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Martin Roberts
𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭. International expert in building enterprise data strategies and innovative data products.
Dr. Martin Roberts is a seasoned data scientist and analytics expert with over 25 years of experience across government, commercial, and research sectors.
He has a proven track record of driving high-impact business transformations through the application of advanced data science and statistical knowledge in agile environments.
With a keen focus on bridging the gap between business needs, data, and computing, Dr. Roberts specializes in revolutionizing organizations through innovative yet practical data strategies and products.
Currently, Dr. Roberts holds key positions such as Principal Data Scientist for Energy, Food and Water at NEOM, Chief Data Scientist at Fossilytics, Principal Data Scientist at GOPASS Global, and Statistical expert consultant at PwC.
In past roles, he has contributed significantly to organizations like SAUDI ARABIA, Fossilytics Engineered Solutions, goPass Global, IFGICT, Australian Health Practitioner Regulation Agency, and more.
With a PhD in Physics and a Diploma of Education from the University of Tasmania, Dr. Roberts possesses expertise in scientific programming, data modeling, statistical analysis, data management, and machine learning.
He is also recognized for his educational contributions, being a qualified teacher actively involved in promoting STEM education and training mathematical Olympiad programs at state and national levels for over two decades.
Dr. Roberts is the author and inventor of cutting-edge graphical computing techniques and maintains a technical blog at www.extremelearning.com.au.
For inquiries, Dr. Roberts can be contacted at +61 401350509 or [email protected].
Highlights
🟢Free book: 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 (Brownlee) Excellent book by Brownlee, who is widely known and respected for his excellent online data science tutorials, guides and books.
To download this PDF, hover over the image, click the full-screen icon, and then click the download icon.
Source: Brownlee: https://lnkd.in/gDN-Tvjk
#artificialintelligence #ai #deeplearning #machinelearning #datascience
🟢 Follow me on LinkedIn: https://lnkd.in/gurh6ss2
🟡 Browse my feed 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗳𝗲𝗲𝗱: https://lnkd.in/fFpym45 for other great resources
🔴 Visit my blog "𝗘𝘅𝘁𝗿𝗲𝗺𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴" https://lnkd.in/g5d965kh.
Topics include:
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𝗧𝗵𝗲 𝘂𝗻𝗿𝗲𝗮𝘀𝗼𝗻𝗮𝗯𝗹𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗼𝗳 𝗾𝘂𝗮𝘀𝗶𝗿𝗮𝗻𝗱𝗼𝗺 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 https://lnkd.in/gfiG_Edx
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𝗔 𝗻𝗲𝘄 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗳𝗼𝗿 𝗺𝘂𝗹𝘁𝗶-𝗮𝗿𝗺𝗲𝗱 𝗯𝗮𝗻𝗱𝗶𝘁𝘀 https://lnkd.in/gCTnWFvb
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𝗛𝗼𝘄 𝘁𝗼 𝗲𝘃𝗲𝗻𝗹𝘆 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲 𝗽𝗼𝗶𝗻𝘁𝘀 𝗼𝗻 𝗮 𝘀𝗽𝗵𝗲𝗿𝗲 https://lnkd.in/gEu6HjxZ
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𝗛𝗼𝘄 𝘁𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝘂𝗻𝗶𝗳𝗼𝗿𝗺𝗹𝘆 𝗿𝗮𝗻𝗱𝗼𝗺 𝗽𝗼𝗶𝗻𝘁𝘀 𝗼𝗻 𝗵𝘆𝗽𝗲𝗿𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝘀𝗽𝗵𝗲𝗿𝗲 𝗮𝗻𝗱 𝗯𝗮𝗹𝗹𝘀 https://lnkd.in/gPmE5xMQ
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and many more! ;)
Enjoy! Martin
🟢 Course notes on: 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗠𝗲𝘁𝗵𝗼𝗱𝘀 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (LU) Lecture Notes by Vicente et al (2024), from Lehigh University
To download this PDF, hover over the image, click the full-screen icon, and then click the download icon.
Source: https://lnkd.in/gXmiAZXJ
#machinelearning #datascience
🟢 Follow me on LinkedIn: https://lnkd.in/gurh6ss2
🟡 Browse my feed 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗳𝗲𝗲𝗱: https://lnkd.in/fFpym45 for other great resources
🔴 Visit my blog "𝗘𝘅𝘁𝗿𝗲𝗺𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴" https://lnkd.in/g5d965kh.
Topics include:
-
𝗧𝗵𝗲 𝘂𝗻𝗿𝗲𝗮𝘀𝗼𝗻𝗮𝗯𝗹𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗼𝗳 𝗾𝘂𝗮𝘀𝗶𝗿𝗮𝗻𝗱𝗼𝗺 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 https://lnkd.in/gfiG_Edx
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𝗔 𝗻𝗲𝘄 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗳𝗼𝗿 𝗺𝘂𝗹𝘁𝗶-𝗮𝗿𝗺𝗲𝗱 𝗯𝗮𝗻𝗱𝗶𝘁𝘀 https://lnkd.in/gCTnWFvb
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𝗛𝗼𝘄 𝘁𝗼 𝗲𝘃𝗲𝗻𝗹𝘆 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲 𝗽𝗼𝗶𝗻𝘁𝘀 𝗼𝗻 𝗮 𝘀𝗽𝗵𝗲𝗿𝗲 https://lnkd.in/gEu6HjxZ
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𝗛𝗼𝘄 𝘁𝗼 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲 𝘂𝗻𝗶𝗳𝗼𝗿𝗺𝗹𝘆 𝗿𝗮𝗻𝗱𝗼𝗺 𝗽𝗼𝗶𝗻𝘁𝘀 𝗼𝗻 𝗵𝘆𝗽𝗲𝗿𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝘀𝗽𝗵𝗲𝗿𝗲 𝗮𝗻𝗱 𝗯𝗮𝗹𝗹𝘀 https://lnkd.in/gPmE5xMQ
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and many more! ;)
Enjoy! Martin
