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Udacity
United States
Registrace 2. 02. 2012
Udacity is your destination for building in-demand skills for the careers of today and tomorrow. Our curriculum is co-created with the world’s most innovative tech companies and taught by industry leaders, and our real-world projects and personalized feedback ensure mastery of skills that are truly job-ready. Whether you're looking to switch careers, get a promotion, impress on your next project, or stay current on trending tech, Udacity is here to help. Access our entire best-in-class with a single subscription today! Udacity is now part of Accenture.
(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
---
Connect with us on social!
Instagram: udacity
LinkedIn: www.linkedin.com/school/udacity/
Facebook: Udacity/
X/Twitter: udacity
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
---
Connect with us on social!
Instagram: udacity
LinkedIn: www.linkedin.com/school/udacity/
Facebook: Udacity/
X/Twitter: udacity
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)
(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
Brilliant Presentation
Thanks
OMG. This is such a good series
Uh...., the real-world scenario?
This is good.
I am from Ethiopian 🇪🇹 🤝👇
why is each video so short?
Fake. Because groovy dont exist he's has power to play roblox
No comprende speedup enhancement and how to calculate sir?? Ty
I'm here because I want to make my own encryption so I can write open diaries
smkn 3 kuala kapuas 10 tkj e2
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.
Snooping seems interesting 😀
thank you for your great explanation
Woah! what a great critical analysis🤯 I should be focusing on this aspect of my learning journey, Critical thinking :)
Sometimes after running particle filter I get large error like 30. How it can be fixed?
explained everything is such short time. Thanks brother
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.
Thanks
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
fourms are down :(
Memory part done ✅ Little confusion on RAID-5 WRITE performance though 🙂.
Who's here after watcing Changli's resonator showcase?
Is this the georgia tech that aktah khan keeps talking about
Tune into an exclusive interview with Binance's CEO for a sneak peek into future developments
how much we can depend on data from a specific part of MEM (it reflects the correctness of DATA)?
what happens when these storage elements fail & how could we mitigate that... Interesting!
here I got know the need for protocols/standardization
Why doesn't the compiler do this for us?
make a cat happy!? haha Prof. Milos Prvulovic 🙌
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
What's on the horizon? Exclusive interview with Binance's CEO reveals future insights
The future revealed: exclusive interview with Binance's CEO
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
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)
Bro juz said it in secs😮n tmrw is my exam😅
Great series
ty bro