Data Science Dojo

JULY 3, 2024

Data Visualization : Techniques and tools to create visual representations of data to communicate insights effectively. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning.

Data Science 195

Data Science Machine Learning Machine Learning Data Visualization 195

Dataconomy

AUGUST 22, 2024

I led several projects that dramatically advanced the company’s technological capabilities: Real-time Video Analytics for Security: We developed an advanced system integrating deep learning algorithms with existing CCTV infrastructure. A key challenge was mapping drone inspection detections to real-world maps.

ML 91

ML ML Machine Learning Machine Learning 91

phData

JULY 5, 2024

The release of ChatGPT in late 2022 introduced generative artificial intelligence to the general public and triggered a new wave of AI-oriented companies, products, and open-source projects that provide tools and frameworks to enable enterprise AI.

AI 52

AI AI Database AWS 52

phData

JANUARY 31, 2024

Python has long been the favorite programming language of data scientists. Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

AWS Machine Learning Blog

OCTOBER 24, 2024

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 110

Data Warehouse Machine Learning Machine Learning Cloud Data 110

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. Filter down to keep the revenues of 2022 for each of them.

SQL 125

SQL AWS Analytics Analytics 125

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Doing so allows easy demonstration of compliance and reduces exposure to possible audits, fines and reputational damage. Learn more about IBM watsonx 1.

AI 101

AI AI Data Scientist Data Governance 101

DataRobot Blog

DECEMBER 1, 2022

Ingest your data and DataRobot will use all these data points to train a model—and once it is deployed, your marketing team will be able to get a prediction to know if a customer is likely to redeem a coupon or not and why. Ultimately, only the best algorithms that solve specific problems will survive. AI Experience 2022.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

Data Science 75

Data Science Machine Learning Machine Learning ML 75

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In order to train transformer models on internet-scale data, huge quantities of PBAs were needed. In November 2022, ChatGPT was released, a large language model (LLM) that used the transformer architecture, and is widely credited with starting the current generative AI boom. The following figure illustrates the Neuron software stack.

AWS 98

AWS ML ML Clustering 98

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Machine Learning Machine Learning 52

The MLOps Blog

DECEMBER 7, 2022

2022 will be remembered as a defining year for the crypto ecosystem. And that includes data. Given that the whole theory of machine learning assumes today will behave at least somewhat like yesterday, what can algorithms and models do for you in such a chaotic context ? With that out of the way, let’s dig in!

ML 52

ML ML AWS ETL 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

Iguazio

OCTOBER 20, 2024

In 2022, “AI everywhere” has enabled zero marginal cost of content generation. This starts from data wrangling and constructing data pipelines all the way to monitoring models and conducting risk reviews using "policy as code". Finally, the LLM answers questions about payment methods.

AI 52

AI AI Database Data Wrangling 52

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. It has been lightly edited for reading clarity.

Data Quality 52

Data Quality AI AI ML 52

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. It has been lightly edited for reading clarity.

Data Quality 52

Data Quality AI AI ML 52

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. It has been lightly edited for reading clarity.

Data Quality 52

Data Quality AI AI ML 52

phData

JUNE 7, 2023

Modern AI, on the other hand, is built on machine learning and artificial neural networks – algorithms that can learn their behavior from examples in data. As computational power increased and data became more abundant, AI evolved to encompass machine learning and data analytics.

AI 59

AI AI Natural Language Processing Machine Learning 59

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

The MLOps Blog

MAY 9, 2023

Elements of a machine learning pipeline Some pipelines will provide high-level abstractions for these components through three elements: Transformer : an algorithm able to transform one dataset into another. Estimator : an algorithm trained on a dataset to produce a transformer. Data preprocessing. Model scoring.

ML 98

ML ML Machine Learning Machine Learning 98

The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. . Model registry.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. An influential March 2022 paper from Deepmind demonstrated that training smaller models on more data yields better performance than training larger models on fewer data.

AI 126

AI AI Artificial Intelligence Artificial Intelligence 126