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(Full Panel Discussion): Quantum Computing For Business Leaders & Tech Professionals
Explore the future of computing with two leading quantum experts, Matthew Versaggi and Carl Dukatz.
During this conversation, you’ll learn:
- The unprecedented capabilities of quantum systems
- Key terminology and real-life use cases of quantum computing
- How business leaders & tech professionals should think about quantum computing
- Live Q&A, where Matthew and Carl will answer burning questions from attendees
There’s cutting edge, and then there’s quantum. If you’re ready to learn the ins and outs of tech’s next big thing, be sure to watch the full video today.
Like what you learned? Check out Matthew Versaggi’s new course, Discovering Quantum Computing: bit.ly/3Y8H0E4
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zhlédnutí: 464

Video

The History of Product Management
zhlédnutí 523Před měsícem
This video is an excerpt taken from our Product Manager Nanodegree program - where you’ll learn foundational skills all product managers use in leading the development of software products, whether mobile apps, desktop apps, or web platforms for consumers or enterprises: bit.ly/3VHGryy In this video, Udacity instructor & Google Product Manager, Alex King, discusses the history of product manage...
How Do Experts Think About Data Cleaning?
zhlédnutí 458Před měsícem
This video is an excerpt taken from our Data Analyst Nanodegree program - where you’ll learn how to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings: bit.ly/3Rz0aiF In this video, Udacity instructor Ria Cheruvu uncovers how experts think about data cleaning. If you like what you learned, check out the rest of the ...
Assess Data Quality Programmatically
zhlédnutí 388Před měsícem
This video is an excerpt taken from our Data Analyst Nanodegree program - where you’ll learn how to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings: bit.ly/3Rz0aiF In this video, we discover how to assess data quality programmatically. If you like what you learned, check out the rest of the course (linked above),...
Common Data Wrangling Misconceptions
zhlédnutí 1KPřed měsícem
This video is an excerpt taken from our Data Analyst Nanodegree program - where you’ll learn how to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings: bit.ly/3Rz0aiF In this video, we uncover common data wrangling misconceptions. If you like what you learned, check out the rest of the course (linked above), which c...
The Founder of C++ On How Long It Takes To Learn The Language
zhlédnutí 48KPřed měsícem
This video is an excerpt taken from our C Nanodegree program, where you’ll learn a high-performance programming language used in some of the world's most exciting engineering jobs - from self-driving cars and robotics to web browsers, media platforms, servers, and video games: bit.ly/3VNLUUz Software development icon & Udacity instructor, Bjarne Stroustrup, explains how long it takes to learn C...
Bjarne Stroustrup (C++ Founder) On How To Become More Proficient at C++
zhlédnutí 921Před měsícem
This video is an excerpt taken from our C Nanodegree program, where you’ll learn a high-performance programming language used in some of the world's most exciting engineering jobs - from self-driving cars and robotics to web browsers, media platforms, servers, and video games: bit.ly/3VNLUUz Software development icon & Udacity instructor, Bjarne Stroustrup, explains how to become a better C pro...
Sebastian Thrun On Motion Planning For Robotics
zhlédnutí 300Před měsícem
This video is an excerpt taken from our C Nanodegree program, where you’ll learn a high-performance programming language used in some of the world's most exciting engineering jobs - from self-driving cars and robotics to web browsers, media platforms, servers, and video games: bit.ly/3VNLUUz Udacity founder & AI/ML (artificial intelligence & machine learning) pioneer, Sebastian Thrun, explains ...
Bjarne Stroustrup (Creator of C++) On The Advantages & Disadvantages of Compiled Languages
zhlédnutí 1,2KPřed měsícem
This video is an excerpt taken from our C Nanodegree program, where you’ll learn a high-performance programming language used in some of the world's most exciting engineering jobs - from self-driving cars and robotics to web browsers, media platforms, servers, and video games: bit.ly/3VNLUUz Software development icon & Udacity instructor, Bjarne Stroustrup, explains the advantages and disadvant...
Overplotting, Transparency, and Jitter (AI Programming with Python)
zhlédnutí 268Před měsícem
This video is an excerpt taken from our Nanodegree program, AI Programming with Python, where you’ll learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra-the foundations for building your own neural network: bit.ly/3Xpm5MN Udacity instructor, Mike Yi, explains overplotting, transparency, and jitter. If you like what you learned, check out the rest of the course (linked above), w...
What are Jupyter Notebooks? (AI Programming with Python)
zhlédnutí 311Před měsícem
This video is an excerpt taken from our Nanodegree program, AI Programming with Python, where you’ll learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra-the foundations for building your own neural network: bit.ly/3Xpm5MN Udacity instructor, Andrew Paster, gives an introduction to Jupyter notebooks. If you like what you learned, check out the rest of the course (linked above), ...
Procedural vs Object Oriented Programming (AI Programming with Python)
zhlédnutí 424Před měsícem
This video is an excerpt taken from our Nanodegree program, AI Programming with Python, where you’ll learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra-the foundations for building your own neural network: bit.ly/3Xpm5MN Udacity instructor, Andrew Paster, gives an introduction to procedural versus object-oriented programming (OOP). If you like what you learned, check out the r...
Boolean Expressions for Conditions (AI Programming with Python)
zhlédnutí 367Před měsícem
This video is an excerpt taken from our Nanodegree program, AI Programming with Python, where you’ll learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra-the foundations for building your own neural network: bit.ly/3Xpm5MN Udacity instructor, Juno Lee, explains boolean expressions for conditions. If you like what you learned, check out the rest of the course (linked above), whic...
Data Types & Operators: Strings (AI Programming with Python)
zhlédnutí 346Před měsícem
This video is an excerpt taken from our Nanodegree program, AI Programming with Python, where you’ll learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra-the foundations for building your own neural network: bit.ly/3Xpm5MN Udacity instructor, Juno Lee, gives an introduction to strings when it comes to data types and operators. If you like what you learned, check out the rest of ...
Denormalization in Apache Cassandra Explained (Data Engineering with AWS)
zhlédnutí 281Před měsícem
This video is an excerpt taken from our Nanodegree program, Data Engineering with AWS (Amazon Web Services): bit.ly/3VLeHdC Udacity instructor, Amanda Moran, explains denormalization in Apache Cassandra. If you like what you learned, check out the rest of the course (linked above), which covers more about this topic. Connect with us on social! 🌐 Instagram: udacity LinkedIn: www.l...
Explaining The CAP Theorem (Data Engineering with AWS)
zhlédnutí 276Před měsícem
Explaining The CAP Theorem (Data Engineering with AWS)
When Not To Use a NoSql Database (Data Engineering with AWS)
zhlédnutí 370Před měsícem
When Not To Use a NoSql Database (Data Engineering with AWS)
When To Use A Relational Database (Data Engineering with AWS)
zhlédnutí 436Před měsícem
When To Use A Relational Database (Data Engineering with AWS)
Real-life Applications: AI-Generated Images
zhlédnutí 326Před měsícem
Real-life Applications: AI-Generated Images
LLMs and How They Work: The Advantage of the Transformer Architecture
zhlédnutí 229Před měsícem
LLMs and How They Work: The Advantage of the Transformer Architecture
How Generative AI Systems Work: Deep Learning and Reinforcement Learning
zhlédnutí 200Před měsícem
How Generative AI Systems Work: Deep Learning and Reinforcement Learning
Unlocking Blockchain: How To Become A Blockchain Developer in 2024 (Full Webinar)
zhlédnutí 1,1KPřed měsícem
Unlocking Blockchain: How To Become A Blockchain Developer in 2024 (Full Webinar)
What are Udacity Scholarships?
zhlédnutí 1,1KPřed 2 měsíci
What are Udacity Scholarships?
(Full Webinar) Let's Talk Ethics In AI: Panel Discussion with AI Experts
zhlédnutí 859Před 3 měsíci
(Full Webinar) Let's Talk Ethics In AI: Panel Discussion with AI Experts
From Airport Worker To Frontend Developer: OneTen/BIT Scholarship Recipient & Udacity Graduate
zhlédnutí 891Před 3 měsíci
From Airport Worker To Frontend Developer: OneTen/BIT Scholarship Recipient & Udacity Graduate
Introduction to LLMs: Encoder Vs Decoder Models
zhlédnutí 2,5KPřed 3 měsíci
Introduction to LLMs: Encoder Vs Decoder Models
How To Query A Digital Music Store Database | Udacity Project Walkthrough
zhlédnutí 590Před 4 měsíci
How To Query A Digital Music Store Database | Udacity Project Walkthrough
Self Driving Car Engineer 101: Detecting Objects In Urban Environments | Udacity Project Walkthrough
zhlédnutí 324Před 4 měsíci
Self Driving Car Engineer 101: Detecting Objects In Urban Environments | Udacity Project Walkthrough
Generate New Faces Using GANs | Udacity Project Walkthrough
zhlédnutí 358Před 4 měsíci
Generate New Faces Using GANs | Udacity Project Walkthrough
How To Use SQL To Decrease The Impact of Deforestation | Udacity Project Walkthrough
zhlédnutí 250Před 4 měsíci
How To Use SQL To Decrease The Impact of Deforestation | Udacity Project Walkthrough

Komentáře

  • @jundimohammed1813
    @jundimohammed1813 Před 10 hodinami

    Brilliant Presentation

  • @jesusreyes2525
    @jesusreyes2525 Před dnem

    Thanks

  • @SanskritRu
    @SanskritRu Před dnem

    OMG. This is such a good series

  • @214GNR
    @214GNR Před dnem

    Uh...., the real-world scenario?

  • @GamingMlbb-q2f
    @GamingMlbb-q2f Před dnem

    This is good.

  • @user-gd9zt1lw4w
    @user-gd9zt1lw4w Před 2 dny

    I am from Ethiopian 🇪🇹 🤝👇

  • @r.y.z.
    @r.y.z. Před 3 dny

    why is each video so short?

  • @rimmisuman9594
    @rimmisuman9594 Před 3 dny

    Fake. Because groovy dont exist he's has power to play roblox

  • @Chris-nq3ri
    @Chris-nq3ri Před 3 dny

    No comprende speedup enhancement and how to calculate sir?? Ty

  • @AdventureCJ
    @AdventureCJ Před 4 dny

    I'm here because I want to make my own encryption so I can write open diaries

  • @Wawan_ae
    @Wawan_ae Před 4 dny

    smkn 3 kuala kapuas 10 tkj e2

  • @shirleyhd9515
    @shirleyhd9515 Před 4 dny

    I’m not that good at explaining, as I’m just learning these stuff, but I will be explaining how to solve this. We first cross multiply, resulting in 36x=15. Next we need to isolate the variable, X. We can do this by dividing both sides by 36, as the opposite of the multiplication between 36 and X is division. 36 cancels out 36 leaving only X, and 15/36 is simplified into 5/12. Therefore, X is 5/12.

  • @bharadwaj767
    @bharadwaj767 Před 4 dny

    Snooping seems interesting 😀

  • @desekrt0r
    @desekrt0r Před 4 dny

    thank you for your great explanation

  • @bharadwaj767
    @bharadwaj767 Před 4 dny

    Woah! what a great critical analysis🤯 I should be focusing on this aspect of my learning journey, Critical thinking :)

  • @max_nadolny
    @max_nadolny Před 4 dny

    Sometimes after running particle filter I get large error like 30. How it can be fixed?

  • @thewatcher9480
    @thewatcher9480 Před 4 dny

    explained everything is such short time. Thanks brother

  • @instanttherapy
    @instanttherapy Před 5 dny

    I'm a psychologist who also studied Neuroscience in college and these videos even though they're nine years old have refreshed my memory. Thank you.

  • @zulfikarm.t7006
    @zulfikarm.t7006 Před 6 dny

    Thanks

  • @bryanlee3197
    @bryanlee3197 Před 6 dny

    i tried this course and i encourage not to especially the camera section. The lecturer is just reading the ppt. Just read a book instead

  • @Herobrine37440
    @Herobrine37440 Před 7 dny

    fourms are down :(

  • @bharadwaj767
    @bharadwaj767 Před 8 dny

    Memory part done ✅ Little confusion on RAID-5 WRITE performance though 🙂.

  • @bakunasa1025
    @bakunasa1025 Před 8 dny

    Who's here after watcing Changli's resonator showcase?

  • @Hariiissshhh
    @Hariiissshhh Před 8 dny

    Is this the georgia tech that aktah khan keeps talking about

  • @Dorothy___35m
    @Dorothy___35m Před 9 dny

    Tune into an exclusive interview with Binance's CEO for a sneak peek into future developments

  • @bharadwaj767
    @bharadwaj767 Před 9 dny

    how much we can depend on data from a specific part of MEM (it reflects the correctness of DATA)?

  • @bharadwaj767
    @bharadwaj767 Před 9 dny

    what happens when these storage elements fail & how could we mitigate that... Interesting!

  • @bharadwaj767
    @bharadwaj767 Před 9 dny

    here I got know the need for protocols/standardization

  • @ThePeterDislikeShow

    Why doesn't the compiler do this for us?

  • @bharadwaj767
    @bharadwaj767 Před 9 dny

    make a cat happy!? haha Prof. Milos Prvulovic 🙌

  • @bharadwaj767
    @bharadwaj767 Před 9 dny

    excited to know about these storage elements till now, I have been seeing hard disks, CDs, magnetic tapes in audio player etc. but never knew how they'd work

  • @Jeff_5x
    @Jeff_5x Před 10 dny

    What's on the horizon? Exclusive interview with Binance's CEO reveals future insights

  • @Dorothy__f87
    @Dorothy__f87 Před 10 dny

    The future revealed: exclusive interview with Binance's CEO

  • @marcusstenberg1452
    @marcusstenberg1452 Před 10 dny

    Entering the video with tons of stuff is hard to comprehend. I think it would be better to just do the work as you go

  • @bharadwaj767
    @bharadwaj767 Před 10 dny

    AMAT = 3.1 70% from DM (0.7*1) 20% if a miss way-prediction (0.2*2) refer 2:49 miss rate 10% (0.1*20)

  • @pranuanu5142
    @pranuanu5142 Před 11 dny

    Bro juz said it in secs😮n tmrw is my exam😅

  • @rogerarnold6248
    @rogerarnold6248 Před 11 dny

    Great series

  • @ieatcrayons3322
    @ieatcrayons3322 Před 11 dny

    ty bro