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Will cover all the below-given topics required for a complete Data Science Tutorial:
0. Introduction (0:00)
1. Data Science basics (01:28)
2. What is Data Science (05:51)
3. Need for Data Science (06:38)
4. Business intelligence vs Data Science (17:30)
5. Prerequisites for Data Science (22:31)
6. What does a Data Scientist do? (30:23)
7. Demand for Data Scientist (53:03)
8. Linear regression (2:30:10)
9. Decision trees (2:53:39)
10. Logistic regression in R (3:09:12)
11. What is a decision tree? (3:27:04)
12. What is clustering? (4:35:40)
13. Divisive clustering (4:51:14)
14. Support vector machine (5:17:21)
15. K-means clustering 96:44:13)
16. Time series analysis (7:33:05)
17. How to Become a Data Scientist (8:26:54)
18. Job roles in Data Science (8:30:59)
19. Simplilearn certifications in Data Science (8:33:50)
20. Who is a Data Science engineer? (8:34:34)
21. Data Science engineer resume (9:00:04)
22. Data Science interview questions and answers (9:04:42)

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➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

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✅ Skills covered:-
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- Descriptive Statistics
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- Supervised and unsupervised learning
- Natural Language Processing
- Ensemble Learning

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🔥Edureka Cybersecurity Online Training: https://www.edureka.co/cyberse....curity-certification
This Edureka video on "Application Security" will help you understand what application security is and measures taken to improve the security of an application often by finding, fixing, and preventing security vulnerabilities.

Cybersecurity Training Playlist: https://bit.ly/2NqcTQV

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About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

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Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

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Objectives of Edureka Cyber Security Course

This course is designed to cover a holistic & a wide variety of foundational topics of the cybersecurity domain which will be helpful to lead freshers as well as IT professional having 1 to 2 years of experience, into the next level of choice such as ethical hacking/ audit & compliance / GRC/ Security Architecture and so on.

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Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in the Cybersecurity technology. However, Cybersecurity Certification Course is best suited for the below mentioned profiles:-
Networking Professionals
Linux Administrators

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In this video on Large Language Models Explainedwe will go through the basic understanding of what is large language model(LLM) in machine learning. In this machine learning video, we will cover topics like what is LLM, how large language model works, applications of large language models, and many more.
Below are the topics covered in this video:-
00:00 Large Language Models Explained
02:50 What are Large Language Models?
04:03 What are Large Language models used for?
04:27 How LLM trained
07:12 Applications of Large Language Models

🔵What are the large language models?
Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), are advanced artificial intelligence systems designed to understand and generate human-like text. These models are built using deep learning techniques and have been trained on vast amounts of text data from the internet.

🔵What are large language models used for?

Large language models are utilized in scenarios where there is limited or no domain-specific data available for training. These scenarios include both few-shot and zero-shot learning approaches, which rely on the model's strong inductive bias and its capability to derive meaningful representations from a small amount of data or even no data at all.

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➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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- ChatGPT
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