How to become an ML engineer? Why Machine Learning is the future of business. Code and coffee, s 4 ep 6.
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Artificial intelligence, machine learning, neural networks and other futuristic terms were discussed in the new podcast episode) We also figured out how machine learning works, how it differs from artificial intelligence, at what point a business is ready for ML, and what you need to know to become a cool ML engineer. Our guests were: Khambar Dusaliyev, ML Team Lead at Kolesa Group Alexander Gushchin, Product Engineer at Iterative.ai #ml #machinelearning #machinelearning #podcast Timestamps: 00:00 Introduction 01:06 Khambar talks about himself and his path in ML 01:48 Sasha talks about his path in ML 3:05 What is machine learning and why is it so hyped? 5:41 How does a machine learn? 8:55 Why is it impossible to predict the exchange rate? 12:40 Results of the 4th episode competition 13:15 Who is an ML engineer? 14:07 When to implement ML solutions in business? 15:58 How much does it cost to implement machine learning in a company? 17:58 How much money do you need for testing and implementation? 20:56 Cases from Sasha and Hambar 25:28 Has ML matured as an engineering? 30:14 Engineers + business 34:49 Tips for businesses that are on the verge of implementing machine learning 36:26 What knowledge do you need to become an ML engineer? 38:18 Do you need kaggle in your career as an ML engineer? 40:03 Where should you aim if you like ML? 42:01 What to read to keep yourself in shape? 43:48 What to expect from machine learning? 46:00 Blitz 48:48 Competition 49:01 Conclusion Winners of the 4th episode about iOS: Amirkhan Ussipbekov, Uatkhanov Ilyas Website kolesa group: https://kolesa.group/?utm_source=yout... Instagram kolesa group: / kolesagroup Competition conditions: 1. Be subscribed to our channel, like the podcast episodes. 2. At the end of each episode, the speakers will ask a question that must be answered in the comments under the episode. The task must be completed within a week after the publication of the episode. The speakers will choose the comments they like. 3. We will announce the winners after the episode. For example, we will announce the winners of the first episode in the third, the winners of the 2nd episode in the 4th, and so on. Subscribe to our Telegram channel: https://t.me/kolesa_group
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