Machine Learning (ML) For Beginners - Courses
according to indeed.com the average salary for Machine Learning Engineer in the United States is $137,187 per year.
and according to linkedin.com Machine learning engineer, data scientist, and big data engineers are on heigh demand - "Jobs with the top growth potential are tech-focused, with demand coming from tech and non-tech companies alike. Machine learning engineer, data scientist, and big data engineers rank among the top emerging jobs -- with companies in a wide range of industries seeking those skills." .
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| image from linkedin |
What Is Machine Learning?
to make it short and easy, Machine Learning is making systems that perform a specific task without being explicitly programmed.need an example?
machine learning can be used in image/speech recognition, and it was recently used by youtube to Automatically remove objectionable content.
Course 1 - Data Science and Machine Learning with Python - Hands On!
this course is a mix of data science and machine learning.
If you've got some programming experience, this course will teach you the techniques used by real data scientists in the tech industry.
this course includes:
- 68 lectures.
- 9 hours 56 min of video.
this course is created by "Frank Kane" with 9 years of experience at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers.
Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning.
If you've got some programming experience, this course will teach you the techniques used by real data scientists in the tech industry.
this course includes:
- 68 lectures.
- 9 hours 56 min of video.
this course is created by "Frank Kane" with 9 years of experience at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers.
Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning.
- Regression analysis.
- Train/Test and cross validation.
- Decision Trees and Random Forests.
- Multi-Level Models.
- Reinforcement Learning.
- K-Nearest Neighbor.
- Experimental Design and A/B Tests.
and much more......
↓↓↓ CLICK TO GET THIS COURSE FOR FREE FOR 2 MONTHS ↓↓↓
Course 2 - Building Recommender Systems with Machine Learning and AI
now you have the basics knowledge, you need to practice this knowledge by creating a recommendation system.
more and more websites are using algorithms that learn from users interest to recommend them products that suits them the best and they will propably buy or whatever the desired action.
this course is also presented by "Frank Kane".
What You Will Learn In This Course:
- Building a recommendation engine.
- Evaluating recommender systems.
- Content-based filtering using item attributes.
- Applying deep learning, AI, and artificial neural networks to recommendations.
- Real-world challenges and solutions with recommender systems.
- Case studies from YouTube and Netflix.
and much more......
more and more websites are using algorithms that learn from users interest to recommend them products that suits them the best and they will propably buy or whatever the desired action.
this course is also presented by "Frank Kane".
What You Will Learn In This Course:
- Building a recommendation engine.
- Evaluating recommender systems.
- Content-based filtering using item attributes.
- Applying deep learning, AI, and artificial neural networks to recommendations.
- Real-world challenges and solutions with recommender systems.
- Case studies from YouTube and Netflix.
and much more......
↓↓↓ CLICK TO GET THIS COURSE FOR FREE FOR 2 MONTHS ↓↓↓
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