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In this "Switching Career to Data Science" tutorial by Simplilearn, you will learn the essential steps to transition into the field of data science successfully. The tutorial covers assessing your skills, identifying knowledge gaps, and acquiring the necessary skills through online courses and practical projects. You will also learn the importance of networking and community engagement, tailoring your resume for data science roles, and preparing for interviews. Whether you come from a different industry or have a background in a related field, this tutorial will provide you with a clear roadmap s of data science. From understanding key concepts and methodologies to learning programming languages and statistical techniques, we will delve into the foundations of data science and empower you to embark on a successful career in this dynamic and rewarding domain

Following are the topics covered in this tutorial:
00:00 Introduction to Data Science
01:12 Current scope of Data Science
01:38 What is Data Science
02:01 Need for Data Science
03:54 What does a Data Scientist do?
05:01 How to transition into Data Science?
08:10 Prerequisites for Data Science
09:40 Tools and skills to master for Data Science

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✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

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This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions and many more functions and formulas available in Microsoft Excel.

00:00:00 MS Excel Basic
00:01:30 Excel Sort and Filter
01:12:21 Functions in Excel
01:39:02 Conditional formatting
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02:07:15 Pivot Tables and Charts
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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business.

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About Business Analytics Certification Course with Excel:
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career. This Business Analytics certification course teaches you the basic concepts of data analysis and statistics to help data-driven decision-making. This training introduces you to Power BI and delves into the statistical concepts that will help you devise insights from available data in order to present your findings using executive-level dashboards.

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00:01:42 Data Structures in Python
00:04:53 User-Defined Data Structures
00:05:14 What are Algorithms
00:08:25 Elements of a Good Algorithm
00:09:30 Algorithm Classes
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00:15:44 Sorting Algorithms
00:19:00 Hands On
00:24:05 Algorithm Analysis
00:26:55 Searching Algorithms

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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.

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This video on "AI Roadmap for 2023" offers a comprehensive guide to becoming an AI engineer. This "Roadmap to Become an Artificial Intelligence Engineer" will help you to gain insights into vital programming languages and mathematical concepts essential for achieving expertise in AI engineering. AI presents exciting career opportunities in various industries and sectors. Roles like AI engineers, data scientists, NLP engineers, computer vision engineers, AI research scientists, robotics engineers, and many more offer exciting prospects for working with cutting-edge technologies and making an impact through AI innovation. According to Glassdoor, the average reported salary of an AI engineer in the United States is around $105,000/ yr; however, in India, it is ₹9,33,502L per annum.

In this "AI Roadmap for 2023" , we will cover the following topics:

✅ 00:00 AI Roadmap for 2023
✅ 00:10 Introduction to Artificial Intelligence
✅ 01:09 Salary of an AI Engineer
✅ 02:57 Top Companies Hiring AI Engineer
✅ 03:05 Steps to Become an AI Engineer
✅ 05:11 The Necessary Programming Languages and Algorithms

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-AI systems are designed to mimic human cognitive abilities and perform tasks such as speech recognition, natural language processing, image and pattern recognition, decision-making, and problem-solving. These systems can analyze large amounts of data, identify patterns, make predictions, and adapt to changing circumstances.

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.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:
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This Edureka video on "Python For Data Science" explains the fundamental concepts of data science using python. It will also help you to analyze, manipulate and implement machine learning using various python libraries such as NumPy, Pandas and Scikit-learn
00:00:00 Agenda
00:00:36 Need of Data Science
00:07:59 What is Data Science
00:09:50 Data Life Cycle
00:11:53 Programming Languages for Data Science
00:13:11 Python for Data Science
00:19:14 NumPy and Pandas
00:20:31 Machine Learning
00:25:37 Types of Machine Learning
00:28:04 Supervised Learning
00:28:58 Unsupervised Learning
00:32:34 Reinforcement Learning

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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Curai's Xavier Amatriain shares how he uses GPT-3 to generate training data for medical summarization.

A link to the paper discussed: https://aclanthology.org/2021.nlpmc-1.9/

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This clip is part of "Building AI-powered primary care with Curai's CTO, Xavier Amatriain", an episode of the Gradient Dissent podcast.

🌟 Full episode here: https://www.youtube.com/watch?v=JBjt1X_zvvE 🌟

---

Follow Gradient Dissent on Twiter 👉 https://twitter.com/wandb_gd

#gpt4chan #4chan #ai

GPT-4chan was trained on over 3 years of posts from 4chan's "politically incorrect" (/pol/) board.
(and no, this is not GPT-4)

EXTRA VIDEO HERE: https://www.youtube.com/watch?v=dQw4w9WgXcQ

Website (try the model here): https://gpt-4chan.com
Model (no longer available): https://huggingface.co/ykilcher/gpt-4chan
Code: https://github.com/yk/gpt-4chan-public
Dataset: https://zenodo.org/record/3606810#.YpjGgexByDU

OUTLINE:
0:00 - Intro
0:30 - Disclaimers
1:20 - Elon, Twitter, and the Seychelles
4:10 - How I trained a language model on 4chan posts
6:30 - How good is this model?
8:55 - Building a 4chan bot
11:00 - Something strange is happening
13:20 - How the bot got unmasked
15:15 - Here we go again
18:00 - Final thoughts

ERRATA:
- I stated that the model is better on the automated parts of TruthfulQA than any other GPT out there, which is incorrect. There exist some small GPT-models with similar performance, I was mainly talking about the flagship models, such as GPT-3 and GPT-J.

Links:
Merch: https://ykilcher.com/merch
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://ykilcher.com/discord
BitChute: https://www.bitchute.com/channel/yannic-kilcher
LinkedIn: https://www.linkedin.com/in/ykilcher
BiliBili: https://space.bilibili.com/2017636191

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
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#graphgpt #gpt3 #machinelearning
GraphGPT converts unstructured natural language into a knowledge graph. Pass in the synopsis of your favorite movie, a passage from a confusing Wikipedia page, or a transcript from a video to generate a graph visualization of entities and their relationships. A classic use case of prompt engineering.

Github: https://github.com/varunshenoy/GraphGPT
Demo: https://graphgpt.vercel.app/

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Subscribe now - https://prakhar-mishra.medium.com/membership

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You can consider buying me chai ( because i don't drink coffee :) ) at https://www.buymeacoffee.com/TechvizCoffee
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⏩ IMPORTANT LINKS
Research Paper Summaries: https://www.youtube.com/watch?v=ykClwtoLER8&list=PLsAqq9lZFOtWUz1WEoJ3GXw197LD7BxMc

*********************************************
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⏩ GitHub - https://github.com/prakhar21
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Tools I use for making videos :)
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#techviz #datascienceguy #deeplearning #ai #transformers #knowledgegraph #promptengineering

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This Edureka video on "AI Roadmap For 2023” will provide you with comprehensive and detailed knowledge on the artificial intelligence roadmap based on career, skills, and job roles.
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This Edureka video on "Azure Portal” will give you a complete walkthrough to Microsoft Azure management console and help you use it to explore services it has to.

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