher dimensions.

Algorithm 72

Algorithm Machine Learning Machine Learning K-nearest Neighbors 72

ODSC - Open Data Science

APRIL 25, 2023

Graph visualization finds applications in various fields, such as computer science, social network analysis, biology, and business. Node sizes indicate the degree of collaboration, while node colors represent clusters of authors based on their collaborative patterns.

Data Science 52

Data Science Computer Science Computer Science Algorithm 52

Pickl AI

MAY 16, 2023

If you are a Data Scientist, then your LinkedIn profile should be flooded with information on Data Science’s latest development in this domain, such that it instantly garners the attention of recruiters as well as your contemporaries. is a trusted e-learning platform for Data Science. Wrapping it up !!!

Data Scientist 52

Data Scientist Data Science SQL Python 52

Snorkel AI

JANUARY 26, 2024

To achieve the trust, quality, and reliability necessary for production applications, enterprise data science teams must develop proprietary data for use with specialized models. Data scientists can best improve LLM performance on specific tasks by feeding them the right data prepared in the right way.

Data Science 64

Data Science AI AI Machine Learning 64

PyImageSearch

JUNE 19, 2023

This technique expresses a text item as a feature vector, which can be used to compute cosine similarity with other item feature vectors. Figure 7: TF-IDF calculation (source: Towards Data Science ). Figure 8: K-nearest neighbor algorithm (source: Towards Data Science ). Several clustering algorithms (e.g.,

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

Women in Big Data

DECEMBER 13, 2023

Dr Sonal Khosla (Speaker) holds a PhD in Computer Science with a specialization in Natural Language Processing from Symbiosis International University, India with publications in peer reviewed Indexed journals. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

AWS Machine Learning Blog

MARCH 15, 2024

Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking. EKS Blueprints helps compose complete EKS clusters that are fully bootstrapped with the operational software that is needed to deploy and operate workloads. Al Nevarez is Director of Product Management at FedML.

AWS 121

AWS ML ML Machine Learning 121

Pickl AI

OCTOBER 17, 2024

They ensure data integrity, secure password storage, and enable digital signatures. Introduction Hash functions are crucial in computer science and cryptography. They convert data into fixed-size outputs. This process is essential for various applications, including data integrity and security.

Clustering 52

Clustering Algorithm Computer Science Computer Science 52

Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ). Or requires a degree in computer science?

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132