Big DataNights - Data Scientist in the Real World #2 - Data Cleaning for ML
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DataNight -Data Scientist in the Real World #2: Data Cleaning for ML ✔
Our second DataNights meetup will be held online and will discuss various data cleaning techniques, where the cleaning's main focus is enabling the prediction and noise reduction from the data.
Shay, an independent data science consultant, will share from his personal experience and insights regarding practical data cleaning techniques, and how they relate to deeper questions in statistics and learning theory.
𝗕𝗶𝗼: Shay is an independent data science consultant. He co-founded and co-leads the DataHack non-profit, and likes open source Python and weasels.
𝗭𝗼𝗼𝗺 𝗹𝗶𝗻𝗸: https://us02web.zoom.us/j/89795032093
𝗔𝗴𝗲𝗻𝗱𝗮:
🔷 19:00 - Opening words
🔶 19:05 - 20:00 – Data Cleaning for ML: Shay Palachy, Data Science Consultant
🔴 20:00 - 20:15 – Questions
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How does a Data Science project work on real data? What are the difficulties of working with real world data and how to deal with them?
To answer all of those questions and more, we have opened a new ‘Big DataNights’ cohort especially for that!
In a series of meetings with professional data scientists from the industry, we will focus each time on a different topic from the real world work of Data Scientist, and learn how to deal with issues and difficulties that arise.
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2.9.2020 - Dan Ofer, Senior Data scientist - Feature Engineering 101
9.9.2020 - Shay Palachy, Data Science Consultant - Data Cleaning for ML
16.9.2020 - Asya Frumkin, Senior Algorithm developer - Mirror of Erised - How to See What You Desire in Your Data
23.9.2020 - Morit Zwang, Data Scientist at Endor - Model Evaluation and Problems Identification
30.9.2020 - Noa Weiss,AI & Machine Learning Consultant - Real-World Problems With Real-World Data
14.10.2020 - Yechiel Amsalem, Data Science Tech Lead at AT&T - It’s Your Loss - Custom Loss and Optimization
21.10.2020 - Nataly Kuritz, Data scientist at khealth - When Data Goes Wrong
28.10.2020 - Aviv Ben-Arie, Staff Data Scientist - When Nothing Seems To Work:
Rethinking Data Science Projects
4.11.2020 - Eyal Gruss, PHD, Machine Learning Researcher and New-Media Artist - What they don’t teach you in courses and you want to know
18.11.2020 - Eran Riva, Data Scientist at elminda Ltd - Proper Workflow - How to Keep Your Sanity
25.11.2020 - Etai Matza, Phd. Statistician & Psychologist - Statistics and the Human Mind
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