KDnuggets

AUGUST 29, 2022

Free Python Project Coding Course • 5 Tricky SQL Queries Solved • Decision Tree Algorithm, Explained • Free AI for Beginners Course • The Complete Collection of Data Science Projects & Part 2.

Decision Trees 271

Decision Trees Python SQL Data Science 271

KDnuggets

AUGUST 15, 2022

Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained.

Decision Trees 271

Decision Trees SQL Data Science Python 271

Data Science Dojo

OCTOBER 31, 2024

Research Data Scientist Description : Research Data Scientists are responsible for creating and testing experimental models and algorithms. 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

KDnuggets

OCTOBER 20, 2022

Free Python for Data Science Course • 7 Machine Learning Portfolio Projects to Boost the Resume • Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • 5 Data Science Skills That Pay & 5 That Don't • Everything You’ve Ever Wanted to Know About Machine Learning • Free SQL and Database Course • 7 Data Analytics Interview (..)

Data Science 280

Data Science Python Machine Learning Machine Learning 280

KDnuggets

OCTOBER 9, 2019

Read a comprehensive SQL guide for data analysis; Learn how to choose the right clustering algorithm for your data; Find out how to create a viral DataViz using the data from Data Science Skills poll; Enroll in any of 10 Free Top Notch Natural Language Processing Courses; and more.

Data Analysis 133

Data Analysis Data Analysis SQL Data Science 133

Hacker News

SEPTEMBER 17, 2024

There are plenty of excellent off-the-shelf SRS algorithms out there, but I needed something (1) optional, (2) debuggable, and (3) cheap.

SQL 129

SQL Algorithm 129

Flipboard

MARCH 17, 2025

Algorithms: Design and Analysis Algorithms: Design and Analysis Part 2 American Prophet: The Inner Life and Global Vision of Martin Luther King, Jr. These are the best Stanford University courses you can take for free this month.

Computer Science 154

Computer Science Computer Science Database SQL 154

Hacker News

JULY 26, 2023

tl;dr: part 1 explains what an explanation algorithm is, and part 2 describes an open source SQL data differ.

Algorithm 94

Algorithm SQL 94

Analytics Vidhya

MAY 2, 2024

To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used. Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems.

Algorithm 319

Algorithm Analytics Analytics SQL 319

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Python, R, and SQL: These are the most popular programming languages for data science.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Data Science Dojo

OCTOBER 4, 2024

Their work involves designing experiments to test computing theories, developing new computing languages, and creating algorithms to improve software and hardware performance. Mathematical Aptitude: Proficiency in advanced mathematics, including calculus and discrete mathematics, which are essential for developing algorithms and models.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

AWS Machine Learning Blog

DECEMBER 6, 2023

When answering a new question in real time, the input question is converted to an embedding, which is used to search for and extract the most similar chunks of documents using a similarity metric, such as cosine similarity, and an approximate nearest neighbors algorithm. The search precision can also be improved with metadata filtering.

SQL 115

SQL AWS Analytics Analytics 115

Flipboard

FEBRUARY 13, 2025

These are the best Stanford University courses you can take for free this month.

Database 146

Database SQL Computer Science Computer Science 146

Towards AI

SEPTEMBER 26, 2024

Fine-tuning LLMs for Natural Language to SQL Query Generation Using Synthetic Data: A Comprehensive Guide for Beginners by Anoop Maurya This article explores how to fine-tune LLMs to generate SQL queries from natural language inputs. Our must-read articles 1. Are Diffusion Models Really Superior to GANs on Image Super Resolution?

SQL 105

SQL AI AI Machine Learning 105

KDnuggets

OCTOBER 7, 2019

Choosing the Right Clustering Algorithm for your Dataset; DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks; A European Approach to Masters Degrees in Data Science; The Future of Analytics and Data Science. Also: How AI will transform healthcare (and can it fix the US healthcare system?);

Data Analysis 135

Data Analysis Data Analysis Data Science Clustering 135

Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. In addition, it’s also adapted to many other programming languages, such as Python or SQL.

Machine Learning 119

Machine Learning Machine Learning Algorithm K-nearest Neighbors 119

Data Science Dojo

MAY 10, 2023

They require strong programming skills, expertise in machine learning algorithms, and knowledge of data processing. Machine Learning Engineer Machine learning engineers are responsible for designing and building machine learning systems.

Data Science 366

Data Science Data Scientist Database Administration Machine Learning 366

Data Science Dojo

JULY 7, 2023

Data Science intertwines statistics, problem-solving, and programming to extract valuable insights from vast data sets. This discipline takes raw data, deciphers it, and turns it into a digestible format using various tools and algorithms. Tools such as Python, R, and SQL help to manipulate and analyze data.

Data Science 195

Data Science Data Scientist Python Decision Trees 195

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 153

Computer Science Computer Science ML ML 153

Data Science Dojo

AUGUST 27, 2024

Python, R, and SQL: These are the most popular programming languages for data science. Algorithms: Decision trees, random forests, logistic regression, and more are like different techniques a detective might use to solve a case. Python, R, and SQL: These are the most popular programming languages for data science.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Data Science Dojo

MAY 18, 2023

Getting Started with SQL Programming: Are you starting your journey in data science? Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning. If you’re new to SQL, this beginner-friendly tutorial is for you!

Data Science 195

Data Science AI AI SQL 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. Key Areas of Study Key areas of study within computer science include: Algorithms : Procedures or formulas for solving problems. Data Structures : Ways to organize, manage, and store data efficiently.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

JUNE 7, 2023

Data preparation entails organizing and cleaning the data, while data modeling involves creating predictive models using algorithms. A sound understanding of machine learning algorithms is also crucial for developing predictive models. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

Flipboard

DECEMBER 18, 2024

improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. In this approach, the query and document encodings are generated with the same embedding algorithm. In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5

K-nearest Neighbors 121

K-nearest Neighbors AWS ML ML 121

AWS Machine Learning Blog

FEBRUARY 13, 2025

However, to demonstrate how this system works, we use an algorithm designed to reduce the dimensionality of the embeddings, t-distributed Stochastic Neighbor Embedding (t-SNE) , so that we can view them in two dimensions. This is the k-nearest neighbor (k-NN) algorithm. The following figure illustrates how this works.

AWS 88

AWS K-nearest Neighbors Clustering Algorithm 88

Data Science Dojo

MARCH 7, 2023

Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL. SQL is a must-have for data scientists as it is a database language and allows them to extract data from databases and manipulate it easily.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Machine learning algorithms play a central role in building predictive models and enabling systems to learn from data. These tools enable professionals to turn raw data into digestible insights quickly.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Dataconomy

JULY 24, 2023

Concepts such as linear algebra, calculus, probability, and statistical theory are the backbone of many data science algorithms and techniques. Coding skills are essential for tasks such as data cleaning, analysis, visualization, and implementing machine learning algorithms. Work Works with larger, more complex data sets.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

AWS Machine Learning Blog

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. Your goal is to give correct, executable sql query to users.

SQL 111

SQL AWS Python ML 111

AWS Machine Learning Blog

OCTOBER 24, 2024

Basic knowledge of a SQL query editor. SageMaker Canvas integration with Amazon Redshift provides a unified environment for building and deploying machine learning models, allowing you to focus on creating value with your data rather than focusing on the technical details of building data pipelines or ML algorithms.

Data Warehouse 98

Data Warehouse Machine Learning Machine Learning Cloud Data 98

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. Where to start? Reinforcement.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

ODSC - Open Data Science

FEBRUARY 2, 2023

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

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

FEBRUARY 24, 2023

Algorithm-visualizer GitHub | Website Algorithm Visualizer is an interactive online platform that visualizes algorithms from code. The project was inspired by a group of coders looking to visualize what they’re working on, thus creating a tool that can show algorithms and descriptions of algorithms in real time.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Dataconomy

MAY 16, 2023

Their expertise lies in designing algorithms, optimizing models, and integrating them into real-world applications. They possess a deep understanding of machine learning algorithms, data structures, and programming languages.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.” How close are we to a “Holy Grail,” aka the Ultimate Machine Learning Algorithm?

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52