Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Graduated as a Data Science Master’s Student from Kent State University Worked as a Senior Business Data Analyst for 6 + years in India Took a decision after that to do masters in Data Science field to have a career as Data Scientist in USA 6 years Data work...

509,948 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von closed
closedvor 2 Jahren

@KentState HUGE W @raju_innocentev 👏 Congratulations bhai for achieving such milestones 🎊 I might go abroad next year, and these all gives me hope for a better life. Cheers 🍻

Profilbild von INNOCENT EVIL 😈
INNOCENT EVIL 😈vor 2 Jahren

@KentState Cheers brother I wish you all the best

Profilbild von THORATT FP
THORATT FPvor 2 Jahren

@KentState Independently machate rho bhai 🏆 Haters ko justification Dena band krdo, you're doing perfect in your life 🧬

Profilbild von ϻΔƴΔηK☄ᵂʰᵒˡᵉ ᴴᵉᵃʳᵗᵉᵈˡʸ𝕩
ϻΔƴΔηK☄ᵂʰᵒˡᵉ ᴴᵉᵃʳᵗᵉᵈˡʸ𝕩vor 2 Jahren

@KentState Wow Raju Bhai 🔥

Profilbild von Irshad Khan
Irshad Khanvor 2 Jahren

@KentState Congratulations 🎉

Profilbild von Zish
Zishvor 2 Jahren

@KentState 💫🫡

Profilbild von MEMAX
MEMAXvor 2 Jahren

@KentState Both hard Bhai Keep growing ♥️

Profilbild von MΞSSУGIЯL✨ (Dil Tuts Era)
MΞSSУGIЯL✨ (Dil Tuts Era)vor 2 Jahren

@KentState Woww Congratulations Raju 🥳 Even my dream is to become a Data scientist 😃

Profilbild von INNOCENT EVIL 😈
INNOCENT EVIL 😈vor 2 Jahren

@KentState You will surely become Zara ❤️

Profilbild von Jessi
Jessivor 2 Jahren

@KentState Still Debating With Chappri's !! Huge Respect 🫡

Ähnliche Videos

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

84,686 Aufrufe • vor 1 Jahr

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,297 Aufrufe • vor 7 Monaten