fix dask-ml links

Previously this pointed to /en/latest with readthedocs conventions These were broken
mrocklin · Oct 6, 2018 · 1b03c8d · 1b03c8d
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diff --git a/docs/source/api.rst b/docs/source/api.rst
@@ -5,7 +5,7 @@ Dask APIs generally follow from upstream APIs:
 
 -  The :doc:`Dask Array API <array-api>` follows the Numpy API
 -  The :doc:`Dask Dataframe API <dataframe-api>` follows the Pandas API
--  The `Dask-ML API <https://ml.dask.org/en/latest/modules/api.html>`_ follows the Scikit-Learn API and other related machine learning libraries
+-  The `Dask-ML API <https://ml.dask.org/modules/api.html>`_ follows the Scikit-Learn API and other related machine learning libraries
 -  The :doc:`Dask Bag API <bag-api>` follows the map/filter/groupby/reduce API common in PySpark, PyToolz, and the Python standard library
 -  The :doc:`Dask Delayed API <delayed-api>` wraps general Python code
 -  The :doc:`Real-time Futures API <futures>` follows the `concurrent.futures <https://docs.python.org/3/library/concurrent.futures.html>`_ API from the standard library.

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -171,7 +171,7 @@ then you should start here.
    dataframe.rst
    delayed.rst
    futures.rst
-   machine-learning.rst
+   Machine Learning <https://ml.dask.org>
    api.rst
 
 **Scheduling**

diff --git a/docs/source/machine-learning.rst b/docs/source/machine-learning.rst
diff --git a/docs/source/spark.rst b/docs/source/spark.rst
@@ -98,7 +98,7 @@ functionality.
         - Dask allows you to specify arbitrary task graphs for more complex and
           custom systems that are not part of the standard set of collections.
 
-.. _dask-ml: https://ml.dask.org/en/latest
+.. _dask-ml: https://ml.dask.org
 
 
 Reasons you might choose Spark