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This video, "Cybersecurity or Cloud Computing: Which Is the Better Career" by Simplilearn, will clear your doubts if you are confused about choosing a career between cybersecurity and cloud computing. This video will give you a brief introduction to both technologies, along with the resources to master them. Below are the topics we have covered in this video.
00:00 Cybersecurity or Cloud Computing: Which Is the Better Career
01:19 Introduction To Cybersecurity
01:49 Introduction To Cloud Computing
02:21 Reasons To Learn Cybersecurity
03:49 Reasons To Learn Cloud Computing
05:17 Post Graduate Program In Cybersecurity
06:20 Post Graduate Program In Cloud Computing
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#CybersecurityorCloudcomputing #CloudComputingorCybersecurity #Cybersecurity #CloudComputing #CybersecurityandCloudcomputing #CloudcomputingandCybersecurity #Simplilearn
✅ Watch Top Trending Videos From Simplilearn:
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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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- 8X higher engagement in live online classes by seasoned academics and industry professionals
- & More
✅ Skills Covered:
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural Language Processing
- Ensemble Learning
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep....-learning-with-tenso (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Recurrent Neural Networks tutorial video (Blog: https://goo.gl/4zxMfU) 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. The last section includes a use-case of LSTM to predict the next word using a sample short story
00:00:00 Introduction
00:00:20 Agenda
00:00:50 Why not Feedforward Networks
00:03:19 What is Recurrent Neural Networks
00:08:25 Vanishing Gradient
00:11:40 Exploding Gradient
00:12:08 How to overcome these Challenges?
00:12:44 Long Short term memory networks
00:21:23 Long Short term memory Networks Use-case
00:29:42 Session in a Minute
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast of the latest cyber security trends.
✅ Features of Post Graduate Program in Cyber Security
- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
- Featuring Modules from MIT SCC and EC-Council
- 8X higher interaction in live online classes conducted by industry experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry case studies in cyber security
- 1MIT CSAIL Professional Programs Community
- Capstone project in 3 domains
- 25+ hands-on projects
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- A bachelor's degree with an average of 50% or higher marks
- May have a non-programming background
- Are not required to have prior work experience
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#CyberSecurity #CyberSecurityCourse #CyberSecurityFundamentals #Simplilearn
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 3 of that workshop.
In this, we cover the following four aspects:
1. 00:00 Recap of the SLM architecture
2. 18:30 Calculating the SLM Loss
3. 58:27 SLM Pre-training loop: Theory + Coding
4. 01:23:00 SLM Inference
If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-
Next: Your first AI Employee: https://youtu.be/jYbzKYwdy24
In this video, I break down what Agentic AI really is, beyond the hype and buzzwords. While most people think of AI as just chatbots like ChatGPT, the next evolution - Agentic AI - is quietly transforming how we interact with technology.
I explain in simple terms how Agentic AI systems can actually take initiative, complete complex tasks autonomously, and solve problems without constant human guidance. You'll understand the key differences between reactive AI tools and truly agentic systems that can plan, adapt, and achieve goals.
Whether you're a developer, business leader, or just curious about AI's future, this concise explanation gives you the foundation to understand why Agentic AI represents such a significant leap forward in artificial intelligence.
#AgenticAI #ArtificialIntelligence #AIExplained #FutureOfAI #AgentBasedAI #AITechnology #TechTrends #MachineLearning #BusinessAI #AIAgents
Emil Björnson explains the basics of supervised deep learning and two useful applications of it in the physical layer of communication systems.
If you want to learn more, you can read "Two Applications of Deep Learning in the Physical Layer of Communication Systems" by Emil Björnson and Pontus Giselsson (https://arxiv.org/pdf/2001.03350)
In Application 1, the following paper is used as an example:
Trinh Van Chien, Emil Björnson, Erik G. Larsson, “Sum Spectral Efficiency Maximization in Massive MIMO Systems: Benefits from Deep Learning,” IEEE International Conference on Communications (ICC), 2019. https://arxiv.org/pdf/1903.08163.pdf
In Application 2, the following paper is used as an example:
Özlem Tugfe Demir, Emil Björnson, “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” IEEE Open Journal of the Communications Society, 2020. https://arxiv.org/pdf/1911.07316.pdf
Animals are what make our world so special. Enjoy this 4K Scenic Wildlife film featuring over 130 animal species from every single continent. From Bengal Tigers in Asia, to Emperor Penguins in Antarctica, there is fascinating wildlife in every part of the world. What is your favorite animal?
Our other Wildlife films:
The Arctic 4K - https://youtu.be/hMMnnYX_y28
The Ocean 4K - https://youtu.be/eoTpdTU8nTA
Wildlife of Africa 4K - https://youtu.be/b_jkVx4wyrE
African Safari 4K - https://youtu.be/P8frC_cLLD4
The Amazon 4K - https://youtu.be/NHo_x7aGGmU
Birds of the World 4K - https://youtu.be/6R8C8BSdMds
Animals of America 4K - https://youtu.be/-bWVoyw9OU8
Animals of Asia 4K - https://youtu.be/KfjIaEP0EtY
Animals 4K - https://youtu.be/pb-j3svRQLI
Follow us on instagram @scenicrelaxationfilms
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Free stock footage, guides & luts - https://sellfy.com/ryanshirley
Timestamps:
0:00 - Animals of the World
10:23 - Wildlife of Asia (Tigers, Pandas, Orangutans, etc)
14:50 - Animals of South & Central America (Jaguars, Tapirs, Toucans, etc)
19:32 - North American Wildlife (Grizzly Bears, Bighorn Sheep, etc)
22:23 - Animals of Europe (Ibex, Red Deer, Iberian Bear)
24:15 - Wildlife of Australia & New Zealand (Kangaroo, Cassowary,)
26:03 - African Animals (Lions, Leopards, Hippos, Elephants)
32:49 - Ocean Wildlife (Dolphins, Blue Whale, Sharks)
35:42 - Arctic & Siberia (Amur Leopard, Siberian Tiger, Polar Bear)
39:26 - Antarctica (Penguins, Leopard Seals)
41:34 - Desert Wildlife (Camels, Oryx, Sidewinder)
45:21 - Big Cats (Snow Leopard, Cheetah, Tiger)
48:38 - Monkeys of the World
51:53 - The Animal Kingdom
Thanks for watching :)
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Alabanza "Job" interpretada por Gladys Muñoz, perteneciente al sencillo "Job".
Autor y Compositor : Delino Marçal
Traducción al español: Gladys Muñoz
Producción Musical y Arreglos: Esteban Alvarado
Batería: Jimmy Zambrano
Bajo: Antonio Mondaca
Guitarras Eléctricas: Carlos Cabrera
Guitarras Acústicas: Esteban Alvarado
Teclados y Programing: Esteban Alvarado
Arreglos y Grabación de Coros: Cristian Morales
Producción General, Grabación y Mezcla : Rodrigo Carrasco
Mastering: Chalo Gonzalez en Estudios GMasters
Realización Audiovisual: Roy Vargas
Peinados y Asistencia : Isabel Orrego Toloza
℗ Solo por Gracia Producciones
#Job. #GladysMuñoz