ODSC - Open Data Science

MARCH 3, 2023

There are some people in deep learning today who say you can do anything with backpropagation. I have this ongoing discussion with one person who says gradient descent is the only thing you need for deep learning. There are people at one end of the spectrum who say that paradigm is all you need.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Science 52

ODSC - Open Data Science

AUGUST 17, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

FEBRUARY 15, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC East’s training sessions, workshops, and talks.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

ODSC - Open Data Science

MARCH 20, 2023

Day 0: Monday, May 8th Day 0 of ODSC East 2023 will be exclusive to Mini-Bootcamp and VIP pass holders, and will be a virtual-only day comprising the first bootcamp sessions of the week.

Data Science 98

Data Science Data Wrangling Python Deep Learning 98

ODSC - Open Data Science

APRIL 6, 2023

Here are a few sessions that you can check out soon: March 2, 2023: ODSC East Bootcamp Warmup: Data Primer Course —  now available on-demand!

SQL 98

SQL Data Scientist Database Data Analysis 98

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

FEBRUARY 2, 2023

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

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 18, 2023

Transitioning to data science provides an opportunity for continuous learning and professional growth, as you can stay up-to-date with the latest advancements in data analysis, machine learning, and artificial intelligence.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

ODSC - Open Data Science

APRIL 20, 2023

Access a full range of industry-focused data science topics from machine learning/deep pearling, to NLP, popular frameworks, tools, programming languages, data wrangling, and all the skills you need to know. It’s a free event that no data pro should miss!

Data Science 52

Data Science Machine Learning Machine Learning Data Wrangling 52

ODSC - Open Data Science

JANUARY 29, 2024

We also examined the results to gain a deeper understanding of why these prompt engineering skills and platforms are in demand for the role of Prompt Engineer, not to mention machine learning and data science roles. This versatility allows prompt engineers to adapt it to different projects and needs.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Dataconomy

MAY 16, 2023

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Heartbeat

DECEMBER 27, 2023

Why Use Docker for Machine Learning? The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). This Linux VM plugs into the Host OS and gives containers access to file systems and networking resources. ', port = port) Our flask app — app.py

Machine Learning 52

Machine Learning Machine Learning Python ML 52