Skip to main content

Google Machine Learning Foundation Course

 
The Google Machine Learning Foundation Course is designed to provide learners with essential skills and knowledge in machine learning. The course covers fundamental concepts and practical applications, ensuring a solid foundation for further exploration in the field. Topics include data preprocessing, model training, evaluation, and deployment, with a focus on real-world problem-solving. It is suitable for beginners and those looking to strengthen their understanding of machine learning principles. For more details visit Google Machine Learning Foundation Course

What will you Learn?

Comments

Post a Comment

Popular Post

Apply for Google Summer Internship-2025

Google is offering a summer internship in 2025 for students interested in technology, software engineering , and innovation. This program provides hands-on experience, mentorship, and opportunities to work on impactful projects. Ideal for students aiming to enhance their skills and gain industry insights. To apply for the Google summer internship 2025, you'll need an updated CV or resume and a current unofficial or official transcript in English. Click 'Apply' on the internship page and upload the following documents (PDFs preferred): In the 'Resume Section,' attach your updated CV or resume. In the 'Education Section,' attach your current or recent unofficial or official transcript in English. Under 'Degree Status,' select 'Now attending' to upload your transcript. You can choose your preferred working location from Bengaluru, Hyderabad, or Pune in India when applying. Minimum qualifications: Currently studying for a Bachelor's or Maste...
1 comment
Read more

IIRS-ISRO offers AI/ML for Geo Data Analysis: A Free Course

AI has captured our imagination and research focus since the Dartmouth Conferences in 1956, where the field was born. Defined as programs that can sense, reason, act, and adapt, AI has been heralded as the key to a brighter future. Machine Learning (ML) involves algorithms that improve with data over time, while Deep Learning, a subset of ML, utilizes multilayered neural networks to learn from vast data. Technological advancements have enabled the processing and analysis of unprecedented data volumes, driven by the proliferation of internet-connected devices. These advancements bring us closer to creating intelligent machines seen in everyday applications like online recommendations and auto-generated photo tags. The main applications of deep learning AI include computer vision, natural language processing (NLP), and reinforcement learning. This course, scheduled from August 19-24, 2024 , covers AI, ML, Deep Learning, and data processing techniques, with case studies in geospatial dat...
Post a Comment
Read more

Apply for Microsoft Software Engineering Internship

Join Microsoft as an intern to build community, explore your passions, and work on real-world projects. Software engineers collaborate to solve problems and create innovative solutions. Interns have fun while working globally, contributing to Microsoft's mission to empower everyone. Embrace a growth mindset, innovate , and build a culture of inclusion where all can thrive. Qualifications: Currently pursuing a bachelor's or master's degree in engineering, computer science, or a related field. Must have at least one more quarter/semester of college remaining after the internship. One year of experience programming in an object-oriented language . Responsibilities: Apply engineering principles to creatively solve complex problems. Quickly learn and integrate new engineering methods into workflows. Seek and apply feedback and best practices to improve technical solutions. Manage time effectively to complete software projects in a collaborative team environment. Click the bel...
Post a Comment
Read more