Because we believe that the best way to learn is teach.Training Modules
We believe that the best way to learn the fundamental techniques and the current advancements of any field is to teach it.
In this module, we present the landscape of different computational methods and approaches for analyzing data, and their corresponding use cases in Healthcare, Logistics, and Finance.
In this module, we'll cover the fundamentals of deep learning and its application to object and character recognition and Natural Language Processing using TensorFlow.
In this module, we dive deep into the scientific process of answering relevant questions given available data using R programming language and established computational methods.
In this module, we dive deep into the scientific process of answering relevant questions given available data using Python programming language and established computational methods.
In this module, we present the different approaches in graph analytics that can provide insights from complex dataset containing different interrelated entities.
In this module, we provide a practical list of visualization techniques described in terms of their major goals, fundamental principles, and state-of-the-art approaches.
In this module, we aim to accelerate the trainees' CPU computations by utilizing massively parallel processors such as GPUs, thereby allowing "personal supercomputing."
In this module, we provide an interactive workshop that will encourage creativity and test the problem solving skills of the participants.
"I learned a lot from the introduction! Makes me want to focus on data science as a career path."
"Insightful and they used very interesting and entertaining examples/videos of AI, apps, and papers. Thank you! I really appreciate the workshop"
"Very clear presentation, well-structured and easy to understand. What I liked best was the presenter's demo regarding on how to use it or apply it to different field especially in genetic analysis. I found it very worthwhile and thank you all for sharing your skills with us. and do look forward on the next workshop. God Bless Algoheim"
"I like how the examples in every topic were relatable in real life and easy to comprehend. Congratulations to the team for the successful workshop!"
"Very good start in promoting Data Science courses. Excellent pitch from Ma'am Joie and the rest of the team. Hope there will be more meet ups on Data Science topics. Let's start the courses rolling!"
Algoheim's roster is a combination of seasoned professionals with the vision of bridging the gap between the academe and the industry.
Jhoi is the VP of Algorithms and Analytics in MaroonStudios. She is a PhD candidate and an Assistant Professor in the Department of Computer Science, UP Diliman. She specializes on approaches in solving hard combinatorial optimization problems.
Jeff is a Senior Science Research Specialist at the Computer Software Division of DOST-ASTI. He is a graduate student in Computer Science at the UP Diliman. His areas of interest are Quantum Computing, Parallel Computing, Deep Learning and Data Science.
Francis received his PhD degree in computer science from the Algorithms and Complexity, Department of Computer Science, UP Diliman, in 2015. His current research interests include membrane computing, parallel computing, and automata and formal languages.
Grace is an MS Computer Science student in UP Diliman, and the founding CEO of HealthBlocks Inc., a next-generation health technology company for developing countries. Her expertise is on Machine Learning and Natural Language Processing.
James is the founder and Chief Executive Officer of MaroonStudios, Inc. He is also the co-founder of an multi-awarded company called HealthBlocks. He was the Grand Winner of Asean's Next Big Idea and mentored by Silicon Valley along with Uber.
Jessie is an MS Computer Science student in UP Diliman, and has research interests in Image Processing and Machine Learning. Currently, he is also an R&D Engineer in MaroonStudios and leads the company's blockchain development services.
Olivia is a Data Acquisition and Data Feeds Specialist, and currently an R&D Engineer in MaroonStudios focusing on web applications development. She is also an expert on Deep Learning applications in Health.
Zandra spearheads the trainings and consultation services of Algoheim. She manages all the external affairs and engagement of the team with industry partners.