AI and ML: Complete Guide
Gain a comprehensive understanding of AI concepts and practical skills by utilizing Python and visual tools to apply them to real-world tasks such as natural language processing, computer vision, and machine learning.
Description for AI and ML: Complete Guide
Features of Course
AI Algorithms and Machine Learning: Utilize Orange and Python to acquire a comprehensive understanding of the theoretical underpinnings and practical application of AI algorithms for tasks such as classification, regression, and clustering.
Hands-on Programming with Python: Develop the ability to use Python programming to develop AI algorithms, such as the implementation of A* algorithms, optimization methods, and fuzzy logic systems.
Computer Vision and NLP Applications: Investigate the use of AI in computer vision, including face recognition, object tracking, and image generation, as well as NLP techniques for sentiment classification.
Reinforcement Learning and Practical Projects: Develop agents for simulations to implement reinforcement learning, and engage in real-world projects such as simulating a taxi driver and predicting restaurant gratuities.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Udemy provided by Jones Granatyr & AI Expert Academy
Duration: 22h 19m
Schedule: Full lifetime access
Pricing for AI and ML: Complete Guide
Use Cases for AI and ML: Complete Guide
FAQs for AI and ML: Complete Guide
Reviews for AI and ML: Complete Guide
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI and ML: Complete Guide
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Marbleflows is a no-code funnel builder powered by AI for entrepreneurs and businesses, offering distinctive features and accessibility for easy funnel construction and lead conversion optimization.
The AI tool provides a comprehensive solution for managing AI vision intelligence, offering sophisticated computer vision systems, complete automation in horticulture robotics, and user administration features for seamless operation and control.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Coginiti's AI-Assisted SQL Development boosts SQL development efficiency with instant query assistance and optimization, alongside on-demand learning resources, while facing integration restrictions and an initial learning curve.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
Accubits provides tailored blockchain and AI solutions, offering expert technology consulting and enterprise solutions, recognized for industry leadership and innovation, catering to a diverse clientele but potentially overwhelming for small-scale enterprises.
The platform offers innovative gamified assessments, AI-audited algorithms, and digital interviewing for unbiased candidate evaluation, enhancing hiring efficiency and reducing bias, while providing deep talent insights and aligning talent development with business objectives.
Abacus.ai offers end-to-end MLOps capabilities and advanced AI methodologies, including neural networks, to provide precise models for enterprise data analysis needs, along with comprehensive monitoring and real-time machine learning features.
Nuclia is a cloud-based platform that creates AI-powered search engines, utilizing sophisticated algorithms for efficient data retrieval and offering features like NLP, automated data enrichment, and custom analytics.
Featured Tools
Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.
With the help of machine learning, this course teaches students how to predict health insurance costs by taking into account factors like age, gender, BMI, and smoking habits.
Data Engineering on Google Cloud. Embark on a vocation in data engineering. Provide business value through the application of machine learning and big data.
Learn how to use Gemini for Google Workspace to boost productivity and efficiency in Gmail through its generative AI features.
Explore innovative AI technologies through practical applications, thereby fostering industry-specific applications and innovation.