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Need some advice here.I am a fullstack developer with 5 yoe in Angular and Python.My aim is to crack FAANG companies.Now I got an offer from HSBC in a credit risk model monitoring role using Python.It is close to a data engineer role.
My question is that will it be a good idea to shift from development role to a model monitoring role if I want to move to FAANG in the future even for an ML role?Or does FAANG not prefer people who are not in core development roles?Amazon Google Microsoft Adobe Citi Barclays Bank of America
PwC Advisory or EY FSO for M level role?
Does barclays provide any diwali bonus ?
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Every time I do a separate statement
9 𝐃𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞
Many #machinelearning algorithms, whether supervised or unsupervised, make use of distance measures.
Take k-NN for example, a technique often used for supervised learning. As a default, it often uses euclidean distance.
By itself, a great distance measure.
Knowing when to use which distance measure can help you go from a poor classifier to an accurate model.
Study: https://towardsdatascience.com/9-distance-measures-in-data-science-918109d069fa
Nvidia hold or sell?
Additional Posts in Data Engineering
Hello everyone, I am Data Engineer with skills on Azure and am holding couple of offers KPMG Digital Lighthouse as Consultant : 12.5 LPA fixed +20% variable +1.25L bonus Tiger Analytics as SE : 14.5 fixed YOE : 4.1 years Can you please help me with which is better in terms of growth and WLB with your insights ? Tata Consultancy KPMG KPMG KPMG India Tiger Analytics
Hello
Can I pl get help in SQL
Thank you
Hi Guys, Currently I am working as a Teradata Developer. And I want to go for the data engineering role for my next switch. Could you please let me know the steps that I could follow to learn new skills for data engineering role. Publicis Sapient Nagarro Amazon IBM Deloitte Cognizant Teradata Paytm EPAM Systems
Larsen & Toubro Infotech Which is the most common questions you ask/get asked in data engineering interview?Accenture Tata Consultancy Newco Deloitte Infosys Fractal Adobe Capgemini Cognizant Impetus technologies inc GSK Visa EY Wipro Walmart HCL Technologies Publicis Sapient PwC Citi Larsen & Toubro Infotech Mindtree Microsoft Nagarro Boston Consulting Group Virtusa VMware ZS Associates JPMorgan Chase GlobalLogic Goldman Sachs Fiserv, Inc Deloitte USI Amazon Oracle IBM ITC Infotech
Hi everyone, I am 4.9 years experienced , I joined Fractal 3 months ago as a data engineer, but still haven't got any project. Process is so slow that I have received only 4 to 5 project calls. I switched in hopes that will learn the new tech and tools. But now i am starting to forget even the one i knew. Should i go for change or wait a little more time as fractal is reputed in AI/ML? I have interview lined up with Impetus as for now. Would it be better choice?
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