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HOW TO START MACHINE LEARNING

Pre-requisites:
1⃣ Programming (preferably Python) 2⃣ Linear Algebra
3⃣ Probability and Statistics

Starting Book(s):
1⃣ Pattern Recognition and Machine Learning by Chris Bishop
2⃣ Deep Learning by Goodfellow, Bengio and Courville (For starting Deep Learning)

Course(s) & Certification(s):
1⃣ Coursera Machine Learning by Andrew Ng
2⃣ Coursera Deep Learning Specialization by deeplearning.ai
3⃣ edX Machine Learning by Columbia University

#machinelearning #deeplearning #course #book #artificialintelligence

@pythonicAi



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HOW TO START MACHINE LEARNING

Pre-requisites:
1⃣ Programming (preferably Python) 2⃣ Linear Algebra
3⃣ Probability and Statistics

Starting Book(s):
1⃣ Pattern Recognition and Machine Learning by Chris Bishop
2⃣ Deep Learning by Goodfellow, Bengio and Courville (For starting Deep Learning)

Course(s) & Certification(s):
1⃣ Coursera Machine Learning by Andrew Ng
2⃣ Coursera Deep Learning Specialization by deeplearning.ai
3⃣ edX Machine Learning by Columbia University

#machinelearning #deeplearning #course #book #artificialintelligence

@pythonicAi

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Importantly, that investor viewpoint is not new. It cycles in when conditions are right (and vice versa). It also brings the ineffective warnings of an overpriced market with it.Looking toward a good 2022 stock market, there is no apparent reason to expect these issues to change.

The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.

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