What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖

This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.

📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
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About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

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This course will teach you to build real-world apps with React Router 6. Click here to get to the interactive version 👉 https://scrimba.com/links/react-router-6-course

Throughout the course, you’ll be building an app called “VanLife” – an Airbnb-style web app dedicated to renting out travel vans for your next big road trip!

As you build “VanLife”, you will learn all the important parts of React Router, such as layout and index routes, nested routes, filtering results with search parameters, protecting routes for authenticated users, and more. You will also learn about the new Remix-inspired data router APIs, including Loaders and Actions.

This course was created by Bob Ziroll, Scrimba’s Head of Education.
🔗 Bob on Twitter here: https://twitter.com/bobziroll
🔗 Scrimba on YouTube: https://www.youtube.com/c/Scrimba

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🔗 Scrimba course: https://scrimba.com/links/react-router-6-course
🔗 GitHub repo: https://scrimba.com/links/reac....t-router-course-gith

💫 Links mentioned in course:
🔗 Scrimba’s Learn React Course - https://scrimba.com/learn/learnreact
🔗 VanLife Figma Design - https://scrimba.com/links/figma-vanlife
🔗 Firebase - https://scrimba.com/links/firebase-homepage
🔗 Firestore Docs, get all docs in collection - https://scrimba.com/links/fire....store-docs-get-all-d
🔗 Netlify - https://scrimba.com/links/netlify-home-page
🔗 GitHub Desktop - https://desktop.github.com/
🔗 Mirage JS - https://miragejs.com/

0:00 1: Introduction to React Router 6
4:56 2: Multi-page vs single-page apps
10:12 Extra: Local Development & GitHub Repo
12:25 3: React Router Setup & BrowserRouter
15:40 4: Routes
18:23 5: BrowserRouter & Routes Challenge
19:32 6: Route, Path, & Element
23:48 7: Quick Re-org
24:53 8: Link
28:55 9: VanLife project bootstrapping
37:01 10: Initial Deploy to Netlify
48:47 11: Mirage JS Server
50:41 12: Challenge: Vans Page - Part 1
1:02:09 14: Route Params
1:25:09 19: Nested Routes Intro
1:34:04 20: Fixing the Navbar with a Layout Route
1:46:45 22: Bootstrap the Host pages
1:50:45 23: Nesting the /host routes
1:54:34 24: Creating the Host Layout
2:01:04 25: Relative Paths
2:05:32 26: Index Routes
2:09:24 27: To nest or not to nest?
2:14:34 28: Nested Routes Quiz
2:19:26 29: Add Footer
2:22:47 30: NavLink
2:30:03 31: Active Link Styling with NavLink
2:39:14 33: Adding Host Vans Routes
2:44:28 34: Optimal Side Quest
2:47:49 35: Building the Host Van Detail page
2:56:47 36: Relative Links
3:03:51 37: Back to all vans
3:09:08 38: Add /host/vans/:id Nested Routes
3:17:17 39: Add the Final Navbar
3:23:53 40: Outlet Context
3:29:27 41: Update deployed version on Netlify
3:32:45 42: Search Params Intro
3:40:04 43: useSearchParams
3:48:55 45: Filter the array w/ the search param
3:55:47 47: Using Links to add search params
4:01:57 49: Using the search params setter function
4:08:05 51: Caveats to setting params
4:09:38 52: Merging search params
4:21:13 54: Challenge: Conditional rendering practice
4:25:56 55: Fix remaining absolute paths
4:27:50 56: Back to all vans
4:30:05 57: Link state
4:36:37 58: useLocation
4:47:31 60: 404 Page
4:53:22 61: Happy Path vs Sad Path
4:56:01 62: Update to our fetching code
4:59:02 63: Coding the Sad Path
5:07:37 65: Loaders intro
5:12:03 66: createBrowserRouter
5:18:13 67: Setting up the data router
5:21:00 68: Loader function
5:25:17 70: useLoaderData
5:29:52 72: Use the loader data instead of the useEffect
5:33:51 73: Loaders Quiz
5:37:06 74: Handling errors
5:39:49 75: Add errorElement to vans route
5:42:40 76: useRouteError
5:49:06 77: Initial Login Form
5:51:31 78: Importing image assets in Vite
5:54:22 79: Protected Routes
6:18:28 85: Parallel Loaders Demo
6:22:02 86: Challenge - Protected Routes
6:43:51 91: Send login message prompt to login page
6:46:56 92: Consume message
6:54:37 93: Pass message to Login page
6:58:26 94: Hot Take: Forms in React are bad
7:00:58 95: Setting up for auth
7:13:57 97: useNavigate()
7:17:44 98: React Router Form Component
7:20:41 99: Setting up the action function
7:25:13 100: Add form and action to VanLife
7:27:31 101: Action function
7:32:39 103: Get form data in VanLife
7:34:22 104: Use data in action to log in
7:36:57 105: Better (but still fake) auth
7:44:08 107: Form replace
7:49:23 108: useActionData
7:53:50 109: Action error handling
8:00:00 111: useNavigation()
8:08:07 113: Get previous route pathname
8:15:05 114: redirectTo
8:30:37 117: Deferring data
8:33:35 118: Promises and defer()
8:39:19 119: defer getVans()
8:41:04 120: Await component
8:55:28 123: React Suspense
9:00:27 124: Suspense in VanLife
9:03:51 125: Putting it all together - Defer, Await, Suspense in HostVans
9:08:31 126: errorElements in remaining van loading pages
9:11:55 127: Placeholders are gone!
9:13:57 128: Cloud Firestore
9:23:25 130: Collection reference and getVans() function
9:30:54 131: Create getVan() function
9:35:42 132: Refactor getHostVans function
9:39:29 133: Final loose ends

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0:01:14 How To Change Lower Case To Upper Case In Excel?
0:01:33 How To Add Rows In Excel?
0:02:57 How To Add Columns In Excel?
0:02:48 How To Select Entire Column In Excel?
0:07:19 How to Compare Two Columns In Excel?
0:01:37 How To Convert Rows To Columns In Excel?
0:01:45 How to Group Rows in Excel?
0:03:47 How To Remove Blank Rows In Excel?
0:02:29 How To Freeze Row In Excel Tutorial
0:02:45 How to Convert Number to Words in Excel?
0:02:28 Combining Data From Multiple Cells In Excel
0:04:45 How To Merge Cells In Excel
0:01:36 How to Add Date in Excel?
0:03:54 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
0:01:54 How To Calculate Age In Excel From A Date Of Birth?
0:01:38 How To Calculate Time Difference in Excel?
0:05:05 DAX In Excel Explained
0:04:11 Checkboxes In Excel
0:02:06 How to Insert Excel in PPT?
0:03:27 How To Insert Image In Excel?
0:03:28 How To Insert PDF in Excel Sheet ?
0:04:33 How To Convert PDF To Excel
0:02:57 How to Insert Tick Mark in Excel?
0:02:52 How to add Watermark in Excel?
0:02:54 How to Increase Cell Size in Excel?
0:03:18 How to create Barcode In Excel
0:04:51 Excel Flash Fill
0:12:44 How to Add Hyperlink In Excel
0:02:34 Excel Round Off Formula
0:06:32 How To Calculate Standard Deviation In Excel?
0:04:21 Index Match In Excel
0:01:30 How to Sort by Date in Excel?
0:03:06 How to Use AutoSum In Excel
0:09:36 How To Sort Data In Excel?
0:04:23 Slicer and Filter in Excel
0:01:31 How to Add Filters in Excel
0:04:27 Goal Seek In Excel
0:10:57 How to Create Drop Down List In Excel?
0:26:42 Data Validation In Excel
0:06:26 How To Lock(Protect) Cells In Excel
0:00:48 How To Calculate Average In Excel?
0:18:03 Excel Print Page Setup
0:01:48 Page Break In Excel For Beginners
0:03:20 Conditional Formatting In Excel
0:05:45 How to Count Colored Cells in Excel?
0:03:13 DateDif In Excel Explained
0:04:08 Remove Duplicates In Excel
0:07:36 SUMIFS Formula in Excel
0:04:18 How To Create Pivot Tables In Excel?
0:03:22 Autofill In Excel Explained
0:01:46 How to Calculate Percentage In Excel
0:03:56 How To Highlight Duplicates In Excel?
0:17:58 Charts In Excel

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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1. Деякі пігменти вибірково поглинають УФ, тому вони можуть здаватися світлими у видимому світлі, але темними в УФ. Зазвичай пігменти розсіюють УФ-енергію як тепло, але також може відбуватися розрив внутрішньомолекулярних зв’язків.
2. Флуоресцентні молекули поглинають УФ випромінювання і повторно випромінюють цю енергію як видиме світло. Це робить їх темними в УФ діапазоні, і змушує світитися видимим світлом під дією УФ випромінювання.
3. Ультрафіолетове світло розсіюється сильніше, ніж видиме світло, оскільки довжина хвилі менша, а релеївське розсіювання обернено пропорційне довжині хвилі в четвертому степені.

✅Текст читали: Ігор Анісімов (AdrianZp) та Мар’яна Янкевич (MariAm Blog).
✅Переклад, редагування, субтитрування, монтаж: Віталій Шевчук | Цікава наука.

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References:
Overview of main UV effects:
Visualizing Rayleigh Scattering through UV Photography
https://watermark.silverchair.....com/bams-d-14-00260_
Arctic animals are photographed in the UV to increase visibility and get an accurate count:
Lavigne, D. (1976). Counting Harp Seals with ultra-violet photography. Polar Record, 18(114), 269-277. doi:10.1017/S0032247400000310
Absorption spectrum of melanin: https://www.cl.cam.ac.uk/~jgd1000/melanin.html
"The spectroscopy of human melanin pigmentation," by N. Kollias. In: Melanin: Its Role in Human Photoprotection, pp. 31 - 38. Valdenmar Publishing Co. (1995).
"Optical properties of human sclera, and their consequences for transscleral laser applications," by A. Vogel, C. Dlugos, and R. Nuffer, Lasers in Surgery and Medicine 11(4), pp. 331 - 340 (1991).
"The incidence and time-course of latanoprost-induced iridial pigmentation as a function of eye color," by P. Wistrand, J. Stjernschantz, and K. Olsson, Survey of Ophthalmology 41(S2), pp. S129 - S138 (1997).

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➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

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- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
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- Neural Networks
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In this video, we see two math problems that require the exact same logic to solve. However, one is very easy and one is very hard. Why?

For information on my book "Grokking Machine Learning":
https://www.manning.com/books/....grokking-machine-lea
Discount code (40%): serranoyt

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 1 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Introduction to SLM
2. 40:15 Dataset loading
3. 53:36 Tokenization
4. 01:24:42 Creating input-output pairs

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-