Crash Course ML 101 by Google(TensorFlow)
https://developers.google.com/machine-learning/crash-course/ml-intro
- https://medium.com/machine-learning-101
- https://machinelearningmastery.com/basic-concepts-in-machine-learning/
- https://bigml.com/ml101/
- https://towardsdatascience.com/machine-learning-101-an-intuitive-introduction-to-gradient-descent-366b77b52645
- http://www.inference.vc/design-patterns/
- Coca + TernsorFlow -> https://developers.googleblog.com/2017/09/how-machine-learning-with-tensorflow.html
- Spotify -> https://hackernoon.com/spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe
- AirBnB -> https://medium.com/airbnb-engineering/using-machine-learning-to-predict-value-of-homes-on-airbnb-9272d3d4739d
- Netflix -> https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76
- Uber -> https://eng.uber.com/machine-learning/
- https://www.blog.google/topics/machine-learning/
- https://machinelearningmastery.com/blog/
- https://blog.bigml.com/
- https://ahmedbesbes.com/
- http://blog.yhat.com/
- http://blog.kaggle.com/
- http://www.dataschool.io/
- https://mubaris.com/
- https://jeremykun.com/
- http://www.sumsar.net/
- http://blog.echen.me/
- http://blog.cloudera.com/
- https://hortonworks.com/blog/
- https://databricks.com/blog
- https://www.confluent.io/blog/
- https://aws.amazon.com/blogs/big-data/
- https://cloud.google.com/blog/big-data/
- Apache Spark -> https://spark.apache.org/
- Apache Storm -> http://storm.apache.org/ (legacy -> Look Heron)
- Apache Heron -> https://twitter.github.io/heron/
- Apache Cassandra -> http://cassandra.apache.org/ (Look DataStax)
- Apache Kafka -> https://kafka.apache.org/
- Kafka Streams -> https://kafka.apache.org/documentation/streams/ (Spark Competitor)
- Flink -> https://flink.apache.org/ (Spark Competitor - Java Based)
- Apache Samza -> http://samza.apache.org/ (Spark Competitor)
- Open NLP -> https://opennlp.apache.org/ (Java)
- Sckit-Lean -> http://scikit-learn.org/ (Python)
- Caffe -> http://caffe.berkeleyvision.org/ (DeepLearning C++)
- DeepLearning4J -> https://deeplearning4j.org/ (Java)
- ScalaNLP -> http://www.scalanlp.org/ (NLP in Scala)
- Smile -> https://haifengl.github.io/smile/ (Scala)
- TensorFlow -> https://www.tensorflow.org/ (Good Luck)
- Vision -> https://cloud.google.com/vision/ (Image)
- Video Inteligence -> https://cloud.google.com/video-intelligence/ (Video ML)
- NLP -> https://cloud.google.com/natural-language/
- Bots + Audio Interfaces -> https://dialogflow.com/
- Speach -> https://cloud.google.com/speech/
- Translate -> https://cloud.google.com/translate/
- Rekognition -> https://aws.amazon.com/rekognition/ (Image)
- Rekognition -> https://aws.amazon.com/rekognition/video-features/ (Video)
- Lex -> https://aws.amazon.com/lex/ (Bots/AudioInterfaces)
- Comprehend -> https://aws.amazon.com/comprehend/ (NLP)
- Translate -> https://aws.amazon.com/translate/
- Transcribe -> https://aws.amazon.com/transcribe/ (speach-2-Text)
- Polly -> https://aws.amazon.com/polly/ (Text-2-Speach)