1. How to Choose the Architecture for Your GenAI Application: A framework to select the simplest, fastest, cheapest architecture that will balance LLMs’ creativity and risk towardsdatascience.com/how-to-choose-the-architecture-for-your-genai-application-6053e862c457
   
2. Using Generative AI to Automatically Create a Video Talk from an Article: Using Gemini + Text to Speech + MoviePy to create a video, and what this says about what GenAI is becoming rapidly useful for medium.com/towards-data-science/using-generative-ai-to-automatically-create-a-video-talk-from-an-article-6381c44c5fe0
3. What goes into bronze, silver, and gold layers of a medallion data architecture? Here’s a four-layer medallion architecture that explicitly addresses data governance and separation-of-responsibility medium.com/@lakshmanok/what-goes-into-bronze-silver-and-gold-layers-of-a-medallion-data-architecture-4b6fdfb405fc
4. How to Implement a GenAI Agent using Autogen or LangGraph: Comparing Autogen and LangGraph from a developer standpoint medium.com/towards-data-science/how-to-implement-a-genai-agent-using-autogen-or-langgraph-929135afd34d
5. Generative AI Design Patterns medium.com/@lakshmanok/generative-ai-design-patterns-8eb1d937fccc
6. Corporate Blogs in the age of AI bootcamp.uxdesign.cc/corporate-blogs-in-the-age-of-ai-f8b33142fd8a
7. Building an AI Assistant with DSPy: A way to program and tune prompt-agnostic LLM agent pipelines medium.com/towards-data-science/building-an-ai-assistant-with-dspy-2e1e749a1a95
8. Advice on using LLMs wisely: Ten of my LinkedIn posts on LLMs https://medium.com/towards-data-science/advice-on-using-llms-wisely-388262b2ff50
9. Ten tips and tricks to employ in your Gen AI projects: Lessons from a Production-ready Generative AI Application medium.com/@lakshmanok/ten-tips-and-tricks-to-employ-in-your-gen-ai-projects-7468f8dc6bf0
10. Generative AI: easy adoption, continuously improving, protecting content, hyperscale efficiency medium.com/@lakshmanok/generative-ai-easy-adoption-continuously-improving-protecting-content-hyperscale-efficiency-b7226ea99ca6
11. Working with Geospatial Data at the Postcode Level: How to associate “point” postcodes with area census data. medium.com/towards-data-science/working-with-geospatial-data-at-the-postcode-level-3c9f79d866b3
12. Getting value out of Voice AI one stage at a time. 
    Improving the customer experience through automation. medium.com/datadriveninvestor/getting-value-out-of-voice-ai-one-stage-at-a-time-487b4a6a9b14
13. Four Approaches to build on top of Generative AI Foundational Models:
    What works, the pros and cons, and example code for each approach. medium.com/towards-data-science/four-approaches-to-build-on-top-of-generative-ai-foundational-models-43c1a64cffd5
14. How to Treat Data as a Product:
    Maximize the leverage you get from data by applying product management principles. medium.com/towards-data-science/how-to-treat-data-as-a-product-178dd3e0f471
15. Trends in Data and AI to align with: What the best organizations will be doing in 2023. medium.com/@lakshmanok/trends-in-data-and-ai-to-align-with-d9009bcb5cb2
16. Why large language models are bullshit artists and how to use them effectively anyway. medium.com/becoming-human/why-large-language-models-like-chatgpt-are-bullshit-artists-c4d5bb850852
17. How to choose the product to build your data platform upon medium.com/@lakshmanok/snowflake-or-databricks-bigquery-or-dataproc-redshift-or-emr-e40190c97ef8
18. Who should be doing machine learning at your company? medium.com/becoming-human/who-should-be-doing-machine-learning-at-your-company-12d6f74d7128
19. No, You Don’t Need MLOps medium.com/becoming-human/no-you-dont-need-mlops-5e1ce9fdaa4b
20. How to Generate Images with Stable Diffusion in Seconds, for Pennies medium.com/towards-data-science/how-to-generate-images-with-stable-diffusion-for-pennies-and-the-limitations-of-this-approach-d1cd4b4a4166
21. Why estimating the number of bots is not an ML problem and 100 accounts per day is sufficient lakshmanok.medium.com/why-estimating-the-number-of-bots-in-twitter-is-not-an-ml-problem-and-100-accounts-per-day-is-da0382847654
22. How to Write a Pandas Dataframe as a PDF levelup.gitconnected.com/how-to-write-a-pandas-dataframe-as-a-pdf-5cdf7d525488
23. How to use Customer Lifetime Value (LTV) for data-driven transformation towardsdatascience.com/how-to-use-customer-lifetime-value-ltv-for-data-driven-transformation-6f12596df943
24. Books to read if you want to become a data scientist; moving from academia to industry lakshmanok.medium.com/books-to-read-if-you-want-to-become-a-data-scientist-b4e5a8584e93
25. 10x is about Thinking, not about Grit or Skills medium.datadriveninvestor.com/10x-is-about-thinking-not-about-grit-or-skills-aac2076fcaaa
26. How to write a Custom Keras model so that it can be deployed for Serving  medium.com/towards-data-science/how-to-write-a-custom-keras-model-so-that-it-can-be-deployed-for-serving-7d81ace4a1f8
27. Books that help you become an ML engineer medium.com/@lakshmanok/books-that-help-you-become-an-ml-engineer-1dd6b20edac
28. [Joke] Why I left Google lakshmanok.medium.com/why-i-left-google-7bf5a183df09
29. Remote Functions in BigQuery towardsdatascience.com/remote-functions-in-bigquery-af9921498438
30. Data Workflow Modernization lakshmanok.medium.com/data-workflow-modernization-9da6dd2c8ee0
31. Do You Really Need a Feature Store? towardsdatascience.com/do-you-really-need-a-feature-store-e59e3cc666d3
32. How to do product mix optimization in real-time lakshmanok.medium.com/how-to-do-product-mix-optimization-in-real-time-d79ac1bf1c97
33. Working with JSON data in BigQuery medium.com/google-cloud/working-with-json-data-in-bigquery-24ca8fd6e90c
34. Data considerations for early-stage startups cloud.google.com/blog/topics/startups/google-cloud-data-tips-for-early-stage-startups
35. An Agile Architecture for Analytics and AI on Google Cloud medium.com/google-cloud/an-agile-architecture-for-analytics-and-ai-on-google-cloud-6415e692591f
36. How to Use ECMWF Weather Forecasts in Machine Learning Models lakshmanok.medium.com/how-to-use-ecmwf-weather-forecasts-in-machine-learning-models-92fc3730c5cf
37. How to build an MLOps pipeline for hyperparameter tuning in Vertex AI lakshmanok.medium.com/how-to-build-an-mlops-pipeline-for-hyperparameter-tuning-in-vertex-ai-45cc2faf4ff5
38. Developing and Deploying a Machine Learning Model on Vertex AI using Python lakshmanok.medium.com/developing-and-deploying-a-machine-learning-model-on-vertex-ai-using-python-865b535814f8
39. What We Can Learn from Zillow on Basing a Business Around Machine Learning lakshmanok.medium.com/what-we-can-learn-from-zillow-on-basing-a-business-around-machine-learning-646ee5daf7e0
40. How to Deploy a TensorFlow Model to Vertex AI lakshmanok.medium.com/how-to-deploy-a-tensorflow-model-to-vertex-ai-87d9ae1df56
41. Explaining a BigQuery ML model lakshmanok.medium.com/explaining-a-bigquery-ml-model-5cf8d9636ec9
42. Grow your ML skills with free offer from Coursera cloud.google.com/blog/products/ai-machine-learning/google-cloud-launches-ml-academy-with-free-training
43. Anomaly detection in time series data using BigQuery ML lakshmanok.medium.com/anomaly-detection-in-time-series-data-using-bigquery-ml-b70e10a9f3ff
44. As data volumes grow, switch from batch processing to stream analytics lakshmanok.medium.com/as-data-volumes-grow-switch-from-batch-processing-to-stream-analytics-9b077a8088ad
45. Hyperparameter tuning BigQuery ML: BigQuery ML can use Vertex AI to tune common model parameters medium.com/google-cloud/hyperparameter-tuning-directly-within-bigquery-ml-a0affb0991ae
46. Why you need to explain machine learning models cloud.google.com/blog/products/ai-machine-learning/why-you-need-to-explain-machine-learning-models
47. Quickly create BigQuery demo/dev environments using SQL lakshmanok.medium.com/quickly-create-bigquery-demo-dev-environments-using-sql-b14f734f7f96
48. Giving Vertex AI, the New Unified ML Platform on Google Cloud, a Spin towardsdatascience.com/giving-vertex-ai-the-new-unified-ml-platform-on-google-cloud-a-spin-35e0f3852f25
49. PIVOT in BigQuery towardsdatascience.com/pivot-in-bigquery-4eefde28b3be
50. Exploring hail reports with BigQuery and Data Studio towardsdatascience.com/exploring-hail-reports-with-bigquery-and-data-studio-dd6f903b624b
51. Speeding up small queries in BigQuery with BI Engine lakshmanok.medium.com/speeding-up-small-queries-in-bigquery-with-bi-engine-4ac8420a2ef0
52. How to do distributed processing of Landsat data in Python lakshmanok.medium.com/how-to-do-distributed-processing-of-landsat-data-in-python-37abb6ba0bca
53. How to Trigger Cloud Run Actions on BigQuery Events lakshmanok.medium.com/how-to-trigger-cloud-run-actions-on-bigquery-events-e818ee910560
54. Loading complex CSV files into BigQuery using Google Sheets lakshmanok.medium.com/loading-complex-csv-files-into-bigquery-using-google-sheets-53b915b7e43
55. Writing a custom data augmentation layer in Keras towardsdatascience.com/writing-a-custom-data-augmentation-layer-in-keras-2b53e048a98
56. Building SQL pipelines in BigQuery with Dataform medium.com/google-cloud/building-sql-pipelines-in-bigquery-with-dataform-part-1-9e96f14ec664
57. Validating successful execution of BigQuery scripts using ASSERT medium.com/google-cloud/validating-successful-execution-of-bigquery-scripts-using-assert-c82f7ff9cfa8
58. Compression, search, interpolation, and clustering of images using machine learning towardsdatascience.com/compression-search-interpolation-and-clustering-of-images-using-machine-learning-eb65fcf0abbb
59. How to create a concise image representation using machine learning towardsdatascience.com/how-to-create-a-concise-image-representation-using-machine-learning-20156c1e0c19
60. How to parse forms using Google Cloud Document AI levelup.gitconnected.com/how-to-parse-forms-using-google-cloud-document-ai-68ad47e1c0ed
61. How to convert binary files into TensorFlow records towardsdatascience.com/how-to-convert-binary-files-into-tensorflow-records-3150d7236341
62. How to create a numeric calculation web service that autoscales on GPUs medium.com/daas-labs/how-to-create-a-numeric-calculation-web-service-that-autoscales-on-gpus-c43b865d867d
63. How to move from on-demand pricing to reservations in BigQuery medium.com/google-cloud/how-to-move-from-on-demand-pricing-to-reservations-in-bigquery-65552cbebd45
64. Kamala is an American name medium.com/@lakshmanok/kamala-is-an-american-name-86713135be99
65. How to do text similarity search and document clustering in BigQuery towardsdatascience.com/how-to-do-text-similarity-search-and-document-clustering-in-bigquery-75eb8f45ab65
66. Building a Data Platform to Enable Analytics and AI-Driven Innovation medium.com/swlh/building-a-data-platform-to-enable-analytics-and-ai-driven-innovation-1bd95e37efb9
67. Trying out Data QnA on BigQuery and Google Sheets medium.com/daas-labs/trying-out-data-qna-on-bigquery-and-google-sheets-e47939fddf25
68. How to Create County Boundary Maps Only of Populated Areas medium.com/swlh/how-to-create-county-boundary-maps-only-of-populated-areas-51550832163
69. How to load XML data into BigQuery using Python Dataflow medium.com/google-cloud/how-to-load-xml-data-into-bigquery-using-python-dataflow-fd1580e4af48
70. Graph data analysis with Cypher and Spark SQL on Cloud Dataproc levelup.gitconnected.com/graph-data-analysis-with-cypher-and-spark-sql-on-cloud-dataproc-861ba6b7b648
71. The best of both worlds: Calling Auto ML from BigQuery towardsdatascience.com/the-best-of-both-worlds-calling-auto-ml-from-bigquery-9dfd433a45d6
72. Loading and transforming data into BigQuery using dbt medium.com/google-cloud/loading-and-transforming-data-into-bigquery-using-dbt-65307ad401cd
73. How to use Dynamic SQL in BigQuery towardsdatascience.com/how-to-use-dynamic-sql-in-bigquery-8c04dcc0f0de
74. How to export a BigQuery ML model and deploy it for online prediction towardsdatascience.com/how-to-export-a-bigquery-ml-model-and-deploy-it-for-online-prediction-a7e4d44c4c93
75. Using BigQuery Flex Slots to run machine learning workloads more efficiently medium.com/google-cloud/using-bigquery-flex-slots-to-run-machine-learning-workloads-more-efficiently-7fc7f400f7a7
76. Displaying BigQuery results on Google Maps using Data Studio medium.com/google-cloud/displaying-bigquery-results-on-google-maps-using-data-studio-bded264bfd53
77. Calling Google Cloud Machine Learning APIs from Batch and Stream ETL pipelines medium.com/google-cloud/calling-google-cloud-machine-learning-apis-from-batch-and-stream-etl-pipelines-9a789ac6f972
78. Using BigQuery (and BigQuery ML) from Kubeflow Pipelines medium.com/google-cloud/using-bigquery-and-bigquery-ml-from-kubeflow-pipelines-991a2fa4bea8
79. Training a recommendation model for Google Analytics data using BigQuery ML towardsdatascience.com/training-a-recommendation-model-for-google-analytics-data-using-bigquery-ml-2327f9a2e8e9
80. How to find the interior centroid of US counties using BigQuery GIS medium.com/google-cloud/how-to-find-the-interior-centroid-of-us-counties-using-bigquery-gis-de396f0fad03
81. Building a FAQ bot in DialogFlow in 15 minutes medium.com/google-cloud/building-a-faq-bot-in-dialogflow-in-15-minutes-bfcda2644abc
82. Analyzing COVID-19 with BigQuery medium.com/@lakshmanok/analyzing-covid-19-with-bigquery-13701a3a785
83. How to do time series forecasting in BigQuery towardsdatascience.com/how-to-do-time-series-forecasting-in-bigquery-af9eb6be8159
84. How to copy a BigQuery dataset from one region to another medium.com/google-cloud/how-to-copy-a-bigquery-dataset-from-one-region-to-another-8388d74da2ac
85. How to backup a BigQuery table (or dataset) to Google Cloud Storage and restore from it medium.com/google-cloud/how-to-backup-a-bigquery-table-or-dataset-to-google-cloud-storage-and-restore-from-it-6ef7eb322c6d
86. How to query geographic raster data in BigQuery efficiently medium.com/google-cloud/how-to-query-geographic-raster-data-in-bigquery-efficiently-b178b1a5e723
87. How to carry out CI/CD in Machine Learning (“MLOps”) using Kubeflow ML pipelines (Part 3) medium.com/google-cloud/how-to-carry-out-ci-cd-in-machine-learning-mlops-using-kubeflow-ml-pipelines-part-3-bdaf68082112
88. How to read BigQuery data from TensorFlow 2.0 efficiently towardsdatascience.com/how-to-read-bigquery-data-from-tensorflow-2-0-efficiently-9234b69165c8
89. Querying geographic raster data in BigQuery the brute force way levelup.gitconnected.com/querying-geographic-raster-data-in-bigquery-the-brute-force-way-1da46799d65f
90. k-Means Clustering in BigQuery now does better initialization towardsdatascience.com/k-means-clustering-in-bigquery-now-does-better-initialization-3d7e7567bad3
91. Advent of Code 2019 in Apache Beam (Days 1–3) medium.com/@lakshmanok/advent-of-code-2019-in-apache-beam-days-1-and-2-7e0516edb952
92. Simplified data transformations for machine learning in BigQuery cloud.google.com/blog/products/data-analytics/simplified-data-transformations-for-machine-learning-in-bigquery
93. ML Design Pattern #5: Repeatable sampling towardsdatascience.com/ml-design-pattern-5-repeatable-sampling-c0ccb2889f39
94. ML Design Pattern #4: Keyed Predictions towardsdatascience.com/ml-design-pattern-4-keyed-predictions-a8de67d9c0f4
95. How to run serverless batch jobs on Google Cloud. medium.com/google-cloud/how-to-run-serverless-batch-jobs-on-google-cloud-ca45a4e33cb1
96. ML Design Pattern #3: Virtual Epochs.medium.com/google-cloud/ml-design-pattern-3-virtual-epochs-f842296de730
97. ML Design Pattern #2: Checkpoints towardsdatascience.com/ml-design-pattern-2-checkpoints-e6ca25a4c5fe
98. How to improve the performance of BigQuery queries by optimizing the schema of your tables medium.com/google-cloud/how-to-improve-the-performance-of-bigquery-queries-by-optimizing-the-schema-of-your-tables-e4c36077fa2d
99. ML Design Pattern #1: Transform medium.com/swlh/ml-design-pattern-1-transform-9e82ccbc3209
100. Efficient spatial matching in BigQuery medium.com/google-cloud/efficient-spatial-matching-in-bigquery-c4ddc6fb9f69
101. How to load GeoJSON files into BigQuery GIS medium.com/google-cloud/how-to-load-geojson-files-into-bigquery-gis-9dc009802fb4
102. How to do hyperparameter tuning of a BigQuery ML model. towardsdatascience.com/how-to-do-hyperparameter-tuning-of-a-bigquery-ml-model-29ba273a6563
103. Every data pipeline needs a real-time dashboard of business data. medium.com/97-things/build-a-dashboard-for-every-data-pipeline-df140d8d24a9
104. How to run Python code on your BigQuery table. medium.com/google-cloud/how-to-run-python-code-on-your-bigquery-table-1bbd78c69351
105. How to build a wide-and-deep model using Keras in TensorFlow 2.0. towardsdatascience.com/how-to-build-a-wide-and-deep-model-using-keras-in-tensorflow-2-0-2f7a236b5a4b
106. How to use K-Means clustering in BigQuery ML to understand and describe your data better. Unsupervised learning using just SQL on Google Cloud. medium.com/@lakshmanok/how-to-use-k-means-clustering-in-bigquery-ml-to-understand-and-describe-your-data-better-c972c6f5733b
107. How to use Jupyter on a Google Cloud VM. Recipes for Notebooks on Google Cloud Platform. towardsdatascience.com/how-to-use-jupyter-on-a-google-cloud-vm-5ba1b473f4c2
108. How to do batch predictions of TensorFlow models directly in BigQuery. BigQuery ML now supports TensorFlow SavedModel. towardsdatascience.com/how-to-do-batch-predictions-of-tensorflow-models-directly-in-bigquery-ffa843ebdba6
109. Google Tulip: The Technical Details. How we use machine learning to improve the well-being of flowers medium.com/google-cloud/google-tulip-the-technical-details-719c317bf2df
110. BigQuery ML gets faster by computing a closed-form solution (sometimes) medium.com/google-cloud/bigquery-ml-gets-faster-by-computing-a-closed-form-solution-sometimes-1baa5a838eb6
111. How to do Bayesian hyper-parameter tuning on a blackbox model towardsdatascience.com/how-to-do-bayesian-hyper-parameter-tuning-on-a-blackbox-model-882009552c6d
112. Choosing between TensorFlow/Keras, BigQuery ML, and AutoML Natural Language for text classification towardsdatascience.com/choosing-between-tensorflow-keras-bigquery-ml-and-automl-natural-language-for-text-classification-6b1c9fc21013
113. How to tune a BigQuery ML classification model to achieve a desired precision or recall towardsdatascience.com/how-to-tune-a-bigquery-ml-classification-model-to-achieve-a-desired-precision-or-recall-e4d40b93016a
114. How to hire a Machine Learning team towardsdatascience.com/how-to-hire-a-machine-learning-team-b8055fff57f
115. How to deploy Jupyter notebooks as components of a Kubeflow ML pipeline (Part 2) towardsdatascience.com/how-to-deploy-jupyter-notebooks-as-components-of-a-kubeflow-ml-pipeline-part-2-b1df77f4e5b3
116. How to create and deploy a Kubeflow Machine Learning Pipeline (Part 1) towardsdatascience.com/how-to-create-and-deploy-a-kubeflow-machine-learning-pipeline-part-1-efea7a4b650f
117. Scheduling data ingest using Cloud Functions and Cloud Scheduler towardsdatascience.com/scheduling-data-ingest-using-cloud-functions-and-cloud-scheduler-b24c8b0ec0a5
118. Debugging a machine learning model written in TensorFlow and Keras towardsdatascience.com/debugging-a-machine-learning-model-written-in-tensorflow-and-keras-f514008ce736
119. How to run Cloud Datalab on your laptop medium.com/google-cloud/how-to-run-cloud-datalab-on-your-laptop-14520195aa8c
120. How to concatenate sharded files on Google Cloud Storage automatically using Cloud Functions medium.com/@lakshmanok/how-to-write-to-a-single-shard-on-google-cloud-storage-efficiently-using-cloud-dataflow-and-cloud-3aeef1732325
121. Now on Coursera: Advanced Machine Learning with TensorFlow on Google Cloud Platform google.com/blog/topics/training-certifications/now-on-coursera-advanced-machine-learning-with-tensorflow-on-google-cloud-platform
122. How to write a custom Estimator model for the Cloud TPU medium.com/tensorflow/how-to-write-a-custom-estimator-model-for-the-cloud-tpu-7d8bd9068c26?linkId=56514703
123. Why feature weights in a machine learning model are meaningless medium.com/lakshmanok/why-feature-weights-in-a-machine-learning-model-are-meaningless-b0cd22a4c159
124. Using BigQuery ML and BigQuery GIS together to predict NYC taxi trip cost cloud.google.com/blog/products/ai-machine-learning/bigquery-ml-and-bigquery-gis-used-together-predict-nyc-taxi-trip-cost
125. How to serve an embedding trained with Estimators medium.com/tensorflow/how-to-serve-an-embedding-trained-with-estimators-681d5fa2fbe2?linkId=55506784
126. How to do online prediction with BigQuery ML towardsdatascience.com/how-to-do-online-prediction-with-bigquery-ml-db2248c0ae5
127. How to do serverless machine learning with scikit-learn on Google Cloud ML Engine towardsdatascience.com/how-to-do-serverless-machine-learning-with-scikit-learn-on-google-cloud-ml-engine-db26dcc558a2
128. How to train and predict regression and classification ML models using only SQL — using BigQuery ML towardsdatascience.com/how-to-train-and-predict-regression-and-classification-ml-models-using-only-sql-using-bigquery-ml-f219b180b947
129. How to load geographic data like zipcode boundaries into BigQuery medium.com/google-cloud/how-to-load-geographic-data-like-zipcode-boundaries-into-bigquery-25e4be4391c8
130. Using BigQuery's new geospatial functions to interpolate temperatures towardsdatascience.com/using-bigquerys-new-geospatial-functions-to-interpolate-temperatures-d9363ff19446
131. How to train a ResNet image classifier from scratch on TPUs on Cloud ML Engine​  cloud.google.com/blog/big-data/2018/07/how-to-train-a-resnet-image-classifier-from-scratch-on-tpus-on-cloud-ml-engine
132. Explaining the joke: “Half the time when companies say they need ‘AI’, what they really need is a SELECT clause with a GROUP BY”​towardsdatascience.com/explaining-the-joke-half-the-time-when-companies-say-they-need-ai-what-they-really-need-is-a-3ca244beff10
133. How to enable Pandas to access BigQuery from a service account towardsdatascience.com/how-to-enable-pandas-to-access-bigquery-from-a-service-account-205a216f0f68
134. How to write modular, readable SQL using named result sets and functions medium.freecodecamp.org/how-to-write-modular-readable-sql-using-named-result-sets-and-functions-ac49f1ca25c1
135. Exploring a powerful SQL pattern: ARRAY_AGG, STRUCT and UNNEST medium.freecodecamp.org/exploring-a-powerful-sql-pattern-array-agg-struct-and-unnest-b7dcc6263e36  
136. How to build a collaborative filtering model for personalized recommendations using TensorFlow and TensorFlow Transform https://towardsdatascience.com/how-to-build-a-collaborative-filtering-model-for-personalized-recommendations-using-tensorflow-and-b9a77dc1320
137. How to customize distributed training when using the TensorFlow Estimator API​ https://towardsdatascience.com/how-to-configure-the-train-and-evaluate-loop-of-the-tensorflow-estimator-api-45c470f6f8d
138. Hyperparameter tuning on Google Cloud Platform is now faster and smarter https://cloud.google.com/blog/big-data/2018/03/hyperparameter-tuning-on-google-cloud-platform-is-now-faster-and-smarter
139. How to extend a canned TensorFlow estimator to add more evaluation metrics and to pass through instance keys https://medium.com/@lakshmanok/how-to-extend-a-canned-tensorflow-estimator-to-add-more-evaluation-metrics-and-to-pass-through-ddf66cd3047d
140. Cloud poetry: training and hyperparameter tuning custom text models on Cloud ML Engine: https://cloud.google.com/blog/big-data/2018/02/cloud-poetry-training-and-hyperparameter-tuning-custom-text-models-on-cloud-ml-engine
141. Machine Learning with TensorFlow on Google Cloud Platform: code samples https://medium.com/@lakshmanok/machine-learning-with-tensorflow-on-google-cloud-platform-code-samples-7c1bc07cd265
142. Machine Learning with Structured Data: Deploying a Web Application (Part 3) https://cloud.google.com/solutions/machine-learning/ml-on-structured-data-deploy-3
143. Machine Learning with Structured Data: Training the Model (Part 2) https://cloud.google.com/solutions/machine-learning/ml-on-structured-data-model-2
144. Machine Learning with Structured Data: Data Analysis and Prep (Part 1) https://cloud.google.com/solutions/machine-learning/ml-on-structured-data-analysis-prep-1
145. How to process weather satellite data in real-time in BigQuery and Python Dataflow https://cloud.google.com/blog/big-data/2018/01/how-to-process-weather-satellite-data-in-real-time-in-bigquery
146. How to schedule a BigQuery ETL job with Cloud Dataprep https://medium.com/google-cloud/how-to-schedule-a-bigquery-etl-job-with-dataprep-b1c314883ab9
147. How to move from tf.contrib.learn Estimator to core TensorFlow tf.estimator towardsdatascience.com/how-to-move-from-tf-contrib-learn-estimator-to-core-tensorflow-tf-estimator-af07b2d21f34​
148. Considerations for sensitive data within Machine Learning datasets https://cloud.google.com/solutions/sensitive-data-and-ml-datasets
149. Google Cloud provides a unified, streamlined way to execute your ML strategy (https://cloud.google.com/blog/big-data/2017/11/google-cloud-provides-a-unified-streamlined-way-to-execute-your-ml-strategy)
150. The windiest place in the USA is in Utah https://medium.com/@lakshmanok/the-windiest-place-in-the-usa-is-in-utah-861d7438bc31
151. New Hands-on Labs for Scientific Data Processing on Google Cloud Platform https://cloud.google.com/blog/big-data/2017/07/new-hands-on-labs-for-scientific-data-processing-on-google-cloud-platform
152. How to do text classification with CNNs, TensorFlow and word embedding (https://medium.com/@lakshmanok/how-to-do-text-classification-using-tensorflow-word-embeddings-and-cnn-edae13b3e575)
153. Visualization and large-scale processing of historical weather radar (NEXRAD Level II) data (https://cloud.google.com/blog/big-data/2017/06/visualization-and-large-scale-processing-of-historical-weather-radar-nexrad-level-ii-data)
154. How to do time-series prediction using RNNs, TensorFlow and Cloud ML Engine (https://medium.com/@lakshmanok/how-to-do-time-series-prediction-using-rnns-and-tensorflow-and-cloud-ml-engine-2ad2eeb189e8)
155. Using Google Cloud Machine Learning to manage Dutch weather conditions (https://cloud.google.com/blog/big-data/2017/04/using-google-cloud-machine-learning-to-manage-dutch-weather-conditions) -- a Google Cloud April Fools' Day Prank
156. How to automate project creation using gcloud (https://medium.com/@lakshmanok/how-to-automate-project-creation-using-gcloud-4e71d9a70047#.5d0dlmvps)
157. Repeatable sampling of datasets in BigQuery for machine learning (https://www.oreilly.com/learning/repeatable-sampling-of-data-sets-in-bigquery-for-machine-learning)
158. How to do distributed processing of Landsat data in Python (https://cloud.google.com/blog/big-data/2016/11/how-to-do-distributed-processing-of-landsat-data-in-python)
159. How to quickly experiment with Dataflow (https://medium.com/google-cloud/quickly-experiment-with-dataflow-3d5a0da8d8e9#.4em771snl)
160. Global historical weather data now available in BigQuery (cloudplatform.googleblog.com/2016/09/global-historical-daily-weather-data-now-available-in-BigQuery.html)
161. Open Data requires democratizing analysis of that data (medium.com/google-cloud/open-data-requires-democratizing-analysis-of-that-data-b3910f1f5e77#.338lpyo2p)
162. Cloud Dataflow can autoscale R programs for massively parallel processing (medium.com/google-cloud/cloud-dataflow-can-autoscale-r-programs-for-massively-parallel-data-processing-492b57bd732d#.55eaqkxyv)
163. Is this presidential election more negative than years past? Yes. (On Google NLP API: medium.com/google-cloud/is-this-presidential-election-more-negative-than-years-past-yes-ca254e35eb9#.2a23inbyl)
164. How to invoke a trained TensorFlow model from Java programs (medium.com/google-cloud/how-to-invoke-a-trained-tensorflow-model-from-java-programs-27ed5f4f502d#.b2bc2fmbf)
165. Java projects on github that could use some help, analyzed using BigQuery and Dataflow (medium.com/google-cloud/popular-java-projects-on-github-that-could-use-some-help-analyzed-using-bigquery-and-dataflow-dbd5753827f4#.59pzyc4dx)
166. How to forecast demand with Google BigQuery, public datasets and TensorFlow (cloud.google.com/blog/big-data/2016/05/how-to-forecast-demand-with-google-bigquery-public-datasets-and-tensorflow)
167. Big Data, Cloud and NOAA's CRADA with AWS (https://eng.climate.com/2016/01/07/nexrad-crada-aws/)
168. w2clustertable: A way to track storm characteristics over time (blog.nssl.noaa.gov/wdssii/2014/07/w2clustertable-a-way-to-track-storm-properties-over-time/)
169. Creating Rotation Tracks using WDSS-II (blog.nssl.noaa.gov/wdssii/2014/04/creating-rotation-tracks-using-wdss-ii/)
170. w2polygon2csv: A way to extract statistics (blog.nssl.noaa.gov/wdssii/2014/03/w2polygon2csv-a-way-to-extract-statistics/)