Programming, data science, ML - free courses by Big Data Specialist
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01 Free Python Courses, Books and Cheat Sheets
The fundamentals of programming - Python Tutorial
๐จโ๐ซ Teacher: Annyce Davis
๐ฌ 39 short video lessons
๐ Level: beginner
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Course link
Introduction to Python 3 (basics) - Learning to Program with Python 3
๐ฌ 15 lessons
โฐ 2 hours of video + code examples and readings
๐ blogpost for each lesson
๐ Link to course
Introduction To Python Programming
Rating โญ๏ธ: 4.4 out of 5
Students ๐จโ๐ซ: 824,949 students
Duration โฐ: 1hr 39min of on-demand video
Created by: Avinash Jain, The Codex
๐ Course link
Intermediate Python Programming introduction
๐ฌ 28 lessons
โฐ 4.5 hours of video + code examples and readings
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Link to course
Sockets Tutorial with Python 3 part 1 - sending and receiving data
๐ฌ 5 lessons
โฐ 100 minutes of video + code examples and readings
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Link to course
Machine Learning with Python: Zero to GBMs
๐ฌ Watch hands-on coding-focused video tutorials
๐งฎ Practice coding with cloud Jupyter notebooks
๐ป Build an end-to-end real-world course project
๐ Earn a verified certificate of accomplishment
๐ You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world datasets
๐ Course Link
Introduction to Computer Science and Programming in Python
The most common starting point for MIT students with little or no programming experience. This half-semester course introduces computational concepts and basic programming.
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ Lecture videos
๐ Course link
Python for Everybody (PY4E)
by Charles R. Severance (aka Dr. Chuck)
๐ฌ 17 sections with multiple video lessons
๐จโ๐ซ Prof. Dr. Charles R. Severance
โ
Completely free
๐ Course link
Python course by kaggle
Learn the most important language for data science.
๐ฌ 8 lessons
โฐ 5 hours
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Course link
Scientific Computing with Python
Author: Dr. Charles Severance (also known as Dr. Chuck).
๐ฌ 56 lessons
๐ป 5 scientific projects
๐ Free certification
๐ Link to course
Python from scratch
by University of Waterloo
๐ Free Online Course
โณ 13 modules
๐โโ๏ธ Self paced
๐ Course Link
Learn Python PyQt
(Python binding of the cross-platform GUI toolkit Qt, used as a Python module)
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Course link
Python for Beginners
Programming with Python
By Microsoft
Authors: Susan Ibach, GeekTrainer
๐ฌ 44 episodes
โฐ 180 mins
๐ Link to course
Python Programming MOOC
๐ Free Online Course
๐งฎ Problem Sets
โณ 12 modules
๐โโ๏ธ Self paced
๐ถ Assignments with Examples
๐ Link to course
Free Python course by Datacamp
๐ Free Online Course
๐ฌ video lessons
โ
Completely free
interactive code exercises
No registration or download needed:
๐ Link to course
CS50โs Web Programming with Python by Harvard University
โฐ Free Online Course
๐โโ๏ธ Self paced
๐ Course link
Python course by Google
โฐ Free Online Course
๐โโ๏ธ Self paced
No registration or download needed.
๐ Course link
NOC:Programming, Data Structures and Algorithms using Python
โฐ Free Online Course
๐โโ๏ธ Self paced
โ๏ธ 6 weeks
๐จโ๐ซ 45 lectures
๐ Link to course
Additional materials
Books
A list of Python books in English that are free to read online or download
Learn Python the Hard Way
Python for Everybody
Automate The Boring Stuff With Python
Python 3 Patterns, Recipes and Idioms
Clean Architectures in Python
python intro notes
An introduction to Python for absolute beginners
python programming notes
Python Data Science Handbook
Cheat sheets
Python Tutorial -> Condensed Cheatsheet
Python Programming Exercises, 2022., gently explained
python matplotlib
python panda
python basics
python seaborn
Useful Python for data science cheat sheets
python data type cheat sheet
python cheat sheets
GitHub Repositories
Machine Learning University: Accelerated Natural Language Processing Class
Hands on ML notebook series
Machine learning cheat sheet with code
#python #python3
โโโโโโโโโโโโโโ
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02 Data Modeling, The Foundation Of Data | 1 278 | 32 | Loading... |
03 Flutter & Dart for Beginners: Complete Course [2023 Latest]
Learn cross-platform mobile development to build a career as a Flutter Developer
โฐ Free Online Course
๐ฌ video lessons
Rating โญ๏ธ: 4.3 out 5.0
Students ๐จโ๐ : 26257
Duration โฐ : 1hr 41min of on-demand video
Created by ๐จโ๐ซ: Aditya Thakur
๐ Course Link
#flutter #dart #programming
โโโโโโโโโโโโโโ
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04 Free Natuural Language Processing (NLP) Courses
Natural Language Processing for Conversational Interfaces
๐ Free Online Course
๐ฌ video lessons
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hours worth of material
Source: Stanford
๐ Course Link
Natural Language Processing:Concept along with Case Study
๐ Free Online Course
Ratingโญ๏ธ: 4.5 out 5
Students ๐จโ๐ : 7,205
Duration โฐ : 1hr 32min of on-demand video
Teacher ๐จโ๐ซ: Rishi Bansal
๐ Course Link
Introduction to Natural Language Processing
๐ Free Online Course
๐ฌ video lessons
๐โโ๏ธ Self paced
Duration โฐ: 4-5 hours worth of material
Source: Great Learning
๐ Course Link
Natural Language Processing
๐ Free Online Course
Ratingโญ๏ธ: 4.0 out 5
Students ๐จโ๐ : 1315
Duration โฐ : 52min of on-demand video
Teacher ๐จโ๐ซ: Abhinav Raj
๐ Course Link
Training Classifiers with Natural Language Explanations
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: Less than 1 hours of worth of material
Source: Stanford
๐ Course Link
AI4ALL: Natural Language Processing
๐ Free Online Course
Ratingโญ๏ธ: 4.1 out 5
Students ๐จโ๐ : 2,069
Duration โฐ : 1hour of on-demand video
Teacher ๐จโ๐ซ: Yiqiao Yin
๐ Course Link
Natural Language Processing (NLP) and Text Mining Tutorial for Beginners
๐ Free Online Course
Ratingโญ๏ธ: 4.5 out 5
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1 hour worth of material
Source: Simplilearn
๐ Course Link
Sentimental Analysis Using TextBlob
๐ Free Online Course
Ratingโญ๏ธ: 4.5 out 5
Students ๐จโ๐ : 3898
Duration โฐ : 1hr 52min of on-demand video
Teacher ๐จโ๐ซ: Bliva TangerynTech
๐ Course Link
Natural Language Explanations of Deep Networks
๐ Free Online Course
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1+ hour worth of material
Source: MIT
๐ Course Link
Natural Language Processing - Zero to Hero
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: 1+ hours of worth of material
Source: TensorFlow
๐ Course Link
Books
Natural Language Processing with Python
Big Book of NLP Expanded
Natural Language Processing
Introduction to natural language processing
Natural Language Processing
#nlp #NLP #Natural_Language_Processing
โโโโโโโโโโโโโโ
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05 Who's here?ย
We've asked for a free link to a paid channel, for our subs.
x2-x3 Signals here
๐ CLICK HERE TO JOIN ๐
๐ CLICK HERE TO JOIN ๐
๐ CLICK HERE TO JOIN ๐
โ๏ธJOIN FAST! FIRST 1000 SUBS WILL BE ACCEPTED | 837 | 1 | Loading... |
06 #adpost ๐ | 662 | 0 | Loading... |
07 Computer Science I: Programming Methodology
๐ Free Online Course
Duration โฐ: 7-8 hours
๐ป Lecture Videos
๐โโ๏ธ Self paced
Teacher ๐จโ๐ซ : Prof. Mehran Sahami
Source: Stanford
๐ Course Link
#programming #methodolgy
โโโโโโโโโโโโโโ
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08 Pre PLC Programming Course, Before You Start Programming
What you need to know before you start programming. Basics of PLC systems, I/O , numbering systems and basic logic.
โฐ Free Online Course
๐ฌ video lessons
Rating โญ๏ธ: 4.6 out 5.0
Students ๐จโ๐ : 478
Duration โฐ : 1hr 58min of on-demand video
Created by ๐จโ๐ซ: Stephen Marshall
๐ Course Link
#PLC #programming
โโโโโโโโโโโโโโ
๐Join @bigdataspecialist for more๐ | 3 486 | 15 | Loading... |
09 Feel free to request courses on any topic, and we will prepare you list of free courses like this one.
Also we work really hard on our newest free courses web app. It took us 9 months already, but we're confident that once completed, it will be well worth the effort ๐ช๐ | 3 193 | 0 | Loading... |
10 Geometric Learning in Python: Vector Operators | 5 014 | 37 | Loading... |
11 Free Web Scraping Courses
Scrapy Course โ Python Web Scraping for Beginners
๐ Free Online Course
๐ฌ video lessons
๐โโ๏ธ Self paced
Duration โฐ: 4-5 hours worth of material
Source: freecodecamp
๐ Course Link
Data Project with Beautiful Soup - Web Scraping E-Commerce
๐ Free Online Course
Ratingโญ๏ธ: 4.8 out 5
Students ๐จโ๐ : 10,879
Duration โฐ : 1hr 11min of on-demand video
Teacher ๐จโ๐ซ: Alexander Schlee
๐ Course Link
Web Scraping with Python - Beautiful Soup Crash Course
๐ Free Online Course
๐ฌ video lessons
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hours worth of material
Source: freecodecamp
๐ Course Link
Web Scraping Financial News using Python 3
๐ Free Online Course
Ratingโญ๏ธ: 4.8 out 5
Students ๐จโ๐ : 6130
Duration โฐ : 38min of on-demand video
Teacher ๐จโ๐ซ: Bizino Data and Insights Learning .
๐ Course Link
Selenium Course for Beginners - Web Scraping Bots, Browser Automation, Testing (Tutorial)
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: 1+ hours of worth of material
Source: freecodecamp
๐ Course Link
Beautiful Soup in Action - Web Scraping a Car Dealer Website
๐ Free Online Course
Ratingโญ๏ธ: 4.7 out 5
Students ๐จโ๐ : 11693
Duration โฐ : 1hr 12min of on-demand video
Teacher ๐จโ๐ซ: Alexander Schlee
๐ Course Link
Basics of Web Scraping with Beautiful Soup for Beginners
๐ Free Online Course
Ratingโญ๏ธ: 4.4 out 5
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: More than 1 hour worth of material
Source: Simplilearn
๐ Course Link
Web Scraping with Python (Login Required)
๐ Free Online Course
Ratingโญ๏ธ: 4.45 out 5
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1 hour worth of material
Source: Great Learning
๐ Course Link
Smarter Web Scraping with Python + AI
๐ Free Online Course
Ratingโญ๏ธ: 4.7 out 5
Students ๐จโ๐ : 1128
Duration โฐ : 1hr 52min of on-demand video
Teacher ๐จโ๐ซ: Justin Mitchel
๐ Course Link
Requests and Beautiful Soup - Web Scraping Tutorials
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: 1+ hours of worth of material
Source: Code Monkey King
๐ Course Link
Web Data Scraping using Excel VBA
๐ Free Online Course
Ratingโญ๏ธ: 4.6 out 5
Students ๐จโ๐ : 2318
Duration โฐ : 1hr 57min of on-demand video
Teacher ๐จโ๐ซ: Kamal Girdher
๐ Course Link
Web Scraping and Covid 19
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: 1+ hours of worth of material
Source: NCRMUK
๐ Course Link
Books
Web Scraping with Python
Python Web Scraping
Java Web Scraping Handbook
Using BeautifulSoup and Scrapy
#web #scraping #web_scraping
โโโโโโโโโโโโโโ
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12 Mojo Programming Language โ Full Course for Beginners
The Mojo programming language combines the usability of Python with the performance of C. It's basically an enhanced version of Python specifically designed for Artificial Intelligence developers.
๐ Free Online Course
๐ป Lecture Video
โฐ Duration : More than 1 hour
๐โโ๏ธ Self paced
๐ฉโ๐ซ Teacher: elliotarledge
Source : freecodecamp
๐ Course Link
#programming #mojo
โโโโโโโโโโโโโโ
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13 Blueprint: Ace Backtracking/Recursion Interview Problem
Compiled list of Leetcode questions to Ace your Next Interview
โฐ Free Online Course
๐ฌ video lessons
Rating โญ๏ธ: 5.0 out 5.0
Students ๐จโ๐ : 472
Duration โฐ : 1hr 54min of on-demand video
Created by ๐จโ๐ซ: King Of Interviews
๐ Course Link
#recursion #leetcode
โโโโโโโโโโโโโโ
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14 esProc
esProc SPL is a scripting language for data processing, with well-designed rich library functions and powerful syntax, which can be executed in a Java program through JDBC interface and computing independently.
Creator: spl Ware
Stars โญ๏ธ: 4.4k
Forked By: 307
https://github.com/SPLWare/esProc
#esproc
โโโโโโโโโโโโโโ
Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group | 1 | 0 | Loading... |
15 Free Dart Programming Language Courses
Learn The Dart Programming Language
๐ Free Online Course
๐ฌ video lessons
๐โโ๏ธ Self paced
Duration โฐ: 1+ hour worth of material
Source: codemy
๐ Course Link
Dart & Flutter for Beginners: Complete Course
๐ Free Online Course
Ratingโญ๏ธ: 4.3 out 5
Students ๐จโ๐ : 26,371
Duration โฐ : 1hr 41min of on-demand video
Teacher ๐จโ๐ซ: Aditya Thakur
๐ Course Link
Dart Programming Tutorial - Full Course
๐ Free Online Course
๐โโ๏ธ Self paced
๐ฌ video lessons
Duration โฐ: 1-2 hours of worth of material
Source: freecodecamp
๐ Course Link
What is Dart Programming? Everything You Need to Get Started!
๐ Free Online Article
๐โโ๏ธ Self paced
Duration โฐ: More than 1 hour worth of material
Teacher: Akshay Badkar
Source: simplilearn
๐ Course Link
Dart Tutorial
๐ Free Online Course
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hour worth of material
Source: Derek Banas
๐ Course Link
Immutable Data Patterns in Dart and Flutter
๐ Free Online Article
๐โโ๏ธ Self paced
Duration โฐ: Less than 1 hour worth of material
Teacher: MONTY RASMUSSEN
Source: dart academy
๐ Course Link
Dart Programming - Full Beginners Tutorial
๐ Free Online Course
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hour worth of material
Source: Mike Dane
๐ Course Link
Translating DART to Efficient JavaScript
๐ Free Online Course
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hour worth of material
Source: GOTO Conferences
๐ Course Link
Server-Side Dart
๐ Free Online Course
๐ฌ video lesson
๐โโ๏ธ Self paced
Duration โฐ: 1-2 hour worth of material
Source: Creative Bracket
๐ Course Link
Books
Learning Dart
dart programming tutorial
Dart Programming Language Specification
The Dart Programming Language
#dart #programming
โโโโโโโโโโโโโโ
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16 Just so y'all know:
Every time you push code, you appear on this real-time wall at the GitHub headquarter ๐ฅ
PS. you can see this if you scroll to the bottom of github.com as well.
I can't believe i haven't noticed this earlier ๐
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17 Devops and Cloud Certifications Role Based Combos | 4 156 | 40 | Loading... |
18 Data Scientist Roadmap
|
|-- 1. Basic Foundations
| |-- a. Mathematics
| | |-- i. Linear Algebra
| | |-- ii. Calculus
| | |-- iii. Probability
| | `-- iv. Statistics
| |
| |-- b. Programming
| | |-- i. Python
| | | |-- 1. Syntax and Basic Concepts
| | | |-- 2. Data Structures
| | | |-- 3. Control Structures
| | | |-- 4. Functions
| | | `-- 5. Object-Oriented Programming
| | |
| | `-- ii. R (optional, based on preference)
| |
| |-- c. Data Manipulation
| | |-- i. Numpy (Python)
| | |-- ii. Pandas (Python)
| | `-- iii. Dplyr (R)
| |
| `-- d. Data Visualization
| |-- i. Matplotlib (Python)
| |-- ii. Seaborn (Python)
| `-- iii. ggplot2 (R)
|
|-- 2. Data Exploration and Preprocessing
| |-- a. Exploratory Data Analysis (EDA)
| |-- b. Feature Engineering
| |-- c. Data Cleaning
| |-- d. Handling Missing Data
| `-- e. Data Scaling and Normalization
|
|-- 3. Machine Learning
| |-- a. Supervised Learning
| | |-- i. Regression
| | | |-- 1. Linear Regression
| | | `-- 2. Polynomial Regression
| | |
| | `-- ii. Classification
| | |-- 1. Logistic Regression
| | |-- 2. k-Nearest Neighbors
| | |-- 3. Support Vector Machines
| | |-- 4. Decision Trees
| | `-- 5. Random Forest
| |
| |-- b. Unsupervised Learning
| | |-- i. Clustering
| | | |-- 1. K-means
| | | |-- 2. DBSCAN
| | | `-- 3. Hierarchical Clustering
| | |
| | `-- ii. Dimensionality Reduction
| | |-- 1. Principal Component Analysis (PCA)
| | |-- 2. t-Distributed Stochastic Neighbor Embedding (t-SNE)
| | `-- 3. Linear Discriminant Analysis (LDA)
| |
| |-- c. Reinforcement Learning
| |-- d. Model Evaluation and Validation
| | |-- i. Cross-validation
| | |-- ii. Hyperparameter Tuning
| | `-- iii. Model Selection
| |
| `-- e. ML Libraries and Frameworks
| |-- i. Scikit-learn (Python)
| |-- ii. TensorFlow (Python)
| |-- iii. Keras (Python)
| `-- iv. PyTorch (Python)
|
|-- 4. Deep Learning
| |-- a. Neural Networks
| | |-- i. Perceptron
| | `-- ii. Multi-Layer Perceptron
| |
| |-- b. Convolutional Neural Networks (CNNs)
| | |-- i. Image Classification
| | |-- ii. Object Detection
| | `-- iii. Image Segmentation
| |
| |-- c. Recurrent Neural Networks (RNNs)
| | |-- i. Sequence-to-Sequence Models
| | |-- ii. Text Classification
| | `-- iii. Sentiment Analysis
| |
| |-- d. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)
| | |-- i. Time Series Forecasting
| | `-- ii. Language Modeling
| |
| `-- e. Generative Adversarial Networks (GANs)
| |-- i. Image Synthesis
| |-- ii. Style Transfer
| `-- iii. Data Augmentation
|
|-- 5. Big Data Technologies
| |-- a. Hadoop
| | |-- i. HDFS
| | `-- ii. MapReduce
| |
| |-- b. Spark
| | |-- i. RDDs
| | |-- ii. DataFrames
| | `-- iii. MLlib
| |
| `-- c. NoSQL Databases
| |-- i. MongoDB
| |-- ii. Cassandra
| |-- iii. HBase
| `-- iv. Couchbase
|
|-- 6. Data Visualization and Reporting
| |-- a. Dashboarding Tools
| | |-- i. Tableau
| | |-- ii. Power BI
| | |-- iii. Dash (Python)
| | `-- iv. Shiny (R)
| |
| |-- b. Storytelling with Data
| `-- c. Effective Communication
|
|-- 7. Domain Knowledge and Soft Skills
| |-- a. Industry-specific Knowledge
| |-- b. Problem-solving
| |-- c. Communication Skills
| |-- d. Time Management
| `-- e. Teamwork
|
`-- 8. Staying Updated and Continuous Learning
|-- a. Online Courses
|-- b. Books and Research Papers
|-- c. Blogs and Podcasts
|-- d. Conferences and Workshops
`-- e. Networking and Community Engagement | 4 330 | 147 | Loading... |
19 โ THE MOST PRIVATE GROUP โ1 โ
They are robbing Crypto Exchanges for Millions of dollars!
Yesterday profit = 50,000$+
๐ https://t.me/+shrfpKMaEw9jY2Rl
๐ https://t.me/+shrfpKMaEw9jY2Rl
๐ https://t.me/+shrfpKMaEw9jY2Rl
Join fast! First 1000 subs will be accepted! ๐๐ | 1 228 | 1 | Loading... |
20 #adpost ๐ | 1 214 | 0 | Loading... |
21 Data structure and algorithms using C, C++, Java, Python
Learn DSA in languages C, C++, Java, Python, JavaScript and Ruby
โฐ Free Online Course
๐ฌ video lessons
Rating โญ๏ธ: 4.1 out 5
Students ๐จโ๐ : 3163
Duration โฐ : 1hr 52min of on-demand video
Created by ๐จโ๐ซ: Data structure
๐ Course Link
#datastructureandalgorithm #datastructure #python #java #C #cplusplus #dsa
โโโโโโโโโโโโโโ
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22 Top 5 Coding Challenge Platforms for Programmers ๐ฉโ๐ป๐
1. LeetCode
ย ย - URL: https://leetcode.com
ย ย - Description: Enhance problem-solving skills with a vast collection of coding challenges on LeetCode.
2. HackerRank
ย ย - URL: https://www.hackerrank.com
ย ย - Description: HackerRank offers diverse coding challenges for algorithm, data structure, and language proficiency improvement.
3. CodeSignal
ย ย - URL: https://codesignal.com
ย ย - Description: CodeSignal provides coding challenges and assessments to enhance coding skills for interviews and practice.
4. Codewars
ย ย - URL: https://www.codewars.com
ย ย - Description: Codewars engages developers in creative problem-solving through kata challenges, fostering skill development.
5. Exercism
ย ย - URL: https://exercism.io
ย ย - Description: Exercism offers coding exercises in various languages, providing mentorship and community support.
โก๏ธ Give Reactions ๐ค | 4 576 | 86 | Loading... |
23 Free Generative AI Courses
Generative AI Google Cloud Free Courses
Introduction to Generative AI
Introduction to Generative AI Studio
Introduction to Responsible AI
12 days of no-cost training to learn generative AI
Generative AI Mastery for Business
Ratingโญ๏ธ: 4.3 out 5
Students ๐จโ๐ : 927
Duration โฐ :1hr 42min
Teacher ๐จโ๐ซ: ElectroNeek RPA and AI Platform
๐ COURSE LINK
Generative-ai-for-beginners
18 Lessons
Duration โฐ: More than 1 hour worth of material
๐โโ๏ธ Self paced
Source: Microsoft
๐ Course Link
Introduction to Generative AI in 1 hour - Open to all
Ratingโญ๏ธ: 4.2 out 5
Students ๐จโ๐ : 688
Duration โฐ : 52 min
Teacher ๐จโ๐ซ: GATE by Moyyn
๐ COURSE LINK
Generative AI Course
๐ฌ 150 video lesson
๐งโ๐ซTeacher: Goyashy AI
๐โโ๏ธ Self paced
Source: YouTube
๐ Course Link
Introduction to Generative AI Studio
Ratingโญ๏ธ: 4.5 out 5
Duration โฐ: 1 hour of worth of material
๐โโ๏ธ Self paced
Source: simplilearn
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Generative AI Fundamentals (Login Required)
๐ฌ video lessons
Duration โฐ: 1-2 hours worth of material
๐โโ๏ธ Self paced
Source: databricks
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Books
Principles of Generative AI A Technical Introduction
Generative AI
Generative AI for Strategy & Innovation
How to Use Generative AI for Real Work
#Generative_AI #AI
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In this video, Annyce provides a walkthrough of the course and a very special welcome.
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Karthik Raghunathan and Arushi Raghuvanshi Cisco Systems March 13, 2019 Conversational applications often are over-hyped and under perform. While there's been significant progress in Natural Language Understanding (NLU) in academia and a huge growing market for voice based technologies, NLU performance significantly drops when you introduce language with typos or other errors, uncommon vocabulary, and more complex requests. This talk will cover how to build a production quality conversational app that performs well in a real world setting. We will demonstrate an end-to-end approach for consistently building conversational interfaces with production-level accuracies that has proven to work well for a number of applications across diverse verticals. Building successful conversational interfaces involves choosing the right use case, collecting clean and relevant data, and breaking down the NLU problem into a series of solvable sub-tasks. All of today's most widely used conversational services have been built using a similar hierarchical NLU pipeline of domain-intent-entity classification that has become an industry standard, which we will discuss in detail. Our architecture further improves on this standard domain-intent-entity classification and dialogue management architecture by leveraging shallow semantic parsing. We observed that NLU systems for industry applications often require more structured representations of entity relations than provided by the standard hierarchy, yet without requiring full semantic or syntactic parses which are often inaccurate on real-world conversational data. We describe our approach and demonstrate how it improves the performance of conversational interfaces for non-trivial use cases. We end the talk by discussing the additional challenges in building a voice assistant rather than a text-based chatbot. Large vocabulary domain-agnostic Automatic Speech Recognition (ASR) systems often mis-transcribe domain-specific words and phrases. Since these generic ASR systems are the first components of most voice assistants in production, building NLU systems that are robust to these errors can be a challenging task. We describe a few potential methods for handling ASR errors in the NLU pipeline, especially in the entity classification and resolution component which is most susceptible to poor performance from ASR errors. After this talk, attendees will have a better appreciation for the challenges and nuances of building real-world NLU systems, as well as a high level understanding of the best practices and components needed to build their own production quality conversational assistant. 0:00 Introduction 3:35 Cisco Webex: Meetings, Messaging, Calling, Devices 6:33 Face Detection 7:46 Intelligent framing for clearer communication 8:23 Face Recognition 8:57 Noise Suppression 17:03 Building production-quality conversational assistants is one of today's hardest Al challenges 19:30 With recent NLP advancements, why is building a production level conversational app so hard? 21:55 Selecting the right use case is essential 24:55 Conversational data is often collected via crowdsourcing tools 27:48 Key steps in a modern conversational application 28:34 Voice based conversational applications 28:58 Automatic Speech Recognition 31:15 Domain Classifier assigns the user query to a pre-defined domain 32:22 Domain Classification 32:53 Intent Classifier determines the user intent 34:08 Intent Classification 34:23 Entity Recognizer detects all relevant entities in the user query 35:35 Entity Recognition 45:12 Role Classifier assigns role labels to extracted entities 49:11 Role Classification 49:27 Entity Resolver transforms each extracted entity into its canonical form 51:41 Entity Resolution - Textual Features 52:28 Entity Resolution - Phonetic Features 56:00 Entity Resolution - Personalization Features 56:53 Entity Resolution on Noisy Voice Transcripts 58:16 Language Parser clusters extracted entities into meaningful entity groups
Computer Science I: Programming Methodology free online course video tutorial by Stanford.You can download the course for FREE !
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