🔵 Intellipaat Business Analytics course: https://intellipaat.com/pg-cer....tification-business-

🔵 Free Data Science Complete Course- https://youtu.be/a5KmkeQ714k

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🔵 Intellipaat Business Analyst Training: https://intellipaat.com/business-analyst-training/
In this business analyst video, you will learn what business analysis is, the Business Analytics process, the difference between business analysts and data analysts, Top tools in business analytics, various roles of business analysts in the organization, Risk management, CBAP Certification, and what are the top business analyst skills required in the organization, and lastly business analyst interview questions. This Business Analyst Tutorial For Beginners is a must-watch video for everyone who wishes to learn business analytics and make a career in it.

#BusinessAnalystTraining #BusinessAnalystFullCourse #BusinessAnalyst #BusinessAnalyticsTraining #BusinessAnalyticsCourse #Intellipaat

00:00 - Business Analyst Training
01:40 - What is Business Analysis?
02:02 - Business process Automation
03:08 - Competencies of Business Analyst
06:24 - Companies Based on Function
09:57 - The IT Project Structure for Professionals
11:54 - Pre-Project Activity
15:19 - What is Business Analysis?
16:19 - Why is Business Analysis important?
19:06 - Role of a Business Analyst
25:22 - Responsibilities of Business Analyst
28:46 - Project manager vs Business Analyst
36:00 - IIBA
39:24 - What is the Business Analysis Body of Knowledge?
42:25 - Structure of BABOK
45:45 - Knowledge Areas of BABOK
53:03 - Key Concepts of BABOK
56:10 - Software Development Life Cycle(SDLC)
59:30 - Requirement Analysis
01:04:59 - Planning & Monitoring
01:09:50 - Steps Involved in Planning & Monitoring
01:15:05 - Relationship Between Knowledge Areas
01:17:54 - Planning Stakeholder Engagement
01:21:07 - Planning the Business Analysis Approach
01:25:24 - Planning the Stakeholder Approach
01:30:48 - Planning Governance & Information Management
01:40:39 - Business Analysis Performance Improvements
01:46:10 - Elicitation & Collaboration
02:02:48 - Problem
02:07:34 - Types of Requirements gathering
02:57:42 - Risk Management
03:15:15 - Types of Risks
03:58:35 - What is the need for CBAP Certification?
04:02:01 - What is Business Analysis
04:09;09 - Why do we need Business Analysis?
04:12:11 - Types of Certifications for BA Professionals
04:12:27 - ECBA
04:14:58 - CCBA
04:17:42 - CBAP
04:21:00 - Business Analyst vs Data Analyst
04:33:33 - How to start a Career in Business Analytics
04:35:07 - Average Salary: Business Analyst
04:36:22 - Career Paths: Business Analyst
04:52:32 - Business Analysis Tools
04:54:52 - Responsibilities of a Business Analyst
05:02:36 - Is Business Analytics Right for You?
05:04:32 - Business Analysis Technical Concepts
05:20:43 - Water Fall Model
05:38:18 - BRD Template
05:40:35 - SRS Template
05:40:59 - Project Management
06:38:40 - Business Analyst Interview Questions and Answers

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🔵 Why should you watch this business analyst training for beginners video?

There is an immense requirement for business analyst professionals across industry verticals. The rate at which this business analysis domain is growing is amazing. A lot of organizations are looking for business analysts to take care of the business in general. So this business analyst tutorial will help you in understanding how to work with data. We are offering the top business analyst tutorial that can be watched by anybody to learn business analyst. Our business analyst tutorial has been created with extensive inputs from the industry to learn business analysts easily.

🔵 Who should watch this business analyst training tutorial?

If you want to learn business analyst to become fully proficient and expert in analyzing data, this Intellipaat explanation of business analyst is for you. This Intellipaat business analyst tutorial is your first step to learn business analyst. Since this business analyst video can be taken by anybody, if you are a Business professional, project manager, solution architects, developers, and system analyst, you can also watch this business analyst tutorial for beginners to take your skills to the next level.

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Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.

Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.

For course details, visit: https://ineuron.ai/course/gene....rative-ai-community-

⌨️ (00:00:00) DAY 1: Introduction to Generative AI Community Course
⌨️ (01:44:14) DAY 2: Introduction to OpenAI and understanding the OpenAI API
⌨️ (03:37:49) DAY 3: Introduction to LangChain
⌨️ (05:16:48) Day 4: Hugging Face API + Langchain
⌨️ (07:13:08) DAY 5: Memory in Langchain
⌨️ (09:07:53) DAY 6: LLM Generative AI Project using OpenAI & LangChain
⌨️ (11:03:29) DAY 7: LLM Generative AI Project & Deployment
⌨️ (13:09:02) DAY 8: Introduction to Vector Database for AI & LLM
⌨️ (14:52:41) DAY 9: Mastering Vector Databases with Pinecone
⌨️ (17:02:19) DAY 10: Mastering ChromaDB Vector Databases
⌨️ (19:04:25) DAY 11: Introducing Meta Llama 2
⌨️ (20:54:33) DAY 12: End to End Medical Chatbot Project, Part 1
⌨️ (22:36:05) DAY 13: End to End Medical Chatbot Project, Part 2
⌨️ (24:22:10) Generative AI: Everything You need to know about Gemini Pro LLM Models
⌨️ (26:16:33) End to End Gen AI Project using Google Gemini Pro
⌨️ (28:24:14) Webinar - Generative AI Revolution: The Future

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🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat

This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.
00:00:00 Agenda
00:01:10 What is Classification
00:01:45 Classification vs Regression
00:02:18 Types of Classification Algorithms
00:02:33 Understanding Random Forest
00:02:38 What is Random Forest
00:03:12 Why Random Forest
00:03:31 Terminology Alert-What is Ensemble Learning
00:08:15 Ensemble Mode- Bagging
00:09:20 Ensemble Mode Technology Alert- Boosting
00:10:21 Random Forest Analogy
00:13:40 What is Random Forest
00:14:05 Creating a Random Forest: Steps Involved
00:14:48 Step 1: Creating a Bootstrap Dataset
00:15:49 Stewp2:Create Decision Tree: Bootstrapped Dataset
00:17:07 Step 3 & 4: Counting the votes for predicting
00:17:21 How Good is your Model
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#Edureka #PythonEdureka #RandomForestAlgorithm #pythonMachineLearning #pythonTraining #Python

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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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.

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

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on the " Machine Learning Road Map" will help you understand what steps you need to take to become a Machine Learning Engineer. You will also learn what tools to learn and explore different case studies for the same. Following pointers are covered in this video on Machine Learning Roadmap in 2021:
00:00:00 Introduction To Machine Learning
00:06:00 Machine Learning Road Map
00:08:16 Tools For Machine Learning
00:10:46 Case Studies
00:11:12 Carrier Opportunities

🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
🔹Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF
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#Edureka #EdurekaMachineLearning #MachineLearningRoadmap #MachineLearningCareer
#MachineLearningTraining #MachineLearningTutorial #MachineLearning #DataScience #EdurekaTraining
--------------------------

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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!

- - - - - - - - - - - - - -

How does it work?

1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 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 be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:

Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modelling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

- - - - - - - - - - - - - - - - - - -

Why learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behaviour from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enroll in the Machine Learning online course.

🔥 Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

Check our complete Data Science playlist here: https://bit.ly/2KEEFdf
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#Edureka #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience
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How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

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This Machine Learning with Python tutorial gives an introduction to Machine Learning and how to implement Machine Learning algorithms in Python. By the end of this video, you will be able to understand Machine Learning workflow, steps to download Anaconda, types of Machine Learning and hands-on in Python for Linear Regression and K-Means clustering algorithms.


Below are the topics covered in this Machine Learning tutorial:
1. Why Machine Learning? ( 01:09 )
2. Applications of Machine Learning ( 01:50 )
3. How does Machine Learning work? ( 03:33 )
4. Machine Learning Workflow ( 04:53 )
5. Steps to download Anaconda ( 06:13 )
6. Types of Machine Learning ( 09:53 )
7. Linear Regression Demo ( 13:51 )
8. K-Means Clustering Demo ( 26:02 )
9. Use Case - Weather Analysis ( 39:27 )

What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

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You can also go through the Slides here: https://goo.gl/AMDVtD

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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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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
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- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
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- And Many More…

👉 Learn More At:




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In this ChatGPT in Cybersecurity video, we delve into the role of ChatGPT in the realm of cybersecurity. Discover how this powerful language model assists in threat detection, vulnerability assessment, and incident response. Gain insights into the innovative ways ChatGPT is shaping the future of cybersecurity. Join us to explore the fascinating intersection of AI and cybersecurity.

Here in this ChatGPT in Cybersecurity video, we start with:

00:00 INtroduction to Cyberrsecurity and Artificial Intelligence
02:11 What is ChatGPT?
02:49 Uses of ChatGPT in Cybersecurity
08:12 Hands on Lab Demonstration

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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

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- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
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- Industry case studies in cyber security
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- 25+ hands-on projects
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✅ Skills Covered

- Advanced Hacking Concepts
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- Identity and Access Management
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- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

Machine Learning es una de las ramas de la Inteligencia Artificial que está revolucionando el mundo, ChatGPT, GPT3, Dalle2, miniDalle, Stable Diffusion, MidJourney, alguna de estas IAs te sonarán pero seguro que aparte de saber que son IA, no sabes cómo aprenden. Échate unas risas y aprende conmigo qué es el ML y las 3 ramas principales del ML: Aprendizaje Supervisado, Aprendizaje No Supervisado y Aprendizaje por Refuerzo.

· Apoya este proyecto:
Patreon: https://www.patreon.com/bitboss

· Sígueme por redes:
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TikTok: https://www.tiktok.com/@bitboss0
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#machinelearning #ias #inteligenciaartificial

🔥Edureka Business Intelligence Masters Training: https://www.edureka.co/masters....-program/business-in
This Edureka Business Intelligence Full Course video will help you understand and learn the fundamentals concepts of Tableau and Power BI. This Business Intelligence training video is ideal for both beginners as well as professionals who want to master the fundamentals of Tableau and Power BI. Topics covered
what is BI? - 00:02:44
Quiz - 06:54:28
How to Become a Business Intelligence Analyst? - 00:07:23
Data Warehousing and BI - 00:22:30
Quiz - 01:50:29
Data Warehouse Concepts - 01:50:51
Excel for Beginners - 02:28:25
Quiz - 02:44:23
Excel Formulas and Functions - 02:44:39
Quiz - 03:12:40
VLOOKUP in Excel - 03:12:59
Quiz - 03:31:53
Excel Pivot Tables - 03:32:07
Quiz - 03:47:42
Advanced Excel - 03:48:05
Quiz - 04:18:21
Power BI for Beginners - 04:18:44
How to Build Power BI Dashboards - 05:19:34
Power Query - 05:45:16
Data Visualization Using Power BI Desktop - 06:16:21
Introduction to Tableau - 06:30:48
Getting Started with Tableau - 06:34:09
Quiz - 06:44:09
Tableau vs QlikView - 06:44:30
What is Tableau Server? - 06:57:41
Tableau Online - 07:07:57
Top 5 BI Tools - 07:58:17
Power BI vs MSBI - 08:04:38
Data Warehouse Interview Questions and Answers - 08:13:57
BI Analyst Interview Questions & Answers - 09:33:37

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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


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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In this video, we are going to learn how to install Microsoft Copilot on a Mac! Microsoft Copilot is an AI-powered assistant designed to enhance your productivity across various Microsoft 365 applications. Copilot provides intelligent suggestions and automations to streamline your workflow.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Python, and more. Join masterclasses led by IITG faculty , and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
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Electives:
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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.
Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI tools, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=VideoID&utm_medium=Description&utm_source=Youtube

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Time Stamps:
00:00:00 — Introduction
00:02:57 — What's n8n?
00:04:44 — How to use it
00:12:42 — Core concepts
00:28:38 — Integrations
00:37:17 — AI Agents
00:39:06 — Inbox Manager overview
00:49:53 — Categorize new Emails
01:03:37 — Create issue tasks
01:22:38 — Generate draft replies

Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot story for a chance to be featured in an upcoming video!

In this video, you'll learn how to build an AI agent
from scratch in Python. I'll walk you through everything step-by-step. This will be very beginner friendly,
and you'll learn how to make something quite interesting in Python
with some popular frameworks like LangChain. I'll show you how to use various
LLMs like Claude or GPT, how you can give the agent access to various tools, and how you can structure the output of the agent
so you can use it in your code.

🎞 Video Resources 🎞
Code in this video: https://github.com/techwithtim..../PythonAIAgentFromSc
Learn Python Virtual Environments: https://www.youtube.com/watch?v=Y21OR1OPC9A
Get Your Anthropic API Key: https://console.anthropic.com/settings/keys
Get Your OpenAI API Key: https://platform.openai.com/api-keys

⏳ Timestamps ⏳
00:00 | Overview
00:35 | Agent Demo
01:38 | Setup/Requirements
06:53 | Basic Code Setup/Imports
08:37 | Using Claude or GPT
10:00 | Getting Your API Key
11:32 | Basic LLM Functionality
12:43 | Structured Output/Models
15:42 | Prompt Templates
17:33 | Creating & Running the Agent
21:00 | Output Parsing
23:39 | Adding Prebuilt Tools
30:48 | Custom Tool Calling

Hashtags
#CodingWithCopilot #Sponsored

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🖱️Links mentioned in video
========================

🔗Affiliates
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My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
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🎥 My filming setup
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⏰Timestamps
========================
00:00 intro

📲Socials
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instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.

*We discuss:*
1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month
2. The counterintuitive product principles that drove Claude Code’s success
3. Why Boris believes coding is “solved”
4. The latent demand that shaped Claude Code and Cowork
5. Practical tips for getting the most out of Claude Code and Cowork
6. How underfunding teams and giving them unlimited tokens leads to better AI products
7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks
8. Three principles Boris shares with every new team member

*Brought to you by:*
DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny
Sentry—Code breaks, fix it faster: https://sentry.io/lenny
Metaview—The AI platform for recruiting: https://metaview.ai/lenny

*Episode transcript:* https://www.lennysnewsletter.c....om/p/head-of-claude-

*Archive of all Lenny's Podcast transcripts:*
https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

*Where to find Boris Cherny:*
• X: https://x.com/bcherny
• LinkedIn: https://www.linkedin.com/in/bcherny
• Website: https://borischerny.com

*Where to find Lenny:*
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Boris and Claude Code
(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)
(05:35) One year of Claude Code
(08:41) The origin story of Claude Code
(13:29) How fast AI is transforming software development
(15:01) The importance of experimentation in AI innovation
(16:17) Boris’s current coding workflow (100% AI-written)
(17:32) The next frontier
(22:24) The downside of rapid innovation
(24:02) Principles for the Claude Code team
(26:48) Why you should give engineers unlimited tokens
(27:55) Will coding skills still matter in the future?
(32:15) The printing press analogy for AI’s impact
(36:01) Which roles will AI transform next?
(40:41) Tips for succeeding in the AI era
(44:37) Poll: Which roles are enjoying their jobs more with AI
(46:32) The principle of latent demand in product development
(51:53) How Cowork was built in just 10 days
(54:04) The three layers of AI safety at Anthropic
(59:35) Anxiety when AI agents aren’t working
(01:02:25) Boris’s Ukrainian roots
(01:03:21) Advice for building AI products
(01:08:38) Pro tips for using Claude Code effectively
(01:11:16) Thoughts on Codex
(01:12:13) Boris’s post-AGI plans
(01:14:02) Lightning round and final thoughts

*Referenced:*
• Cursor: https://cursor.com
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Anthropic: https://www.anthropic.com
• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next
• Claude Code Is the Inflection Point: https://newsletter.semianalysi....s.com/p/claude-code-
• Spotify says its best developers haven’t written a line of code since December, thanks to AI: https://techcrunch.com/2026/02..../12/spotify-says-its
• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann
• Haiku: https://www.anthropic.com/claude/haiku
• Sonnet: https://www.anthropic.com/claude/sonnet
• Opus: https://www.anthropic.com/claude/opus
• Jenny Wen on X: https://x.com/jenny_wen
• Johannes Gutenberg: https://en.wikipedia.org/wiki/Johannes_Gutenberg
• Anthropic jobs: https://www.anthropic.com/careers/jobs
• Lenny’s AI poll post on X: https://x.com/lennysan/status/2020266745722991051
• Fiona Fung on LinkedIn: https://www.linkedin.com/in/fionafung
• Brandon Kurkela on LinkedIn: https://www.linkedin.com/in/bkurkela
• Cowork: https://www.anthropic.com/webinars/future-of-ai-at-work-introducing-cowork
• Chris Olah on X: https://x.com/ch402
• The Bitter Lesson: http://www.incompleteideas.net..../IncIdeas/BitterLess
...References continued at: https://www.lennysnewsletter.c....om/p/head-of-claude-

_Production and marketing by https://penname.co/._
_For inquiries about sponsoring the podcast, email [email protected]._

Lenny may be an investor in the companies discussed.