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

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

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 Science 98

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

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

MARCH 2, 2023

Well, the thing is AI allows for advanced techniques to analyze data and make sophisticated predictions based on data. AI algorithms are the foundation of machine learning, deep learning, and NLP  — all fields that are currently revolutionization our technological landscape.

Data Science 52

Data Science SQL Deep Learning Deep 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

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

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

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

Dataconomy

MAY 16, 2023

Mathematical and statistical knowledge: A solid foundation in mathematical concepts, linear algebra, calculus, and statistics is necessary to understand the underlying principles of machine learning algorithms.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

Pickl AI

AUGUST 21, 2023

Concepts like probability, hypothesis testing, and regression analysis empower you to extract meaningful insights and draw accurate conclusions from data. Step 3: Dive into Machine Learning and Deep Learning Master the realm of machine learning algorithms, from linear regression to neural networks.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Gain hands-on experience in implementing algorithms and working with AI frameworks such as TensorFlow , PyTorch, or scikit-learn. Learn Machine Learning and Deep Learning Deepen your understanding of machine learning algorithms, statistical modelling, and deep learning architectures.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

JUNE 21, 2023

Following are the technical and non-technical skills you require to become a Data Scientist: Technical Skills Statistical analysis and computing Machine Learning Deep Learning Processing large data sets Data Visualization Data Wrangling Mathematics Programming Statistics Big Data Non-Technical Skills Strong business Acumen Excellent (..)

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 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

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

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. What is the Central Limit Theorem, and why is it important in statistics?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Learn data manipulation and analysis: Familiarize yourself with tools and techniques for data manipulation, exploration, and analysis. Common libraries in Python, such as pandas and NumPy, are essential for data cleaning, preprocessing, and transformation.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

ODSC - Open Data Science

JANUARY 29, 2024

Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn. 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

JULY 20, 2023

Here are some project ideas suitable for students interested in big data analytics with Python: 1. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Analyzing Large Datasets: Choose a large dataset from public sources (e.g.,

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

SEPTEMBER 12, 2024

D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Heartbeat

DECEMBER 27, 2023

Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. ', port = port) Our flask app — app.py We pay our contributors, and we don’t sell ads.

Machine Learning 52

Machine Learning Machine Learning Python ML 52

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

ODSC - Open Data Science

MARCH 18, 2025

Jon Krohn, Host of the SuperDataScience Podcast Jon Krohn is a leading voice in data science as the host of SuperDataScience, the industrys most-listened-to podcast. A prolific researcher with over 20 published papers, 1,000+ citations, and 20 patents, his expertise spans deep learning, interpretability, and sports analytics.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52