OEM Developing AI and Machine Learning Solutions with Python Training
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Training Developing AI and Machine Learning Solutions with Python - Online E-Learning Course. Order and start immediately for the best price.
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Product description
Developing AI and Machine Learning Solutions with Python E-Learning
Order this great E-Learning Training Developing AI and Machine Learning Solutions with Python online course! ✔️ 1 year 24/7 access to rich interactive videos, voice support, practice assignments, progress monitoring through reports and tests by topic to test your knowledge instantly. ✔️ After the course, you will receive a certificate of participation.
Why choose this course?
Artificial intelligence (AI) and machine learning (ML) are the fastest-growing technologies helping companies optimise their processes and make better decisions. Python is the most popular programming language for developing AI and ML solutions thanks to its simplicity, versatility and the power of the many libraries available. This course provides you with everything you need to develop AI and ML solutions with Python, from the basics of machine learning to implementing deep learning algorithms and robotic process automation (RPA).
What you will learn:
Introduction to AI and Machine Learning: Understand the basic concepts of AI and ML, and how they are applied in different industries.
Python for Machine Learning: Learn how to use Python to develop machine learning models, including popular libraries such as Scikit-learn, TensorFlow, and Keras.
Deep Learning: Gain insight into deep learning algorithms and learn how to implement them to recognise complex patterns in data.
Data preprocessing: Discover techniques for preparing data for machine learning models, such as data cleaning, feature selection and data augmentation.
Robotic Process Automation (RPA): Learn how to use Python to develop RPA solutions to automate repetitive tasks in business processes.
Evaluating and improving models: Understand how to evaluate and improve your ML models for better performance.
Real-world applications: Study real-world examples and case studies of AI and ML applications in different industries, from healthcare to finance.
Who should participate?
This course is ideal for:
Data scientists who want to expand their skills in Python and deepen their knowledge of machine learning.
Software developers who want to integrate AI and ML functionality into their applications and systems.
Engineers and researchers who want to learn how to use Python to develop AI and machine learning solutions.
IT professionals who want to develop their career by learning how to apply AI and machine learning to their daily work.
Students and beginners who are interested in artificial intelligence and machine learning and want to learn how to get started with Python.
Business owners and entrepreneurs who want to use AI and machine learning to improve and automate business processes.
If you want to delve into developing AI and ML solutions and learn how Python plays an essential role in this process, then this course is perfect for you.
Demo Developing AI and Machine Learning Solutions with Python Training
Course content
AI and ML Solutions with Python: Machine Learning and Data Analytics
Course: 1 Hour, 4 Minutes
Machine Learning Concepts
Machine Learning and Deep Learning Machine Learning and AI Correlation Installing Python for
Machine Learning Analytics Types and Techniques Benefits of Predictive and Descriptive Analytics
Nominal, Ordinal, Interval, and Ratio Data Metrics
Supervised Learning Algorithm
Implementing Regression
Exercise: Working with Data Frames
AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning
Course: 1 Hour, 31 Minutes
Working with Classification
Unsupervised Learning
K-Mean Clustering
Hierarchical Clustering
Text Mining and Recommender Systems
Text Mining and Data Assemblz
Deep and Reinforcement Learning Concepts
Restricted Boltzmann
Working with CNN
Exercise: Working with Data Frames and Centroids
AI and ML Solutions with Python: Deep Learning and Neural Network Implementation
Course: 1 Hour, 3 Minutes
Recurrent Neural Network
Data Sampling
Applying PCA
Gaussian Regression Process
Linear Model
Pre-Model and Workflow
Classification and Bayesian Ridge
Linear Regression Modelling
Logistic Regression Using Linear Method
Exercise: Working with Linear Regression
AI and ML Solutions with Python: Implementing ML Algorithm Using scikit-learn
Course: 1 Hour, 14 Minutes
Least Absolute Shrinkage
Bayesian Ridge Regression Using scikit-learn
Data Classification
Decision Tree Classification
Vector Machine Using scikit-learn
Document Classification and Naive Bayes
Post Model Validation
Using Shufflesplit
Brute Force Grid Search
Exercise: Working with Decision Tree Classifiers
AI and ML Solutions with Python: Implementing Robotic Process Automation
Course: 1 Hour, 3 Minutes
Fake Estimator
Introducing Robotic Process Automation
RPA Frameworks
Implement Pattern Matching Using Python
Task Scheduler and Program Auto Launch
Manipulate Images
File Operation Automation
UiPath Fundamentals
Implement RPA using UiPath
Exercise: Working with Image Filters
Get started with AI and Machine Learning!
✔️ Flexible learning: Study the course at your own pace with rich interactive videos and voice support. ✔️ Hands-on learning: Apply your knowledge immediately through practical assignments and tests for each topic. ✔️ Certificate of participation: Receive a certificate of participation after successful completion of the course. ✔️ Boost your career: Learn how to develop AI and ML solutions that help companies make data-driven decisions.
Order your course now and become an expert in AI and machine learning with Python!
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
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