Machine Learning and Google APIs

Yiğit Konur discusses practical applications using Machine Learning and Google APIs, illustrating with real examples how fast machine learning technologies are advancing.

Speakers: Yiğit Konur

Content author

12 Feb 2018

Google provides an extensive ecosystem of APIs that reveal the scope of its machine learning capabilities. You can directly interact with many of the machine learning initiatives Google develops through these specialized endpoints.

For instance, the Cloud Vision API offers an impressive computer vision solution. By simply uploading or referencing an image, the API extracts detailed entity detections, recognizes facial expressions, detects clothing items, and identifies complex visual context. This fundamentally disproves the outdated notion that search engines cannot interpret graphical content, demonstrating how machine learning decodes visual assets with high precision.

Google's Natural Language API is another prominent example. It parses syntactic structure, extracts entities, and analyzes sentiment across English, Spanish, Japanese, and numerous other languages.

Additionally, through TensorFlow and open-source models, Google enables teams to train and evaluate custom machine learning architectures. A practical example is the Smart Autofill functionality for spreadsheet data. Consider a secondary automotive marketplace dataset with multiple metrics—vehicle price, mileage, door count, and trim model. If certain pricing records are missing, machine learning models analyze surrounding attributes to accurately estimate and fill missing values.

Exploring these APIs is critical for digital practitioners seeking to expand their technical horizon. It provides direct, empirical proof of search engine intelligence, removing reliance on unsubstantiated speculation.

Video Transcript

⏱ 3 min read• 426 words

Read the full speech or switch languages

There's a huge pool out there for understanding what Google can actually do. That pool is Google's API'ları. Whatever Google is working on right now with machine learning, you can reach at least part of it. The API'ları give you that access directly. Let me give you a couple of real examples. Cloud Vision API is a great solution. You just drag and drop any image. It tells you what's inside that image. Is there a person? Are they smiling? What's their facial expression? What clothes are they wearing? Cloud Vision API answers all of that.

For years we SEOs argued that Google can't read images. This pretty much destroys that argument. It's amazing tech that can describe an image using machine learning. Then there's Google's Natural Language API. It works with English, Spanish, and Japanese. You send it your content. It figures out what's in that text and hands the data back to you. Just search either API name on Google. The first result lets you test it right there. Google also has an actual machine learning system. You feed it certain data. You tell it, "Here are the results for this data. Interpret it accordingly." And this comes to you as an API too.

Or you can use systems like TensorFlow. That way you tap into machine learning yourself, open source. I've got a nice example for this. Google has an add-on called Smart Autofill. It works together with Google Sheets. I'd definitely recommend setting this up and trying it. The demo data covers this: a used car marketplace with 4 different metrics. You've got the car's price. How many miles it has. How many doors. The car's type and model. All kinds of different metrics here. Based on those metrics, Google gives you this: if certain prices were deleted from the data, you hand the data straight to Google. You say "find me these missing prices." And Google figures out what drives the price. It understands which variables in the table affect price. Then it fills in the blanks.

So if a 2-door 2003 model runs $2,000, it knows the 2002 model is probably $1,800. But it also auto-calculates how mileage affects that number. And it lets you understand your whole dataset. You give it zero input. Just the rows and columns. Poking at these API'ları is a lot of fun on the SEO side. It can really broaden your vision and push you forward. You also get to see how smart Google really is. Test it yourself instead of trusting the myths.

This transcript was generated using AI speech recognition and verified against subtitle style rules.

Yiğit Konur

Content author

Yiğit Konur

both

Contact us

How we handle your data

Open as a full page