💥 #StarFab特報 💥 第六期 產業優勢+聯盟策略 AI生態系搶攻國際
近期甫完成A輪募資的 InfinitiesSoft 數位無限軟體 透過平台型產品「AI-Stack」協助客戶快速建立AI運算環境去進行AI模型的開發與機器學習訓練,同時更鏈結了許多生態夥伴在AI-Stack Ecosystem中共同堆疊出更多的應用場景與AI解決方案,策略聯盟共創AI產業新機。
此期我們很開心邀請到 第二屆 台灣雲谷雲豹育成計畫 的大學長 #數位無限 陳文裕 總經理 來分享AI產業的全球佈局機會與募資經驗談!
📌 台灣產業在人工智慧應用上面臨的挑戰及產業優勢為何?
📌 如何鏈結大企業並取得商業訂單?
📌 新創如何選擇適合的投資人?
⭐️【StarFab特報】第六期:https://pse.is/3ms8g7
💥 #StarFabNewsletter 💥 Issue 6
Competitive Advantages with Strategic Alliances
to Enter the Global Market in Artificial Intelligence
Just completing an A round of fundraising, InfinitiesSoft helps its clients establish an AI computing environment on AI-Stack to combine their knowledge with machine learning. Also, InfinitiesSoft has enabled many ecosystem partners to stack more tools or AI applications to promote the business development in AI industry through strategic alliances.
In this week’s issue, we will be sharing how InfinitiesSoft Solutions Inc., a firm that was the runner up on Demo Day for the 2014 CIAT Accelerator Program, positions itself in the global market and keeps its competitive edge in the AI industry with Wenyu Chen, General Manager of InfinitiesSoft!
📌 What are the challenges and advantages of the AI application in industries in Taiwan?
📌 How do startups connect with big companies and get orders from them?
📌 How do startups choose the right investors?
【StarFab Newsletter】Issue 6:https://pse.is/3p3sgp
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machine learning with applications 在 Dr Mohd Daud Bakar - Shariah Minds - Minda Syariah Facebook 的精選貼文
*ARTIFICIAL INTELLIGENCE: THE FUTURE FOR DIABETES CARE*
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition, especially in Malaysia.
*Key Questions:*
1. How should healthcare providers and specialists deal with the expected surge in cases?
2. How can AI and IoT play a role in preventive and personalised healthcare roadmap for individuals, especially those disadvantaged groups?
3. What are the use cases / case studies for deployment of innovative technology to curtail the spread of diabetes?
Find out how via selected case studies : AI innovations can help deal with case-based reasoning, machine learning, deep learning, and neural networks - that subsequently enable predictive population risk stratification, automated retinal screening, enhanced decision making, and self-management.
Join this first ever programme in Malaysia as the speakers bring together the data aspects of dialysis treatment and how this can potentially curtail the surge of diabetes in Malaysia.
*Register here :*
https://myfinb.com/future-of-healthcare
Thank you and we look forward to having you at the webinar.
MDB
Chairman of MyFInB
machine learning with applications 在 BorntoDev Facebook 的最讚貼文
🔥 มา ๆ ! มาเตรียมเรียน Machine Learning ตั้งแต่เริ่มต้นจนถึง Advance กับ หลักสูตรของ MIT ไปพร้อมกันนนน
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กับคอร์สฟรี "Machine Learning with Python: from Linear Models to Deep Learning" ที่เหมาะมาก ๆ ถ้าใครมีพื้นฐานไพธอนแล้วอยากลุยสาย ML
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🤣 เพราะในหลักสูตรนี้เขามาแน่น ๆ แบบเบิ้ม ๆ ครบทุกหัวข้อหลักไม่ว่าจะเป็น
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✅ Linear classifiers, separability, perceptron algorithm
✅ Maximum margin hyperplane, loss, regularization
✅ Stochastic gradient descent, over-fitting, generalization
✅ Linear regression
✅ Recommender problems, collaborative filtering
✅ Non-linear classification, kernels
✅ Learning features, Neural networks
✅ Deep learning, back propagation
✅ Recurrent neural networks
✅ Recurrent neural networks
✅ Generalization, complexity, VC-dimension
✅ Unsupervised learning: clustering
✅ Generative models, mixtures
✅ Mixtures and the EM algorithm
✅ Learning to control: Reinforcement learning
✅ Reinforcement learning continued
✅ Applications: Natural Language Processing
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โหยยย เยอะขนาดดดดด 55555 ไม่เรียนก็ไม่ได้แล้ว แอดบอกเลย เพราะจัดให้ตั้งแต่ ML ถึง deep learning เลยอะ
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หากใครอยากเรียน ดูดีเทล มาที่นี่เลยฮะ -> https://www.edx.org/course/machine-learning-with-python-from-linear-models-to
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ปล.คอร์สนี้เริ่มเรียน วันที่ 6 พฤษภานี้นะฮะ <3
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borntoDev - 🦖 สร้างการเรียนรู้ที่ดีสำหรับสายไอทีในทุกวัน