Related Skills
Related Skills
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[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
Basic / Python, Machine Learning(ML), Statistics
4.9
(496)
We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.
Basic
Python, Machine Learning(ML), Statistics
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
Basic / Python, Machine Learning(ML), Statistics
4.9
(496)
Mathematics for Game Development (PART 1)
eazuooz
Basic / C++, Linear Algebra, game-math
5.0
(19)
This course makes it easy to learn the essential mathematical concepts used in games. People who are already proficient in math often take this knowledge for granted, making it difficult for them to teach from a beginner's perspective. This course assumes you have no prior knowledge and explains everything from the viewpoint of a complete beginner or non-major.
Basic
C++, Linear Algebra, game-math
Mathematics for Game Development (PART 1)
eazuooz
Basic / C++, Linear Algebra, game-math
5.0
(19)
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
Intermediate / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.
Intermediate
Apache Spark, Machine Learning(ML), Big Data
Spark Machine Learning Complete Guide - Part 1
dooleyz3525
Intermediate / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(29)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
Intermediate / Machine Learning(ML), Kaggle
4.9
(78)
This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.
Intermediate
Machine Learning(ML), Kaggle
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
Intermediate / Machine Learning(ML), Kaggle
4.9
(78)
Hands-on! Building Deep Learning-Based Recommender Systems
YoungJea Oh
Intermediate / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.5
(10)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Develop your practical skills for recommendation service development by learning various recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid recommendation systems!
Intermediate
Python, Machine Learning(ML), Deep Learning(DL)
Hands-on! Building Deep Learning-Based Recommender Systems
YoungJea Oh
Intermediate / Python, Machine Learning(ML), Deep Learning(DL), Tensorflow, Recommendation System
4.5
(10)
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
Until Tomorrow
23%
$33.00Intermediate / Python, openai, multimodal, AI, transformer
4.8
(107)
Understand the operating principles of generative AI models using deep learning and acquire practical application skills through hands-on exercises.
Intermediate
Python, openai, multimodal
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
Until Tomorrow
23%
$33.00Intermediate / Python, openai, multimodal, AI, transformer
4.8
(107)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
3 Days Only
23%
$33.00Basic / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(4)
JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.
Basic
Machine Learning(ML), Deep Learning(DL), JavaScript
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
3 Days Only
23%
$33.00Basic / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(4)
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
3 Days Only
25%
$6.60Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(44)
You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.
Beginner
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
3 Days Only
25%
$6.60Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(44)
MLflow with Silicon Valley Engineers
altoformula
Beginner / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.8
(26)
Are you still managing ML experiments manually? 🤔 Automate everything from experiment tracking to model deployment with MLflow, and dramatically boost your development productivity! An essential skill for data scientists and ML engineers 💡 Start right now! 🚀
Beginner
mlflow, Machine Learning(ML), mlops
MLflow with Silicon Valley Engineers
altoformula
Beginner / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.8
(26)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
Intermediate / Machine Learning(ML), Deep Learning(DL)
4.6
(26)
Do you know the theory but feel lost when applying it to real-world data? I will pass on practical techniques to solve complex fraudulent transactions directly with code, incorporating my professional know-how.
Intermediate
Machine Learning(ML), Deep Learning(DL)
Hands-on! Machine Learning/Deep Learning Fraud Detection Master Class
YoungJea Oh
Intermediate / Machine Learning(ML), Deep Learning(DL)
4.6
(26)
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
Beginner / Machine Learning(ML), Scikit-Learn
4.9
(25)
The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!
Beginner
Machine Learning(ML), Scikit-Learn
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
Beginner / Machine Learning(ML), Scikit-Learn
4.9
(25)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
Intermediate / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(37)
Recently, all the remarkable achievements in the field of artificial intelligence are being announced in the area of reinforcement learning. This covers reinforcement learning technology—which is bringing about true innovation in AI such as robotics, autonomous driving, and humanoid machines—from basic to advanced levels in an easy-to-understand way for beginners.
Intermediate
Python, Deep Learning(DL), Reinforcement Learning(RL)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
Intermediate / Python, Deep Learning(DL), Reinforcement Learning(RL), PyTorch
4.7
(37)
Modern Natural Language Processing: From Understanding the Transformer Architecture to Practical LLM Fine-Tuning
YoungJea Oh
3 Days Only
24%
$51.70Intermediate / Deep Learning(DL), NLP, AI, LLM
4.9
(31)
Do you know the basics but feel overwhelmed when it comes to applying them in practice? Drawing on real-world experience, we make complex LLM architectures easy to understand.
Intermediate
Deep Learning(DL), NLP, AI
Modern Natural Language Processing: From Understanding the Transformer Architecture to Practical LLM Fine-Tuning
YoungJea Oh
3 Days Only
24%
$51.70Intermediate / Deep Learning(DL), NLP, AI, LLM
4.9
(31)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(85)
Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.
Beginner
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
Beginner / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(85)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
Intermediate / Tensorflow, Deep Learning(DL)
4.5
(8)
This course teaches you how to implement deep learning papers by implementing the U-Net paper from scratch using TensorFlow 2.0.
Intermediate
Tensorflow, Deep Learning(DL)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
Intermediate / Tensorflow, Deep Learning(DL)
4.5
(8)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
Basic / Kaggle, Machine Learning(ML), EDA
4.6
(28)
Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.
Basic
Kaggle, Machine Learning(ML), EDA
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
Basic / Kaggle, Machine Learning(ML), EDA
4.6
(28)
AICE Associate Certification Quick Pass Guide – From Concepts to Solving Reconstructed Past Exam Mock Tests
makebetter8722
Early Bird
29%
$72.60Basic / Python, Machine Learning(ML), Deep Learning(DL), Big Data, AI
5.0
(7)
Aim for a quick pass of the first nationally certified AI qualification! Includes three sets of practical problem-solving exercises reconstructed by the instructor after taking the exam personally, along with code templates.
Basic
Python, Machine Learning(ML), Deep Learning(DL)
AICE Associate Certification Quick Pass Guide – From Concepts to Solving Reconstructed Past Exam Mock Tests
makebetter8722
Early Bird
29%
$72.60Basic / Python, Machine Learning(ML), Deep Learning(DL), Big Data, AI
5.0
(7)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
Basic / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.7
(27)
This is a lecture that studies the physical information neural network, one of the next-generation innovative technologies of deep learning, and implements it directly using Pytorch. Let's learn the next-generation innovative technology of artificial intelligence with me!
Basic
PyTorch, Deep Learning(DL), Machine Learning(ML)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
Basic / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.7
(27)
Time series data processing using Python and deep learning
YoungJea Oh
Intermediate / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(21)
Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!
Intermediate
AI, python3, Deep Learning(DL)
Time series data processing using Python and deep learning
YoungJea Oh
Intermediate / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(21)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
Basic / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.8
(78)
This course teaches the “core concepts” of deep learning required to work in the deep learning field and the practical skills required to perform actual deep learning projects through hands-on training using PyTorch.
Basic
Deep Learning(DL), PyTorch, Computer Vision(CV)
Complete mastery of deep learning theory + PyTorch practice
peterbyun969574
Basic / Deep Learning(DL), PyTorch, Computer Vision(CV), NLP, transformer, CNN, RNN, LLM
4.8
(78)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
Beginner / Machine Learning(ML), Deep Learning(DL)
4.8
(167)
This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.
Beginner
Machine Learning(ML), Deep Learning(DL)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
Beginner / Machine Learning(ML), Deep Learning(DL)
4.8
(167)
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[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
3 Days Only
23%
$33.00Basic / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
4.9
(14)
Learn how to build deep learning models yourself using intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.
Basic
Deep Learning(DL), Artificial Neural Network, PyTorch
[Pytorch] Building Deep Learning Models Using PyTorch
YoungJea Oh
3 Days Only
23%
$33.00Basic / Deep Learning(DL), Artificial Neural Network, PyTorch, Anaconda, CNN
4.9
(14)
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
Basic / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(25)
Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.
Basic
Reinforcement Learning(RL), Machine Learning(ML), Unity
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
Basic / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(25)
Machine Learning Engineer Practice
Chris Song
Intermediate / Machine Learning(ML)
4.4
(88)
This course will help you reduce the amount of trial and error you may experience in machine learning projects. I am in charge of Luid's machine learning pipeline and will teach you from the basics.
Intermediate
Machine Learning(ML)
Machine Learning Engineer Practice
Chris Song
Intermediate / Machine Learning(ML)
4.4
(88)
Do It! Introduction to Deep Learning
haesunpark
Basic / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(81)
This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’
Basic
Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
Do It! Introduction to Deep Learning
haesunpark
Basic / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(81)
Introduction to Deep Reinforcement Learning with TensorFlow - Deep Reinforcement Learning
AISchool
Intermediate / Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
3.7
(3)
This course will help you build a solid foundation in the basic concepts of reinforcement learning through essential theoretical learning on deep reinforcement learning, and learn the principles of deep reinforcement learning in detail through hands-on practice of implementing actual code using TensorFlow.
Intermediate
Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
Introduction to Deep Reinforcement Learning with TensorFlow - Deep Reinforcement Learning
AISchool
Intermediate / Deep Learning(DL), Tensorflow, Reinforcement Learning(RL)
3.7
(3)
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[Renewed] Beginner’s Python Machine Learning Bootcamp (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part 2]
funcoding
Basic / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(123)
Based on the instructor’s experience of struggling when first learning machine learning, this course has been newly designed—unlike conventional courses—to help you understand machine learning easily and apply it to real-world problems.
Basic
Machine Learning(ML), Kaggle, Pandas
[Renewed] Beginner’s Python Machine Learning Bootcamp (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part 2]
funcoding
Basic / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(123)
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[2026] The Big Data Analysis Engineer Practical Exam Made Easy Once You Understand It - From Basics to Real-World Practice [Past Exam Questions & Dedicated Practice Environment Provided]
algolearn
Early Bird
30%
$53.90Beginner / Python, Big Data, Pandas, Numpy, Scikit-Learn, scipy.stats, Engineer Big Data Analysis
Is the practical exam daunting because you’re new to Python? An instructor with over 10 years of experience teaching data analysis will guide you step by step, starting with a single variable and progressing through Type 1 preprocessing, Type 2 modeling and result.csv submission, and Type 3 statistical testing. Each video comes with a fill-in-the-blank notebook, allowing you to follow along hands-on in a practice environment that most closely resembles the actual test site. This makes it learning that stays with you, rather than studying that ends when you finish watching. Use the self-assessment to choose your track (complete beginner: 6 weeks · experienced learner: 3 weeks · two weeks before the exam) and take only the lessons you need.
Beginner
Python, Big Data, Pandas
[2026] The Big Data Analysis Engineer Practical Exam Made Easy Once You Understand It - From Basics to Real-World Practice [Past Exam Questions & Dedicated Practice Environment Provided]
algolearn
Early Bird
30%
$53.90Beginner / Python, Big Data, Pandas, Numpy, Scikit-Learn, scipy.stats, Engineer Big Data Analysis
![Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]Course Thumbnail](https://cdn.inflearn.com/public/courses/329829/cover/aa829cbc-ed61-4aa4-b848-3d8c576daee4/329829.jpg?f=avif&w=420)
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
Beginner / Machine Learning(ML)
4.8
(66)
This is a basic machine learning course for those who don't know math and coding well, but want to understand machine learning trends and utilize machine learning technology to plan products.
Beginner
Machine Learning(ML)
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
Beginner / Machine Learning(ML)
4.8
(66)
(UPDATED) Personalized Recommendation Systems using Python | Recommendation Algorithms | Recommendation AI
거친코딩
Basic / Recommendation System, Deep Learning(DL)
4.7
(47)
Create your own personalized recommendation algorithm by understanding how various recommendation algorithm principles work!
Basic
Recommendation System, Deep Learning(DL)
(UPDATED) Personalized Recommendation Systems using Python | Recommendation Algorithms | Recommendation AI
거친코딩
Basic / Recommendation System, Deep Learning(DL)
4.7
(47)
Self-study machine learning + deep learning
haesunpark
Basic / Machine Learning(ML), Deep Learning(DL)
4.8
(164)
The ultimate machine learning and deep learning tutorial that teaches you like a 1:1 private lesson with Hanbit Media's Honkong series, understand with hundreds of hand drawings, and practice right away with just a browser through Google Colab
Basic
Machine Learning(ML), Deep Learning(DL)
Self-study machine learning + deep learning
haesunpark
Basic / Machine Learning(ML), Deep Learning(DL)
4.8
(164)
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[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
Basic / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(84)
This is a lecture on implementing various artificial neural networks using PyTorch, a deep learning framework with very high utility in the field of artificial intelligence.
Basic
Deep Learning(DL), Python, PyTorch
[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
Basic / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(84)
Grasping Deep Learning Concepts Leading to Practical Artificial Intelligence
dlbro
Beginner / Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
4.7
(113)
This course conveys the essential knowledge needed to understand the structures and operating principles of various artificial neural networks and build good models.
Beginner
Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
Grasping Deep Learning Concepts Leading to Practical Artificial Intelligence
dlbro
Beginner / Machine Learning(ML), Deep Learning(DL), Artificial Neural Network
4.7
(113)
Heart-pounding Artificial Intelligence - Concept Edition -
skmns
Beginner / AI, Deep Learning(DL), Machine Learning(ML)
4.6
(5)
Are you excited about the future that artificial intelligence will bring? AI! AI! AI! The world of artificial intelligence is approaching. Are you looking forward to our future changed by AI? Or are you afraid? Let's learn about artificial intelligence properly and welcome it!
Beginner
AI, Deep Learning(DL), Machine Learning(ML)
Heart-pounding Artificial Intelligence - Concept Edition -
skmns
Beginner / AI, Deep Learning(DL), Machine Learning(ML)
4.6
(5)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
Intermediate / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
A course to learn deep learning paper implementation skills, implementing the GPT-1 (Improving Language Understanding by Generative Pre-Training) paper from scratch with TensorFlow 2.0.
Intermediate
gpt, Tensorflow, Deep Learning(DL)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
Intermediate / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
Intermediate / Deep Learning(DL), Tensorflow
4.7
(41)
This course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.
Intermediate
Deep Learning(DL), Tensorflow
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
Intermediate / Deep Learning(DL), Tensorflow
4.7
(41)
Introduction to Deep Learning with TensorFlow 2.0
AISchool
Basic / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(73)
This course will teach you the core theories of deep learning and how to implement deep learning code using the latest TensorFlow 2.0.
Basic
Tensorflow, Deep Learning(DL), Machine Learning(ML)
Introduction to Deep Learning with TensorFlow 2.0
AISchool
Basic / Tensorflow, Deep Learning(DL), Machine Learning(ML)
4.6
(73)
Exploring Deep Learning with Excel - CNN
hjk1000
Basic / VBA, Excel, CNN
4.9
(19)
Implementing deep learning basics with Excel to deeply understand their meaning! Learn how image data is processed!
Basic
VBA, Excel, CNN
Exploring Deep Learning with Excel - CNN
hjk1000
Basic / VBA, Excel, CNN
4.9
(19)
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.5
(6)
You can enhance your development capabilities by deeply exploring the fundamental principles of large language models like ChatGPT and Claude. You will be able to learn a variety of information and development techniques that are not commonly encountered.
Intermediate
NLP, gpt, AI
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
Intermediate / NLP, gpt, AI, ChatGPT, LLM
4.5
(6)
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
Basic / Deep Learning(DL), Tensorflow, Python, colab
4.9
(50)
This is a lecture where you can learn Deep Learning using TensorFlow. Learn linear regression, logistic regression, and softmax regression models, and finally create an MLP model that can classify fashion images!
Basic
Deep Learning(DL), Tensorflow, Python
Deep Learning and TensorFlow for Beginners: The Basics Fast
Jay
Basic / Deep Learning(DL), Tensorflow, Python, colab
4.9
(50)
