KDnuggets

DECEMBER 13, 2023

This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!

Data Science 254

Data Science Deep Learning Deep Learning SQL 254

KDnuggets

NOVEMBER 16, 2022

10 Cheat Sheets You Need To Ace Data Science Interview • 7 Free Platforms for Building a Strong Data Science Portfolio • The Complete Free PyTorch Course for Deep Learning • 3 Valuable Skills That Have Doubled My Income as a Data Scientist • 25 Advanced SQL Interview Questions for Data Scientists • A Data Science Portfolio That Will Land You The Job (..)

Data Science 269

Data Science Data Scientist Deep Learning Deep Learning 269

KDnuggets

JANUARY 8, 2020

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

Data Science 400

Data Science Data Scientist SQL Machine Learning 400

Towards AI

DECEMBER 21, 2024

Let me walk you through a typical workflow I followed back then: Data Collection & Cleaning: I relied heavily on Pandas and SQL for data cleaning, merging, and feature extraction. For deep learning, I used TensorFlow 1.x, In 2019, building a recommendation system involved a lot of manual coding and iteration.

Deep Learning 122

Deep Learning Deep Learning SQL AI 122

insideBIGDATA

MAY 13, 2023

FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code.

Data Scientist 430

Data Scientist Cloud Data SQL Data Science 430

Analytics Vidhya

DECEMBER 3, 2021

As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […]. Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases.

Data Science 355

Data Science Database Deep Learning Deep Learning 355

insideBIGDATA

MAY 2, 2023

The combination of ChatGPT's front-end interface that converts natural language to Structured Query Language (SQL), and Kinetica's analytic database purpose built for true ad-hoc querying at speed and scale, provides a more intuitive and interactive way of analyzing complex data sets.

Database 392

Database Analytics Analytics SQL 392

Flipboard

DECEMBER 8, 2023

The collection of super cheat sheets covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning.

Data Science 177

Data Science Deep Learning Deep Learning SQL 177

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. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

insideBIGDATA

SEPTEMBER 18, 2023

Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language.

SQL 244

SQL Data Analysis Data Analysis Analytics 244

Data Science Blog

MAY 22, 2023

Neben den relationalen Datenbanken (SQL) gibt es auch die NoSQL -Datenbanken wie den Key-Value-Store, Dokumenten- und Graph-Datenbanken mit recht speziellen Anwendungsgebieten. Vektordatenbanken können auch hochdimensionale Daten effizient verarbeiten , was in vielen modernen Anwendungen, wie zum Beispiel Deep Learning, wichtig ist.

Deep Learning 244

Deep Learning Deep Learning Natural Language Processing AI 244

insideBIGDATA

DECEMBER 25, 2023

Juan Sequeda, Principal Scientist at data.world, recently published a research paper, "A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases." He and his co-authors benchmarked LLM accuracy in answering questions over real business data.

SQL 244

SQL Database Big Data Big Data 244

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Finally, SQL’s window function. Let’s briefly dive into each bit.

SQL 98

SQL Data Scientist Database Data Science 98

Data Science Dojo

MAY 18, 2023

Vector Similarity Search: With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale. 6. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.

Data Science 195

Data Science AI AI SQL 195

AWS Machine Learning Blog

NOVEMBER 12, 2024

NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models. A user can ask a business- or industry-related question for ETFs.

SQL 102

SQL AWS AI AI 102

KDnuggets

AUGUST 21, 2019

Also: For data pros only - An SQL Query walks into a bar and sees two tables; Deep Learning for NLP: Creating a Chatbot with Keras!; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Wanting to be even more marketable as a data scientist?

Deep Learning 123

Deep Learning Deep Learning Data Scientist SQL 123

KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

Natural Language Processing 131

Natural Language Processing Deep Learning Deep Learning Data Analysis 131

KDnuggets

AUGUST 26, 2019

Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?

Data Scientist 126

Data Scientist Decision Trees Deep Learning Deep Learning 126

insideBIGDATA

JULY 16, 2023

Kinetica, the database for time & space, announced a totally free version of Kinetica Cloud where anyone can sign-up instantly without a credit card to experience Kinetica’s generative AI capabilities to analyze real-time data. No other analytic database offers this pricing model with free storage and compute, and no expiration date.

SQL 195

SQL Database AI AI 195

Data Science 101

AUGUST 31, 2019

The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on: Python Deep Learning SQL and more. Happy Learning.

Data Science 107

Data Science Deep Learning Deep Learning SQL 107

Data Science 101

FEBRUARY 29, 2020

Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2,

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

insideBIGDATA

JUNE 14, 2024

With simple natural language or SQL prompts, Gretel Navigator enables users to create, edit, and augment tabular data, and design realistic, high-quality test and training datasets from scratch. Developers can also leverage existing datasets to generate insight-rich synthetic data on demand.

SQL 188

SQL AI AI Big Data 188

Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. It is based upon this article: Preparing and curating your data for machine learning. It has a companion blog post: Deep Learning vs Machine Learning. Announcements.

Cloud Data 115

Cloud Data Data Science Machine Learning Machine Learning 115

Data Science 101

FEBRUARY 28, 2019

Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley.

Data Science 84

Data Science Deep Learning Deep Learning SQL 84

Data Science 101

FEBRUARY 15, 2020

Announcements around an exciting new open-source deep learning library, a new data challenge and more. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Welcome to Cloud Data Science 7. Also, Comprehend can be used for sentiment analysis.

Cloud Data 112

Cloud Data Data Science Deep Learning Deep Learning 112

ODSC - Open Data Science

FEBRUARY 13, 2023

These videos are a part of the ODSC/Microsoft AI learning journe y which includes videos, blogs, webinars, and more. How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

AWS Machine Learning Blog

FEBRUARY 12, 2025

For this post, we use a dataset called sql-create-context , which contains samples of natural language instructions, schema definitions and the corresponding SQL query. It contains 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL queries answering the question using the CREATE statement as context.

AWS 78

AWS AI SQL AI 78

ODSC - Open Data Science

MARCH 6, 2023

Deep learning is a fairly common sibling of machine learning, just going a bit more in-depth, so ML practitioners most often still work with deep learning. Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Smart Data Collective

JUNE 4, 2021

Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Ensembling.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. This Week Sentence Transformers txtai: AI-Powered Search Engine Fine-tuning Custom Datasets Data API Endpoint With SQL It’s LIT ? NLP library.

Deep Learning 98

Deep Learning Deep Learning SQL Natural Language Processing 98

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

DECEMBER 14, 2023

In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers. Load processed features for a specified date range using SQL from an Amazon Athena table, then train and deploy the job recommender model.

ETL 103

ETL AWS ML ML 103

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. Over the time, it will provides you the answer on your questions related to which tool to learn! Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

ODSC - Open Data Science

FEBRUARY 15, 2023

Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

ODSC - Open Data Science

FEBRUARY 2, 2023

While knowing Python, R, and SQL are expected, you’ll need to go beyond that. As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. This will lead to algorithm development for any machine or deep learning processes.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52