Let's say you have a model that is working but now you want to be able to save a checkpoint and load it to continue training at a later point. In this video I walkthrough an example of how to do it!

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
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DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.

Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.

In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.

________________________

Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2....014-03-NN-Manifolds-

You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/....karpathy/convnetjs/d

Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D

The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB

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Watch live to learn about how the deep learning frameworks in MATLAB and Simulink can be used with TensorFlow and PyTorch to provide enhanced capabilities for building and training your Machine Learning model.

Heather Gorr, PhD and Yann Debray will show you can take full advantage of the MATLAB ecosystem and integrate it with resources developed by the open-source community. You can combine workflows that include data-centric preprocessing, model tuning, model compression, model integration, and automatic code generation with models developed outside of MATLAB.

Explore the options and benefits, along with examples, of the various interoperability pathways available, including:
- Importing and exporting models from TensorFlow, PyTorch, and ONNX into and from MATLAB
- Coexecuting MATLAB alongside installations of TensorFlow and PyTorch

What will the future of AI programming look like with tools like ChatGPT and GitHub Copilot? Let's take a look at how machine learning could change the daily lives of developers in the near future.

#ai #tech #TheCodeReport

💬 Chat with Me on Discord

https://discord.gg/fireship

🔗 Resources

ChatGPT Demo https://openai.com/blog/chatgpt
Codex CLI https://github.com/microsoft/Codex-CLI
Tech Trends to Watch in 2023 https://youtu.be/1v_TEnpqHXE

🔥 Get More Content - Upgrade to PRO

Upgrade at https://fireship.io/pro
Use code YT25 for 25% off PRO access

🎨 My Editor Settings

- Atom One Dark
- vscode-icons
- Fira Code Font

🔖 Topics Covered

- How will ChatGPT affect programmers?
- Is AI going to replace software engineers?
- The future of AI programming tools?
- Universal AI programming language
- Using AI from the command line

🔥 SQL Certification Training: https://www.edureka.co/search
This Edureka video on 'Top SQL Books' will help you know about the top books related to SQL. If you are learning SQL, and are looking for good books to refer to, this is the best place!

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#edureka #edurekasql #sqlbooks #sqlnormalization #sqltutorialsforbeginners #sqldbms

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How does it work?

1. This is a 4 Week Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate!

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About The Course
MySQL is the most popular open-source database. This training is your first step towards gaining a strong foundation and hands-on experience in using and administering this open-source relational database.

You will gain an understanding of the core concepts and advanced tools and techniques to manage data and administer the MySQL Database. Through this training, you will gain the ability to create and administer your own MySQL Database and manage data.

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Who should go for this course?
This course can be beneficial for people having the below professional background:

• Database Developers

• Application Developers

• Database Designers

• Database Administrators

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Why learn MySQL DBA?

Edureka's MySQL Administration training is based on the MySQL Database 5.6 version. This is your first step in getting to know this open-source relational database with extensive hands-on learning.

You will get a general understanding of relational databases and techniques to design an efficient database system. You will learn the powerful Structured Query Language (SQL) to build a database and manipulate data. You will also learn the various administration skills required to manage the database.



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This video by Simplilearn will list 5 Free Life Changing Certification Courses That You Should Enroll Now ! 🔥🔥
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This video on "Blockchain Full Course" covers all the necessary details related to Blockchain Technology and its underlying concepts like Hyperledgers, Smart Contracts, Merkle Tree, different types of cryptocurrencies. This Blockchain Technology Full Course for Beginners will help you understand about Blockchain Technology in a more effecient way. It will also guide you with how you can build your career in this particular field.

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This DevOps tools full course will help you learn DevOps concepts, and DevOps tools with examples and demos starting from basics to advanced. It will cover different DevOps tools like Git, Ansible, Selenium, Docker, Chef, Puppet, Kubernetes and Gradle.

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Below are the topics covered in this video:
What is DevOps
Why DevOps
DevOps Phases
What is Git?
What is GitHub?
Git Commands
What is Jenkins
Jenkins Pipeline
Jenkins Installation
What is Docker?
Docker Installation
What is Docker Container?
What is Kubernetes?
Kubernetes Vs. Docker
Kubernetes on AWS
What is Puppet?
Why Puppet?
Puppet Installation
Ansible Installation
What is Ansible?
Benefits of Ansible
What is Selenium
Selenium suite of tools
Selenium Installation
DevOps Interview Questions

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About Simplilearn DevOps Training Course:
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this DevOps training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

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🔥Explore Amazing Courses By Simplilearn: https://www.simplilearn.com/?u....tm_campaign=Convocat
&utm_medium=DescriptionFF&utm_source=youtube

Welcome to the 3rd Online Convocation for Caltech CTME on 20th October 2022 - Simplilearn 2022. Congratulations on your well-deserved success! Wishing you all great success ahead!

Chief Guest: Mr. Mike Ash, Director at Caltech CTME
Guest of honor from SimpliLearn: Mr. Kashyap Dalal

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In this 🔥 Help Me Write - A New Gmail Feature video, we explore the incredible "Help Me Write" feature introduced in Gmail. With the power of artificial intelligence, this tool suggests relevant phrases, complete sentences, and even entire paragraphs as you type, making email composition effortless and efficient. It also acts as your personal grammar and spelling assistant, ensuring error-free communication. Join us as we dive into the details of this groundbreaking feature and learn how to use it effectively. Say goodbye to writer's block and hello to polished emails with Gmail's "Help Me Write"!

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00:00 Introduction to Help Me Write Feature
02:23 Unleashing the Power of "Help Me Write"
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06:11 Benefits and Best Practices of the Feature
07:18 Key Tips to Use the Feature
07:39 Limitations of "Help Me Write"

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✅ About Post Graduate Program In AI And Machine Learning Course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

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By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

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What exactly can GPT-4 see? And does OpenAI have a plan for physical embodiment? Over 12 separate developments announced in the last few days are covered in this video, in which I showcase how improvements in text, speech, 3D, and embodiment are beginning to complement each other.

We'll take an early look at use cases for images in GPT 4, how Nvidia and Adobe are pushing boundaries in Text to 3D, at Sam Altman's Moore's Law For Everything, at the new LeRF model and Assembly AI's latest Speech-to-Text.

We will also see how OpenAI already had a Robotics team but now is invested in 1x, developing humanoid robots. But they are not the first, as Agility Robotics has shown...

Conformer Model: https://www.assemblyai.com/playground/source

Napkin-to-Code: https://twitter.com/rowancheun....g/status/16357445295
BeMyEyes: https://twitter.com/BeMyEyes/s....tatus/16356902546895
Tanishq: https://twitter.com/iScienceLuvr
Medical Questions: https://arxiv.org/pdf/2303.13375.pdf
VQA: https://arxiv.org/pdf/1904.08920.pdf
Scale is All You Need: https://twitter.com/markchen90..../status/163790378039
Nvidia Text-to-3D: https://twitter.com/chenhsuan_lin/status/1638543416723406849?t=rXEsDcEvsdmMPEsZPPhWmw&s=09
Adobe Firefly: https://www.youtube.com/watch?v=_sJfNfMAQHw
Moore's Law For Everything: https://moores.samaltman.com/#....:~:text=Moore%27s%20
LeRF 3D: https://arxiv.org/pdf/2303.09553.pdf
Wired: https://www.wired.com/story/fa....st-forward-for-smart
Conformer Model: https://www.assemblyai.com/playground/source
https://www.assemblyai.com/blog/conformer-1/
Boston Dynamics: https://www.youtube.com/watch?v=-e1_QhJ1EhQ
1X: https://www.1x.tech/
Quadrupedal Agility: https://arxiv.org/pdf/2303.11330.pdf
Rubik's Cube: https://openai.com/research/solving-rubiks-cube
Statues: https://twitter.com/TuurDemees....ter/status/163942172
GPT 4 Technical Report: https://arxiv.org/pdf/2303.08774.pdf
Agility Robotics: https://www.youtube.com/watch?v=FhlUI2xDxdE
Sam Altman Lex Fridman: https://www.youtube.com/watch?v=L_Guz73e6fw


https://www.patreon.com/AIExplained

This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.

In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.

This is brilliant! Kudos to the team.

bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=9August2023LGLoopEvening1-lTzHlU3OrXs&utm_medium=DescriptionFirstFold&utm_source=youtube
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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
Below are the topics covered in this AI and ML full course:

Artificial Intelligence Full Course 2022
Artificial Intelligence Basics
Top 10 AI Technologies 2022
Top 10 AI Companies for 2022
Machine Learning Algorithms
Linear Regression
Decision Tree
SVM
Clustering
K-means Clustering
Logistic Regression
KNN
Perceptron
RNN
Keras
CNN classification
Sequential Model

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
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- Neural Networks
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- And Many More…

👉Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=9August2023LGLoopEvening1-lTzHlU3OrXs&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Learn how to create an expert level artificial intelligence to play Connect Four using Python. We start out with a very simple implementation of just dropping a piece randomly and then progress to choosing a column based on score and then finally implementing the minimax algorithm with alpha beta pruning.

💻 Initial code: https://github.com/KeithGalli/Connect4-Python

🎥Developing the initial connect four game: https://youtu.be/XpYz-q1lxu8
🎥How a board game AI works: https://youtu.be/y7AKtWGOPAE
🎥Alpha-beta pruning: https://youtu.be/l-hh51ncgDI

Video from Keith Galli. Check out his channel: https://www.youtube.com/channe....l/UCq6XkhO5SZ66N04Ic

Keith on social media:
https://www.instagram.com/keithgalli/
https://twitter.com/keithgalli/

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🔥Data Analytics Course for 3-8 Yrs Work Exp: https://l.linklyhq.com/l/1tx7T
🔥Data Analytics Course for 0-3 Yrs Work Exp: https://l.linklyhq.com/l/1ugCA
🔥Data Analytics Course for 8+ Yrs Work Exp: https://l.linklyhq.com/l/1ugCG

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

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#CompleteExcelTutorial2023 #CompleteExcelCourse #ExcelTutoring #ExcelFullCourseForBeginners #IntroductiontoMicrosoftExcel #ExcelFullCourse #ExcelTraining #ExcelBasicsTrainingCourse #ExcelTraining #Exceltutorial #AdvancedExcelFullcourse #ExcelCourse #CompleteExcelCourse #AdvancedExcelTutorial #ExcelTraining #MSExcel #ExcelForBeginners #ExcelFullCourse #LearnExcel #2023 #Simplilearn

➡️ 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.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- 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

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=14Nov2023CompleteExcelTutorial2023&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=14Nov2023CompleteExcelTutorial2023&utm_medium=Description&utm_source=youtube

37 гривень на «Гнів Пречистий» ➡️ https://send.monobank.ua/jar/7MgRmb8MyE 🔥

Переклав: Vladee Flava.
Озвучили: Vladee Flava, Юрій Чеков, Валерія-Анастасія Пришляк, Олексій Великий, Юлія Оліяр, Юра Кавратка, Таня Дворжак, Олег Андрощук, Лариса Пришляк та Валентин Глушко.

Оригінал: https://youtu.be/d6iQrh2TK98?si=PRo0bcK3J3-Mok34

PROМОВА (ПРОЄКТ МОВА) - створений задля поширення та популяризації українськомовного контенту, основу каналу складають іноземні відео вперше озвучені українською мовою.

ПІДТРИМАЙТЕ ПРОЄКТ МОВА ФІНАНСОВО:
➡️ https://bmc.link/projektmova/membership - Buy Me A Coffee ☕
➡️ https://donatello.to/projektmova - Donatello 🐢
➡️ 4441 1144 6986 4571 - Monobank 💳

Дякую за підтримку: VALERII MARKUS, Галина Свиноус, Zagin Kinomaniv, Ярослав Характерник, Eugene Medvediev, Zhuk Orest, AirMaiden, Anastacia Lukashevych, Андрїй Молявчик, Дмитро Солов'янов, Олексій Іванчук, Bohdan Kvas, Pavlo, Dyka Olenka, Dmytro Savochkin, Vil Vilnyi, Oleksandr Karpov, v_omelianiuk, Danylo, Zergatul, Ihor Musikevych, Valentyn Solomko, Ken Guru, vch_m, Pavlo Pravdiukov, Vladyslav Yevtiukhin, Anna, Yurii Selinnyi та іншим 🙏🏼

Окрема подяка: Анатолій Партика, Євгеній Домарєв, Раймонд Пермінов, Денис Мартиненко, Олександр Білецький 🔥

➡️ https://instagram.com/projektmova 📱
➡️ https://t.me/projektmova 📱

#VERITASIUM #ЯДЕРНИЙКРАТЕР #ПРОЄКТМОВА

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

В мире робототехники существует много соревнований, и, возможно одно из самых странных — забеги робомышей по лабиринту. Так называемые «микромыши» должны самостоятельно найти кратчайший путь к цели, а затем пройти его как можно быстрее. Состязания проводятся регулярно уже пару десятков лет, и Дерек Маллер с канала Veritasium посетил одно из них, чтобы пообщаться с участниками и узнать, что же их привлекает в этом нестандартном виде спорта.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Алексей Гущенко
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Шурик Самара, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, dv0, Адам Шифф, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения, Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Куляш, Anatoly Ressin, Мikhail Samin, Pavel Parpura, Vitaliy Vachynyuk, Anton Bolotov, Таисия, Eugene Tsaplin, Ника Калмыкова, opperatius, Katoto Chan, Oleg Zingilevskiy, angel, Victor Cazacov, Kirill Zaslavskii, Vladimir Sharich, Oleksandr Hrebeniuk, Vadim Velicodnii, Artem Amirbekov, Evgeny Vrublevsky, Ihar Marozau, Morock_D, Katya Ma, Николай Шпотаковский, Maxim Korotkov, Timur Sattarov, Alex Kulakov, Janis Riekstins, Anna Ostrovskaya, Vladyslav Sokolenko, Dzmitryi Halyava, Irina Shakhverdova, Leonid Steinberg, Aleksei Shabalin, Alexander Goida.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/ZMQbHMgK2rw

Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.

💻 Code: https://github.com/krishnaik06/Finetuning-LLM

✏️ Course developed by @krishnaik06

⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

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