Haidar Altaie

Data Scientist at @SASSoftware | Eager learner | #AI #Analytics #ML #ComputerVision #SportsAnalytics | Blogs:

[Haidar Altaie @haaltaie]

@TheGoonerChris Can’t DM but interested!

[Arsenal @Arsenal]

It was only ever Arsenal.

A boyhood Gooner, our new number 10 – welcome home, Ebere ❤️

[Haidar Altaie @haaltaie]

@Arsenal

[Leyla Hamed @leylahamed]

As an Arsenal fan, I’m proud of Mark for standing by his values. Speaking up for justice should never cost someone their job. Thank you for your courage and integrity.

@Arsenal need to sort this out—this isn’t the club we believe in.

[Haidar Altaie @haaltaie]

@d7r7252 Do it

[Haidar Altaie @haaltaie]

@ArsenalBallots Nothing at all, even with constant refreshs....

[Who Is Hussain? London @wihlondon]

Who Is Hussain? London would like to make clear that we are proud to serve the people of Britain, twice a week, every week, and we will not be going anywhere.

#ServingHumanity #WIHLondon

[Haidar Altaie @haaltaie]

@elinhoNED @nocontextfooty I’m watching

[Haidar Altaie @haaltaie]

October Newsletter - One year in Acton: https://t.co/S6kzFteGMJ

[Third Sector Events @THISectorEvents]

Congratulations to @WhoIsHussain the WINNERS in the Big Impact Award category at the 2023 #ThirdSectorAwards!

@ThirdSector

[Dan @danmurrays]

ChatGPT's got new 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻

𝗕𝗮𝗿𝗱 by Google.

It's free to use and has 10X more features.

Here are 7 incredible things Bard can do (that ChatGPT cannot)

[Haidar Altaie @haaltaie]

Ramadan Mubarak 🤲🏼

[Haidar Altaie @haaltaie]

A2: Traditionally speaking, the process of manipulating, analysing, and visualising data, building and training machine learning models was a code heavy exercise - although this has reduced, it is still applicable for many today #DataScience #SASChat

[SAS Forums @sasforums]

Q2: Why have many #datascientists found themselves writing code? #DataScience #SASChat

[Haidar Altaie @haaltaie]

A1: The beautiful thing about being a Data Scientist is that no day is the same. If I had to summarise, A workday for a data scientist might involve exploring & cleaning data, developing & testing models, communicating results, collaborating and learning. #SASForum #DataScience

[SAS Forums @sasforums]

Q1: What is the ideal work composition of a typical day for #datascientists? #DataScience #SASchat

[Haidar Altaie @haaltaie]

@sasforums Looking forward to todays #SASChat discussing the many hats of #DataScience

[SAS Forums @sasforums]

Meet the panel for our #SASchat live tomorrow at 3pm CET. Join this panel to explore how data scientists can improve their days towards more discovery. #DataScience #DataScientists https://t.co/bzPFKqRB9H

[Sebastian Raschka @rasbt]

Why do latest language transformers (LLMs like ChatGPT etc.) use reinforcement learning (RL) for finetuning instead of regular supervised learning (SL)?

There are at least 5 reasons ...
[1/10]

[Haidar Altaie @haaltaie]

A4: Obviously the C-Suit (especially CDOs) & Directors must be involved, but it's always important to hear the perspective of the end users, who will ultimately be driving and delivering the #analyticsadoption #SASChat

[SAS Forums @sasforums]

Q4: Who should be involved in an organization's #analyticsadoption strategy? #SASchat

[Haidar Altaie @haaltaie]

A3: Innovation is always the most exciting aspect in such an exciting industry, but it's important not to skip steps and do the basics right, especially in this economical landscape - build the foundations right prior to innovation #SASChat

[SAS Forums @sasforums]

Q3: How can organizations balance a desire for innovation with constrained budgets and resources? #SASchat #AnalyticsAdoption

[Haidar Altaie @haaltaie]

A2: Certainly seeing this, it's quite funny that a couple of years ago, cloud was the answer to any questions - nowadays we're seeing more and more people seeing the benefits of on-prem! Hybrid always seems like the most sensible approach for most use cases #SASChat

[Yves Mulkers @YvesMulkers]

@haaltaie Hybrid is the way to go, and especially in Europe there is tendency towards on-prem again. Due to a lot of Opex / Capex discussions
#SASchat