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Getting to know Adeola Ogunkola Why did you join the data science community? My name is Adeola Ogunkola from Lagos Nigeria, a tech advocate/savvy individual. The reason why I joined the data science community is to learn and gain extensive knowledge from IBM and the community...
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Although Black History should be celebrated year-round, we do acknowledge that Black History Month is a great time to recognize outstanding accomplishments from our Black community. For the month of February, we will be featuring articles on our IBM Data Science in Practice Medium blog ...
Today’s top performing enterprises are achieving growth and revenue goals by being data driven and s u ccessfully adopting AI and ML technologies. While most organizations see the value in AI , developing organizational trust in the underlying data, models and process can be daunting....
We hope the new year finds you all well. Thanks to the over 400 people who participated in last month's Data Science Community Meetup: Language Models in Plain English with O'Reilly Technology Report authors and IBM Data Scientists, Austin Eovito and Marina Danilevsky. You can find the replay...
November was extremely busy for the Data Science Community, as we participated in IBM Community's annual user group event. Three years ago, the event was a one-day, multi-track event; last year we upped it to 2-days; and this year went all out with a five-day IBM Community Festival . Thank...
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This email landed in my inbox this morning, wanted to share with all of you here: Hi Data Do-Gooders! We’re looking for dedicated volunteers to lead and work on two exciting volunteer opportunities: our DataCorps® projects and our Scoping Squad! If you’re receiving this email, it’s...
Data Femme's Season Two podcast finale raises the question of whether or not we can or even should trust machines alongside us. IBM's data wiz @Sepideh Seifzadeh will shower you with new perspectives on learning #datascience , #mentorship and more. Listen to her podcast ...
The IBM Data Science Community team has been working hard to source and create informative content and learning opportunities for our over 25K members. Our tiny team ( @Tim Bonnemann , @Kiefer Hackney , @Jana Thompson and myself) has surveyed the community, monitored discussion threads,...
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Time series data are very common observation results in nearly all kinds of business fields, they sometimes imply valuable patterns, can provide insights for business adjustment and optimization. Time series analysis and forecasting will release the fog of future while based on solid statistical...
The IBM Data Science Community team is excited to have added DataKind to our list of data science ecosystem partners this year. The first of two events we will be sponsoring is set to take place later this week. There are still a few seats available. Check out the invitation below: Join...