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In this sas tutorial you will learn what is sas, various sas applications, sas program structure and hands on sas demo in this sas course video.
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👉Following topics are covered in this SAS tutorial:
00:00 - SAS Training
00:50 - What is SAS?
02:15 - SAS Program Structure
02:35 - SAS Tutorial Demo
16:49 - Libraries
29:32 - Step Boundary
43:39 - Base SAS
50:27 - Proc Copy
01:14:07 - Set Statement
01:16:50 - Assignment
01:17:17 - Where Statement
01:22:07 - Operands
01:28:42 - Reading and Sub Setting SAS Data Sets
02:03:06 - BETWEEN - AND Conditions
02:08:41 - IS NULL and IS MISSING
02:23:04 - Like
02:34:33 - Data Step Processing
02:38:53 - Compilation
02:53:20 - Execution
03:01:10 - MISSOVER
03:18:45 - Question
03:27:38 - Creating SAS datasets from existing SAS Datasets
03:30:048 - Drop and Keep Statements
03:46:14 - Assignment

📕 Read SAS tutorial here: https://intellipaat.com/blog/t....utorial/sas-tutorial

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Why should you watch this what is sas programming training video?

Around 70% of the companies say it is analytics that help them in making business decisions and they also believe they can only analyze mere 12% of the data they have. So this sas tutorial will help you in understanding how to work with data. We are offering the top sas tutorial that can be watched by anybody to learn sas. Our sas tutorial has been created with extensive inputs from the industry so that you can learn sas easily.

Who should watch this sas training tutorial?

If you want to learn sas to become fully proficient and expert in analyzing data then this Intellipaat explanation on sas is for you. This Intellipaat sas tutorial is your first step to learn sas. Since this sas video can be taken by anybody, so if you are a BI professionals, Software developers and architects, Project managers,ETL, SQL, data warehouse and analytics professionals and graduates wanting to enter in Big Data analytics domain then you can also watch this sas tutorial for beginners to take your skills to the next level.

Why sas is important?

It's a powerful analytics tool that is used by enterprises to improve their business performance and analyze data. This SAS training video will provide you with all the right skills to work with spreadsheets, huge sized databases and techniques for debugging.

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Learning sas will help you master all the skills needed in order to analyze huge data in the organization. You will grab the best jobs in top MNCs after finishing Intellipaat sas online training. The entire Intellipaat sas course is in line with the industry needs.There is a huge demand for sas certified professional. The salaries for sas professional are very good. Hence this Intellipaat sas tutorial is your stepping stone to a successful career!
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Machine Learning is the most debated technology of the 21st century. In this machine learning crash course, you will learn about the basics of machine learning and the various applications of machine learning. You will understand the different machine learning algorithms with hands-on demo in Python and get an idea about a machine learning engineer's salary, roles, and responsibilities.

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00:00:00 Basics of machine learning python
00:08:42 Machine learning python vs Deep learning vs Artificial Intelligence
00:12:10 Human vs Artificial Intelligence
00:14:06 What is Machine learning python and Deep Learning all about?
00:26:22 Types of AI and Machine Learning
00:35:12 Application of machine learning
00:40:06 Machine learning Algorithms Classification
01:25:33 what is Clustering
01:26:19 K-means Clustering
01:55:55 Logistic Regression
02:21:26 what is a random forest
02:30:08 How does Random forest work?
03:00:07 Naive Bayes
03:42:35 Machine learning Engineer salary, Roles, and responsibilities
03:42:40 Who is a machine learning engineer
03:43:40 Responsibilities of a Machine Learning Engineer
03:48:03 Sills of a Machine Learning Engineer
03:54:06 Resume of a Machine Learning Engineer

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In many scenarios you need to create more custom training than what model.fit supports and what's great is that we can actually modify how a training step is done inside model.fit and increase the flexibility of training models. In this video I show how this can be done and add more flexibility, then in the next video I will show you how to build custom training loops completely from scratch for scenarios where even more flexibility is needed.

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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TensorFlow Playlist:
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This is a clip from a conversation with Gary Marcus from Oct 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all other days. You can watch the full conversation here: https://www.youtube.com/watch?v=vNOTDn3D_RI
(more links below)

Podcast full episodes playlist:
https://www.youtube.com/playli....st?list=PLrAXtmErZgO

Podcasts clips playlist:
https://www.youtube.com/playli....st?list=PLrAXtmErZgO

Podcast website:
https://lexfridman.com/ai

Podcast on iTunes:
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Podcast on Spotify:
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Podcast RSS:
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Note: I select clips with insights from these much longer conversation with the hope of helping make these ideas more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a few clips every Tue & Fri. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting.

Gary Marcus is a professor emeritus at NYU, founder of Robust.AI and Geometric Intelligence, the latter is a machine learning company acquired by Uber in 2016. He is the author of several books on natural and artificial intelligence, including his new book Rebooting AI: Building Machines We Can Trust. Gary has been a critical voice highlighting the limits of deep learning and discussing the challenges before the AI community that must be solved in order to achieve artificial general intelligence.

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In this project I built a neural network and trained it to play Snake using a genetic algorithm.

Thanks for watching! Subscribe if you enjoyed and Share if you know anyone who would be interested!

GitHub Repo: https://github.com/greerviau/SnakeAI
Twitter: https://twitter.com/greerviau
Support me on Patreon: https://www.patreon.com/greerviau

Thanks to Josh Cominelli for the music!
Soundcloud: https://soundcloud.com/josh-cominelli