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Can a computer really think like a human? It can at least try, with deep learning. Watch to learn what deep learning is and how it works.

Deep learning, also known as deep neural networking, is a type of machine learning and artificial intelligence that imitates the way humans gain knowledge. Computers are able to "learn" to recognize and identify abstract objects, sometimes in the same manner as humans. Deep learning can be thought of as automated predictive analytics. Unlike traditional machine learning, deep learning algorithms are stacked in a hierarchy that increases in complexity.

Deep learning comes in handy especially for data scientists, who are tasked with collecting, analyzing, and interpreting large amounts of data. It can also be used for image recognition tools, natural language processing, and speech software. Deep learning has been implemented in a variety of fields from businesses to medical research to industrial factories, even to the military.

Does your business utilize deep learning? Let us know in the comments and be sure to give this video a like.


Read more about deep learning: https://searchenterpriseai.techtarget.com/definition/deep-learning-deep-neural-network/?utm_source=youtube&utm_medium=description&utm_campaign=bDAyquF-BrQ&offer=video-bDAyquF-BrQ

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While the Transformer architecture is used in a variety of applications across a number of domains, it first found success in natural language. Today, Transformers remain the de facto model in language - they achieve state-of-the-art results on most natural language benchmarks, and can generate text coherent enough to deceive human readers. In this talk, we will review recent progress in neural language modeling, discuss the link between generating text and solving downstream tasks, and explore how this led to the development of GPT models at OpenAI. Next, we’ll see how the same approach can be used to produce generative models and strong representations in other domains like images, text-to-image, and code. Finally, we will dive into the recently released code generating model, Codex, and examine this particularly interesting domain of study.


Mark Chen is a research scientist at OpenAI, where he manages the Algorithms Team. His research interests include generative modeling and representation learning, especially in the image and multimodal domains. Prior to OpenAI, Mark worked in high frequency trading and graduated from MIT. Mark is also a coach for the USA Computing Olympiad team.


A full list of guest lectures can be found here: https://www.youtube.com/playli....st?list=PLoROMvodv4r

0:00 Introduction
0:08 3-Gram Model (Shannon 1951)
0:27 Recurrent Neural Nets (Sutskever et al 2011)
1:12 Big LSTM (Jozefowicz et al 2016)
1:52 Transformer (Llu and Saleh et al 2018)
2:33 GPT-2: Big Transformer (Radford et al 2019)
3:38 GPT-3: Very Big Transformer (Brown et al 2019)
5:12 GPT-3: Can Humans Detect Generated News Articles?
9:09 Why Unsupervised Learning?
10:38 Is there a Big Trove of Unlabeled Data?
11:11 Why Use Autoregressive Generative Models for Unsupervised Learnin
13:00 Unsupervised Sentiment Neuron (Radford et al 2017)
14:11 Radford et al 2018)
15:21 Zero-Shot Reading Comprehension
16:44 GPT-2: Zero-Shot Translation
18:15 Language Model Metalearning
19:23 GPT-3: Few Shot Arithmetic
20:14 GPT-3: Few Shot Word Unscrambling
20:36 GPT-3: General Few Shot Learning
23:42 IGPT (Chen et al 2020): Can we apply GPT to images?
25:31 IGPT: Completions
26:24 IGPT: Feature Learning
32:20 Isn't Code Just Another Modality?
33:33 The HumanEval Dataset
36:00 The Pass @ K Metric
36:59 Codex: Training Details
38:03 An Easy Human Eval Problem (pass@1 -0.9)
38:36 A Medium HumanEval Problem (pass@1 -0.17)
39:00 A Hard HumanEval Problem (pass@1 -0.005)
41:26 Calibrating Sampling Temperature for Pass@k
42:19 The Unreasonable Effectiveness of Sampling
43:17 Can We Approximate Sampling Against an Oracle?
45:52 Main Figure
46:53 Limitations
47:38 Conclusion
48:19 Acknowledgements

#gpt3

🔥 Data Warehousing & BI Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/search
This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are:

1. What Is Data Warehousing?
2. Data Warehousing Concepts:
3. OLAP (On-Line Analytical Processing)
4. Types Of OLAP Cubes
5. Dimensions, Facts & Measures
6. Data Warehouse Schema

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Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt.

#DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining #DataWarehouseConcepts

Subscribe to our channel to get video updates. Hit the subscribe button above.

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How it Works?

1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course:

Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like:
1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations
2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards
3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart

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Who should go for this course?

The following professionals can go for this course:
1. Data warehousing enthusiasts
2. Analytics Managers
3. Data Modelers
4. ETL Developers and BI Developers

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Why learn Data Warehousing and Business Intelligence?

All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success.

With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin.

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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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LinkedIn: https://www.linkedin.com/company/edureka

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Customer Review:

Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."

Welcome to this comprehensive SQL tutorial course. This course covers the basics of relational databases and SQL, including setting up MySQL, inserting data, and working with aggregation, grouping, and pagination in SQL queries. It also covers advanced topics such as combining tables using joins, executing SQL queries using Python and SQL Alchemy, and solving technical interview questions. By the end of this course, you'll have the knowledge and confidence to excel in SQL.

✏️ Course created by@jovianhq

Important Links
🔗 Relational Databases notebook - https://jovian.com/aakashns/re....lational-databases-a
🔗 Advanced SQL Aggregation & Joins notebook - https://jovian.com/aakashns/ad....vanced-sql-aggregati
🔗 SQL data file: https://raw.githubusercontent.....com/harsha547/Classi

A database is an organized collection of structured information, typically stored in the form of tables (rows & columns). Relational databases allow storing and retrieving different kinds of related information e.g. products, customers, and orders for an online shopping site. Structured Query Language or SQL (pronounced "sequel") is the most widely used language for interacting with relational databases, and is an essential skill for Data Science professionals.

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:28) Relational Databases & SQL
⌨️ (0:03:05) Setting up MySQL
⌨️ (0:29:23) Inserting Data into the Table
⌨️ (0:56:32) Practice Exercises
⌨️ (1:22:12) Aggregation, grouping & pagination in SQL queries
⌨️ (2:23:17) Mapping and Arithmetic Functions
⌨️ (2:54:53) Working with Dates
⌨️ (3:12:16) Combining Tables using Joins
⌨️ (3:30:14) Executing SQL queries using Python and SQL Alchemy
⌨️ (4:11:06) 3 step approach to Interview Questions
⌨️ (4:36:58) Interview Q - Apple
⌨️ (4:38:59) Interview Q - Linkedin
⌨️ (4:43:09) Interview Q - Meta
⌨️ (4:50:41) Interview Q - Uber
⌨️ (4:59:18) Interview Q - Amazon
⌨️ (5:07:27) Interview Q - Google

🎉 Thanks to our Champion and Sponsor supporters:
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00:00 Introduction
00:00:18 Agenda
00:02:35 Introduction to NLP
00:04:08 Ways to process Text Data
00:05:55 Recurrent Neutrals Networks
00:16:06 Long Short-term Memory
00:17:17 LSTM Use Cases
00:18:15 Name Entity Recognition
00:20:55 Sentiment Analysis
00:22:50 Machine Translation
00:24:19 Hands-on

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/seleniu....m-certification-trai code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this ‘Test Automation Strategy’ video by Edureka, you will learn about how to make test automation successful with a test automation strategy. Below topics are covered in this video:
Introduction to Automation Testing
Test Automation Strategy
Benefits of Test Automation Strategy

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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Please share your feedback below and don't forget to take the quiz at 03:32! Comment below what you think is the right answer.

This video on Quantum Computing gives you an overview of the underlying technology of Quantum Computing. This video will help you understand its difference from other classic computers or Supercomputers. A conventional digital computer manipulates bits of value "0" or "1" to execute data processing operations.
This video will also take you through companies currently adopting and implementing Quantum Computing and will let you explore how it is used in different industries and firms and what future it holds for itself.

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About Simplilearn Artificial Intelligence course:
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

What are the career benefits of this Introduction to AI course?
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation).

What are the course objectives?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes.

What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
1. The meaning, purpose, scope, stages, applications and effects of AI
2. Fundamental concepts of machine learning and deep learning
3. The difference between supervised, semi-supervised and unsupervised learning
4. Machine Learning workflow and how to implement the steps effectively
5. The role of performance metrics and how to identify their key methods

Who should take this Introduction to Artificial Intelligence course?
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer
2. Analytics managers who are leading a team of analysts
3. Information architects who want to gain expertise in AI algorithms
4. Analytics professionals who want to work in machine learning or artificial intelligence
5. Graduates looking to build a career in artificial intelligence or machine learning

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IoT architecture determines the efficiency and working of an IoT set-up. The concept behind the Internet of Things is as powerful as it is complex, and in order for the elements in the IoT puzzle to mesh together perfectly, they all have to be part of a well-thought-out structure. This is where IoT architecture enters into play. In this video, we'll understand the complete IoT structure.
Below topics are explained in this IoT architecture tutorial:
1. IoT Architecture - 0:00
2. IoT device architecture - 0:22
3. IoT reference architecture - 1:22
4. IoT standardization and design considerations - 4:04
5. IoT in smart farming - 8:40

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What is IoT?
IoT is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet.

Introduction to IoT Training Course:
If you’re new to the Internet of Things (IoT) and want to leverage it across business functions, then this introductory course is for you. You’ll get a glimpse into the ever-growing field of IoT, a technology that allows the intelligent exchange of data among a network of internet-connected objects.

Course Overview:
The primary objective of this Introduction to IoT Training Course is to give you insights into the bright and exciting future of the Internet of Things (IoT). The course will familiarize you with IoT concepts, their origin, impact, methodologies and tools, and how IoT is integrated into business applications to improve business results.

Key Features:
- 2 hours of in-depth eLearning
- Lifetime access to self-paced learning
- Industry-relevant course completion certificate
- Comprehensive industry-relevant use cases and case studies

Eligibility:
This IoT course caters to CXO level and middle management professionals who want to enhance business value and ROI leveraging IoT. Simplilearn’s Introduction to IoT Training Course is ideal for anyone who wants to learn the fundamentals of IoT or pursue a career in this growing field.

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GPT-3 was in all news its Human-like Text Generation capabilities. Shame it was never opensourced by Open AI (!). Hence EleutherAI with a bunch of researchers set out to create a true GPT-3 open-source alternative and GPT-J-6B is the product of those efforts.

GPT-J-6B is a 6 billion parameter, autoregressive text generation model trained on The Pile.

Useful Links:
✅ Mesh Transformer JAX - https://github.com/kingoflolz/mesh-transformer-jax
✅ GPT-J-6B: 6B JAX-Based Transformer Blogpost by Aran Komatsuzaki - https://arankomatsuzaki.wordpr....ess.com/2021/06/04/g
✅Web Demo of GPT-J-6B for Text Generation - https://6b.eleuther.ai/
✅Colab (Python) Notebook - https://colab.research.google.....com/github/kingoflol
✅JAX - https://jax.readthedocs.io/en/....latest/notebooks/qui

Related Videos:

🎥 AI Text Generation with GPT-3 OpenSource Alternative GPT-Neo Model using Hugging Face Hub
- https://www.youtube.com/watch?v=0PuVk6c8Ua8

🎥 AI-Generated Blog Content with GPT-Neo (GPT-3 Alternative) + Gradio | Python ML Web App - https://youtu.be/d_xRYyy2LFM

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This Edureka "Social Media Marketing" video will help you understand how Social Media helps you in giving a boost to your marketing efforts. Below are the topics covered in this Social Media Marketing video:
00:00:00 Introduction
00:00:43 Agenda
00:01:11 What is Social Media Marketing
00:02:40 Pillars OF Social Media Marketing
00:06:22 Social Media Marketing Tool
00:08:40 Social Media Marketing Tips
00:10:26 How to choose the Best Platform

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